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Introduction to Life Sciences: Fundamentals of Life

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3 | 1 | 0 | 4

Course Content

Introduction to Life Sciences: Fundamentals of Life [BE 101]

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3 | 1 | 0 | 4

Fundamentals of Biochemistry, Genetics, Molecular Biology, and Cell Biology; Structure and Regulation of Genes; Structure and Function of Proteins; How DNA, Proteins, and different units combine together to integrate into cells; How the cells integrate into multicellular systems and organisms; Concepts in population biology: principles of macro- and microevolution, population genetics, and population dynamics; Role of an engineer in Biology

BE 101

Molecular Genetics

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3 | 0 | 0 | 2

Course Content

Molecular Genetics [BE 301]

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3 | 0 | 0 | 2

Structure of nucleic acids, Transcription, Translation, DNA replication, DNA repair and recombination; Gene expression in bacteria and eukaryotes, regulatory sequences, activators, repressors, regulation of transcription factors, elongation and termination of transcription; Post-transcriptional gene control, Processing of pre-mRNA and regulation, transport of mRNA and degradation.

BE 301

Bionanotechnology – Principles and Applications

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3 | 0 | 0 | 4

Course Content

Bionanotechnology – Principles and Applications [BE 303]

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3 | 0 | 0 | 4

Introduction to Nanotechnology and special focus on Bionanotechnology.

Nanotechnology with molecules of life: Proteins-Proteins Structures, Designs, Nanomachines, Origami designs and Applications; Carbohydrates-Glyconanotechnology, Applications in Glycobiology, vaccination, delivery and cell biology; Lipids-Structure, function, designs, membranes and applications in drug delivery formulations and cell biology; Combinatorial Bionanotechnology-Hybrid formulations, structures, functions and applications.

DNA Nanotechnology: Structure of DNA- Why DNA is genetic material of life?; Naturally occuring DNA nanomachines; Discovery of DNA nanotechnology - Initial designs and validations; Multi-arm DNA based 1/2/3D nanodevices; DNA Origami; Non-canonical Motifs and applications-Aptamers, i-motif, G-quadruplexes.

Applications of DNA Nanotechnology: Cell Engineering; Theranostics Diagnostics (Biosensing) and therapeutic applications; Biomedical Applications-Bioimaging including super-resolution imaging and single-particle tracking; DNA based computing and robotics.

BE 303

Introduction to Biomedical Engineering

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Course Content

Introduction to Biomedical Engineering [BE 304]

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This course will provide an introductory overview of the multi-disciplinary field of biomedical engineering. We will discuss applications of elementary engineering principles to the analyses of physiological systems for addressing challenges in health care. The course topics will include the following:

1. Biomedical engineers and modern health care systems: Addressing unmet clinical needs, interfacing with clinicians, research, and development
2. Overview of anatomy and physiology: Cellular organization, tissues, major organ systems, communication systems, respiration, digestion, circulation, removal of molecules, homeostasis
3. Biomechanics: Basic mechanics (elasticity, viscosity, deformation and viscoelasticity), mechanics of tissues (e.g., cartilage, ligaments, tendon, muscle), physics and mechanics of locomotion (e.g., walking, running, swimming), design in biomechanics and orthopedics
4. Biomaterials: Materials in medicine, lessons from nature on biomaterial design and selection, tissue-biomaterial interactions, safety testing
5. Tissue engineering: Challenges in organ transplantation, cell culture, regulation of healing processes, replacement of diseased tissues, tissue engineering in control of drug delivery, artificial organs
6. Biosignals: Acquiring and analyzing biosignals, electrocardiogram (ECG), electroencephalography (EEG), electromyogram (EMG), thermography, blood flow analysis
7. Brief overview of imaging: Optical microscopy, X-Rays, computed tomography, magnetic resonance, ultrasound, and nuclear medicine
8. Medical devices: Classes of medical devices, considerations for design and development, introduction to regulatory processes in Indian, U.S., and European markets, case studies from India and abroad
9. Bioethics: Animal and human experimentation, informed consent, euthanasia, ethical issues in feasibility studies, ethical clearance

BE 304

Methods in Biology

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Course Content

Methods in Biology [BE 401]

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Basic laboratory techniques that are an integral part of a Biological Engineering program will be explored in detail via laboratory experiments. This is a laboratory course in which we will conduct experiments in Molecular biology including PCR, restriction enzyme digestion, gel electrophoresis, cloning, ligation, transformation, Protein expression & purification in prokaryotic systems (e.g. affinity chromatography, size exclusion chromatography) and characterization of proteins by SDS- PAGE, Western blotting.

BE 401

Stem Cells: Science and Applications

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3 | 0 | 0 | 4

Course Content

Stem Cells: Science and Applications [BE 403]

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3 | 0 | 0 | 4

1. Introduction to Stem Cells: Basic overview of stem cells--what they are, the history of stem cell research, and the potential for stem cell therapies. Stem cells are found throughout the tree of life. 2. How do Stem Cells work: How to induce stem cells to differentiate into particular cell types? New stem cell-assisted technologies such as mitochondrial replacement therapy and generating chimeras for organ transplantation. Background information on the science and ethics of cloning, gene editing methods with special focus on gene editing in stem cells. Combining genome editing and stem cell engineering as link that explores the use of stem cells to understand disease and the use of stem cells as therapeutics. 3. Using Stem Cells to study Diseases: How cultured cells can be used to understand the cause of diseases and to look for drugs that will potentially cure them. We will also explore how stem cells have the potential to help with the study of diseases like hematological disorders, diabetes and Alzheimer's. 4. Using Stem Cells to Treat Diseases: Explore the potential for using stem cells in our own bodies (adult stem cells) to treat hematological disorders, age-related macular degeneration, neuronal-degeneration and like diseases. Some tools for evaluating potential stem cell treatments will be covered in details. 5. The Bioethics of Stem Cell Research and Therapy: Discuss some of the controversies surrounding human embryonic stem cells and the legal, policy, and ethical challenges associated with the use of stem cells in basic and clinical research. Discussion about the future of reproductive technology and stem cell research.

BE 403

Genetic Engineering – Principles and Applications

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3 | 0 | 0 | 4

Course Content

Genetic Engineering – Principles and Applications [BE 404]

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3 | 0 | 0 | 4

Module a. Introduction to genetic engineering + Fundamentals of molecular and cell biology
Brief Introduction to the course and area of genetic engineering, Transcription, Translation, DNA replication and Recombination.
Module b. Introduction to Recombinant DNA technology
Polymerase Chain Reaction, Fundamental techniques of gene manipulation, Basic principles of gene cloning, Vectors for gene cloning, Purification of DNA from living cells, Isolation of desired Gene, Manipulation of purified DNA.
Module c. Introduction of DNA into living cells
Transgenics, chimeras, somatic and germ-line gene delivery, site directed mutagenesis, therapeutic reverse mutations, production of recombinant proteins in E.coli and other organisms.
Module d: Principles of Gene editing
CRISPR-Cas9 technology, genetic manipulation of microbes, plants and animals.
Module e: Applications of gene cloning and DNA analysis in Biotechnology
Gene cloning and DNA analysis in Medicine, Gene cloning and DNA analysis in Agriculture, Gene Cloning and DNA analysis in Forensic science and Archaeology, Ethical issues and concerns related to Genetically modified organisms.

BE 404

Introduction to Plant Biotechnology

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3 | 0 | 0 | 4

Course Content

Introduction to Plant Biotechnology [BE 405]

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3 | 0 | 0 | 4

Module a. Introduction to Origin of plant biotechnology
History and development of plant biotechnology
Module b. Introduction to laboratory organization and techniques in tissue culture
Laboratory organization methods and criteria; introduction to plant tissue culture; plasticity and totipotency; nutrition medium, sterilization techniques; cytodifferentiation; organogenic differentiation; types of cultures: seed culture, embryo culture, callus culture, organ culture, cell culture, protoplast culture; Micropropogation, generation of virus free plants; plant regeneration (somatic embryogenesis); cell suspension and secondary metabolites; invitro production of haploids (anther culture, microspore culture
Module c. Special techniques in plant biotechnology
Protoplast isolation; somatic hybridization; embryo rescue; somaclonal variation; germplasm storage and cryopreservation
Module d: Transgenic technology for crop improvement
Recombinant DNA technology; strategies for cloning genes from plants; gene transfer in plants; transgenics in crop improvement; current state of transgenic crops and GM crop regulation
Module e. Beyond genetically modified crops
Genome editing; genetic mapping; insertional mutagenesis and tilling; functional genomics.

BE 405

Applied Biological Engineering

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Course Content

Applied Biological Engineering [BE 601]

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Advanced themes that are an integral part of a modern Biological Engineering graduate program will be explored in detail. A representative list of topics is given below:
  • Nucleic acid in disease diagnosis: Detection of TB and Malaria by PCR, diagnosis of HIV by qPCR, monitoring flu evolution and hereditary genetic tests.
  • Antibiotic resistance: Prevalence and development of resistance in microbes. New approaches to identification and management of resistance.
  • Recombinant DNA technologies: Cloning vectors, mutagenesis methods, manipulation of gene expression in prokaryotes, introduction to eukaryotic gene expression systems.
  • DNA forensics: Sample collection, DNA extraction methods, DNA database searches, role of bioinformatics, low level and degraded DNA detection.
  • Waste water treatment and microbes: Aerobic and anaerobic oxidation, role of activated sludge, microbial ecology of a water treatment plant, genetically engineered microbes.
  • Biotechnology and clean energy: Renewable sources of energy, biofuel production by microbes, hydrogen producing biological systems and challenges.
  • Protein Engineering: Protein folding and recognition for protein design principles, Structure- Based Combinatorial Protein Engineering (SCOPE), proteomics.
  • Cancer Diagnostics: Diagnostics Imaging; X-rays, CAT-scan (computerized axial tomography), Magnetic Resonance Imaging (MRI), ultrasound. Tumor Markers Microarrays in Cancer Diagnostics, Mass Spectrometry in Cancer Diagnostics.

    • BE 601

    Biophysical Techniques

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    Course Content

    Biophysical Techniques [BE 603]

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    3 | 0 | 1 | 4

    Molecular structure determination: Part A: X-ray crystallography, the single most important technique used in determining the 3-D structure of macromolecules: Structural elucidation of proteins, Nucleic acids (DNA). Crystallographic theory, exercises on crystallization, data processing and model building (Docking, related software). Part B: Biophysical techniques are covered that supplement the 3-D characterization of biological macromolecules: NMR (Amino Acids, Mononucleotides, Proteins and Nucleic Acids) and mass spectroscopy (Fragmentation studies: A tool for structural elucidation of proteins).

    BE 603

    Cellular signaling

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    3 | 0 | 0 | 2

    Course Content

    Cellular signaling [BE 605]

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    3 | 0 | 0 | 2

    Importance of cellular communication illustrated using some classic pathways (GPCR, Ras- MAPK etc) as examples; How signal transduction cascades are affected by disease states (various cancers, cardiovascular problems etc); Drug discovery (in the context of signaling pathways) wherein knowledge of the players of a specific signaling pathway has helped design drugs ( Eg: Gleevac)

    BE 605

    Neurophysiological Basis of Movement

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    3 | 0 | 0 | 4

    Course Content

    Neurophysiological Basis of Movement [BE 606]

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    3 | 0 | 0 | 4

    Muscle Physiology, Motor units and electromyography, Voluntary control of a single muscle, Voluntary control of single joint movements, Cortical and subcortical control, Ascending and Descending Pathways, Control and coordination of multijoint movements, Constraints on motor control: neurological impairments, Motor learning and recovery of function, Rehabilitation approaches

    BE 606

    Molecular and Cellular Biotechnology

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    3 | 0 | 0 | 4

    Course Content

    Molecular and Cellular Biotechnology [BE 607]

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    3 | 0 | 0 | 4

    Topics covered in the course will cover fundamentals of molecular & cell biology including DNA replication, DNA recombination and repair, transcription, translation, gene regulation, post-transcriptional and post-translational processes, cellular transport as well as the basics of recombinant DNA technologies, PCR, cloning, mutagenesis, Sanger sequencing, heterologous expression systems.

    BE 607

    Molecular Basis of Neurodegenerative Diseases

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    3 | 0 | 0 | 4

    Course Content

    Molecular Basis of Neurodegenerative Diseases [BE 608]

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    3 | 0 | 0 | 4

    Overview of neurodegenerative diseases (NDs) including Alzheimer’s Disease (AD), Parkinson’s Disease (PD), Huntington’s Disease (HD), Progressive supranuclear palsy (PSP) and prion disease; Pathological events in human neurodegeneration; Genetic variation in inherited and sporadic disease; Role of pathogenic proteins and their aggregation, Inter and intracellular transmission of toxic species including Prion mechanism; Other prevalent disease mechanism hypotheses: Abnormal post- translational modifications, ubiquitin proteasome system (UPS) impairment, autophagy dysfunction, ,oxidative stress and inflammation, microbial infection; Development of therapeutic approaches including genome editing methods: latest trends and future perspective

    BE 608

    Molecular Oncology

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    3 | 0 | 0 | 4

    Course Content

    Molecular Oncology [BE 610]

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    Nature of a cancer cell, similarities and differences from a normal cell; Molecular biology of cell growth, cycling and proliferation in oncogenic transformation (oncogenes and TSGs); Experimental and spontaneous cell transformation; Genetic and Epigenetic bases of cancer; Cancer initiating/stem cells; Genomic and epigenomic integrity vis-a-vis tumorigenesis; Stress and cancer cell survival (senescence, apoptosis and other forms of cell death in tumor environment); Cell immortality and tumorigenesis; Cellular and animal models of cancer.

    BE 610

    Fluorescence Proteins and their Applications

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    3 | 0 | 0 | 4

    Course Content

    Fluorescence Proteins and their Applications [BE 611]

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    3 | 0 | 0 | 4

    Introduction to Fluorescent Proteins; Discovery of Green Fluorescent Protein (GFP); Primary, secondary, tertiary, and quaternary structure of GFP; Expression, formation, maturation, renaturation, and observation; Constructing of Fluorescent Protein Paint-box; Absorbance and fluorescence properties; Fluorescence Quantification; Photoactivatable and Photoconvertable fluorescent proteins; Fluorescent Proteins in Protein-Protein interaction; Fluorescent Proteins in Single molecule analysis; Fluorescent Proteins in determining the oligomeric state of the protein. Fluorescent Proteins as active indicators; Fluorescent Proteins as Photosensitizers; Fluorescent proteins in live cell imaging; Fluorescent Proteins in co- localization; Design and implementation of bimolecular fluorescence Complementation (BiFC); Split-GFP; Superfolder GFP; Optogenetics and potential clinical applications.

    BE 611

    Biological Physics

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    3 | 1 | 0 | 4

    Course Content

    Biological Physics [BE 612]

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    3 | 1 | 0 | 4

    Biology by numbers: Size and geometry of cells and organelles, concentration of cellular building blocks, Energy currencies; Cellular processes at rest: Mechanical and Chemical Equilibrium of biomolecules, Entropy considerations, Random walks and the structure of Macromolecules, Electrostatics of intra and extracellular salty solutions, Biological membranes; Dynamics of cellular processes: A statistical view of biological dynamics, Water and diffusion, Rate equations, dynamics of molecular motors, Light and Electricity in biological systems; Organization of Biological Networks; Biological Patterns in space and time.

    BE 612

    Biochemistry

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    3 | 0 | 0 | 4

    Course Content

    Biochemistry [BE 613]

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    3 | 0 | 0 | 4

    Biomolecules: Chemical bonding, structure and function of carbohydrates, proteins, lipids and nucleic acids, water and its properties.
    Synthesis, separation and purification: biochemistry of cell membrane, isomerism, subcellular fractions and their identification, protein separation and purification from different host system, disorders of carbohydrate and lipid metabolism, peptide synthesis, protein synthesis and post-translation modifications and it importance, protein engineering, protein lithography and its applications.
    Enzymes and their kinetics: enzymes, enzyme kinetics and enzyme regulation, enzyme engineering and its applications.
    Metabolism disorders: Inborn errors of metabolism, digestive diseases, disorders of liver and kidney, principles of thermodynamics, bioenergetics and oxidative phosphorylation. Blood clotting, electrolytes and acid-base balance, biological oxidation and muscle contraction.
    Nucleic acids: Structure and function of nucleotides, primary, secondary and tertiary structure of nucleic acids, DNA and RNA forms and conformations and their biological significance, denaturation and renaturation of DNA and RNA, in vivo and in vitro synthesis of DNA and RNA and their applications.

    BE 613

    Biostatistics

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    2 | 0 | 2 | 4

    Course Content

    Biostatistics [BE 614]

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    2 | 0 | 2 | 4

    The course is aimed at providing an understanding of statistical techniques used to analyze biological and clinical data. The following topics will be covered:
    1. Making sense of and comparing biological datasets (Probability distributions, description of a population, measures of central tendency and dispersion, hypothesis testing, analysis of variance, nonparametric methods, correlation, and regression) 2. Rates and standardization (Rates, Methods for standardization of rates, cross- sectional vs longitudinal studies, person-time observations, Inference on person- time data) 3. Life tables (Computation of life tables, applications of life tables, years of potential life lost) 4. Survival Analysis (life table method, product-limit method, log-rank test) 5. Clinical Trials (randomization, sample size calculation for clinical trials, statistical power, inference on proportions) 6. Genetic Epidemiology (Twin studies, association studies, genome-wide association studies, Manhattan plots, rare variant studies) 7. Risk (risk prediction, additive value of biomarkers, net reclassification index, integrated discrimination improvement) 8. Scale construction and measurement (reliability, validity, responsiveness) 9. Measures of performance of diagnostic tests in clinical practice (Receiver operating characteristic curves, sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratios) 10. Common pitfalls and ethics in biostatistics reporting 11. Ethics in biological research (dealing with biological/human samples, research integrity, informed consent, safety, privacy and data monitoring, rigor, reproducibility)

    BE 614

    Bioinformatics and Computational Biology

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    Course Content

    Bioinformatics and Computational Biology [BE 615]

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    Biological Data- origin (experimental, such as genome sequencing, macromolecular structure determination; and theoretical, such as structure prediction, mathematical modeling), type, representation, analysis and storage.
    Biological sequence analysis- databases- querying and retrieval, alignment- pairwise and multiple, Hidden Markov models, Phylogenetic trees- Bayesian and Maximum likelihood methods, RNA sequence and structure. Genome sequencing, Introduction to proteomics, transcriptomics and metagenomics
    Going 3D- Protein structure, function and evolution, databases (query and retrieval), alignment, protein structure prediction (secondary and tertiary)- conventional and recent deep learning methods, coevolution, protein folding, Introduction to in-silico drug discovery.
    Introduction to systems biology- biological networks- protein interaction networks, regulatory networks.
    Basics of biological computing- Python, Biopython and R- specific only to biological data analysis.

    BE 615

    Human Physiology

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    Course Content

    Human Physiology [BE 616]

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    environment, cellular homeostasis, Transmembrane transport, active and passive.

    Structure of a neuron, membrane potential, excitation and inhibition of nerve cells and signal propagation/conduction across axons, signal transmission between neurons or neurons and target cells.

    Skeletal muscle and neuromuscular junction organization, Skeletal Muscle contraction, Excitation-Contraction Coupling, Functioning of smooth and cardiac muscle cells.

    The Heart as a Pump, cardiac input and output volumes, cardiac blood pressure and its regulation, SA node function and its regulation, signal conduction from SA node to cardiac muscles, PQRS waves and basics of a normal electrocardiogram.

    Architecture of the pulmonary and systemic circulations, arteries, veins, portal systems, peripheral blood pressure and its regulation. Lung-alveolar structural organization, Pulmonary Ventilation and regulation of Gas Exchange, Oxygen and CO2 transport, haemoglobin and RBCs, Chloride shift.

    Capillaries, lymphatic system, lymphatic flow and functions. Body fluid compartments, Oedema, formation of urine, regulation of ion balance and pH. Cellular and molecular bases of blood fluidity and clotting. Basics of innate, acquired immunity, cellular and humoral immunity.

    Neuroendocrine system (growth hormone, adrenal glands, thyroid hormones and reproduction-associated hormones), Hypothalamus-pituitary axis.

    Structural organization of the digestive tract, digestion (carbohydrates, proteins and fats), absorption and transport, utilisation for energy or storage, insulin, glucagon, liver-muscle-adipose crosstalk in energy metabolism and lipoprotein-cholesterol transport, regulation of body core temperature.

    BE 616

    Novel Drug Delivery Technologies: Fundamental Principles and Engineering

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    Course Content

    Novel Drug Delivery Technologies: Fundamental Principles and Engineering [BE 617]

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    Overview of drug delivery: Current landscape of therapeutics and medicinal products. Challenges in the development of new therapeutics. Processes of conventional drug delivery, dosage forms of drugs, delivery routes, biological barriers (Skin, systemic, and local) and toxicity.
    Novel Drug Delivery Technologies: Comprehensive overview of novel drug delivery technologies. Evolution of drug delivery technologies. Mechanisms of drug release (Drug release kinetics: Diffusion, degradation, bioerosion, swelling). Types of novel drug delivery technologies (Controlled drug delivery technologies, targeted drug delivery technologies (Passive and active, bio-responsive drug delivery technologies (pH, enzyme, and light), progress (Intra-articular drug delivery systems, local depots, and local drug therapies for bacterial infections), and promises.
    Wrap-up: Translational and clinical aspects of drug delivery technologies. Present and future advancements of drug delivery technologies. Development process of novel drug delivery technologies from concept to market. Regulatory, intellectual property consideration, industry and start-up opportunities.

    BE 617

    Earth Materials and Processes

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    Course Content

    Earth Materials and Processes [CE 201]

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    Earth Materials: Structure of Solid Earth, Rock cycle, Common rock forming minerals, Types of rocks and its engineering properties, Soils: processes of formation, soil profile and soil types, Geophysical methods of earth characterization; Earth Processes: Concept of plate tectonics, sea-floor spreading and continental drift, Origin of oceans, continents, mountains and rift valleys, Earthquake and earthquake belts; Volcanoes: types products and distribution; Deformation in Earth’s interior, Faults, Folding and Joints; Dynamic behavior of Earth Surface and role of hydrosphere: River processes, Surface water hydrology, Hillslope processes, catchment erosion processes, Coastal Processes, Groundwater and karst processes; Applications in Civil Engineering and Environmental Management.

    CE 201

    Sustainability and Environment

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    Course Content

    Sustainability and Environment [CE 202]

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    Special topics inf the form of case studies will be discussed related to: Introduction to sustainability: humanity and environment, the evolution of environmental policy, climate and global change, climate processes: external and internal controls, modern climate change, climate projections, biosphere, soil and sustainability, biodiversity and ecosystem functions, physical resources: water, pollution, minerals, environmental and resource economics, modern environmental management, systems of waste management, sustainable energy systems, sustainable infrastructure, embodied energy, life cycle, sustainable materials and construction, problem solving and tools of sustainability

    CE 202

    Soil Mechanics

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    3 | 1 | 2 | 5

    Course Content

    Soil Mechanics [CE 301]

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    3 | 1 | 2 | 5

    Phase relations; Soil classification, index properties, grain-size distribution; Effective stress principle; Flow through porous media, Darcy’s law, permeability, different heads, 2-D Seepage and flow nets; Compaction characteristics; Compressibility and Consolidation characteristics, 1-D compression response, Terzaghi’s theory of consolidation, secondary consolidation; Settlement of foundations, immediate and time-dependent settlement, allowable settlement; Shear-strength of Soil, Mohr- coulomb failure criteria, direct shear and UC tests; in situ test – SPT, CPT; Earth-pressure theory, Coulomb and Rankine approaches; Bearing capacity, failure modes, generalized bearing capacity equation, net- and gross bearing capacity, allowable bearing pressure.

    CE 301

    Structural Analysis

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    Course Content

    Structural Analysis [CE 302]

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    Degrees of indeterminacy (flexibility & stiffness); Trusses (including types of trusses), beams and frames: determinate and indeterminate structures, cables and arches; moment area theorem; conjugate beam method; principle of virtual work; energy method; Castigliano’s theorems; unit-load and unit-displacement theorems; reciprocal theorems; Betti's and Maxwell's theorem; method of consistent deformations; slope-deflection method; displacement based methods; influence lines; Muller-Breslau's principle; moment distribution method; column analogy method; Introduction to matrix method. Introduction to using structural analysis software for the analysis of simple structures/structural components.

    CE 302

    Geospatial Engineering

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    Course Content

    Geospatial Engineering [CE 303]

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    Introduction to Surveying, Types of land surveys; Instruments, Topograhpic maps and its interpretation, Measurements and Errors; Units; Types of Errors; Precision and Accuracy; Error Propagation. Concepts of GPS; GPS receivers; GPS positioning mode- point positioning & relative positioning (DGPS & RTK GPS); GPS accuracy and error sources, Applications of GPS. GIS: Introduction, Coordinate systems and datum Projection systems; Spatial data models and data structures; Attribute data input and management; Data editing, exploration and analysis; Digital terrain analysis using DEM data, Path analysis, network applications and watershed analysis.

    CE 303

    Concrete Design

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    Course Content

    Concrete Design [CE 304]

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    Introduction: Properties of concrete and reinforcing steel, design philosophies, limit state, ultimate load method, working stress method; Loads and load combinations; Elements of Masonry design; Limit state method: Design of Beams: Singly reinforced, doubly reinforced, rectangular, T and L beams; Design of Slabs: One way, two way, waffle slabs; Design of Columns: Subjected to concentric and eccentric axial loading; Design of footings: Individual and combined footing; elements of foundation design; Standard and ductile detailing.

    CE 304

    Steel Design

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    Steel Design [CE 305]

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    Design of tension members; Design of beams; Design of compression members; Analysis of eccentrically loaded columns; Design of beam-columns; Design of connections (riveted, bolted and welded); Single and built-up sections.

    CE 305

    Civil Engineering Materials Lab

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    0 | 0 | 4 | 2

    Course Content

    Civil Engineering Materials Lab [CE 306]

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    Background on stones, bricks, tiles, cement, steel, concrete, paints and polymers with relevant discussions of IS code provisions; concrete mix design; durability of concrete.
    Standard consistency, initial and final setting time of cement sample using Vicat’s apparatus; Soundness of given sample of cement and lime by (Le‐Chatelier test, autoclave test); Compressive strength of cement sample; Fineness of cement using (dry blank sieving, Blaine’s air permeability method) + Specific gravity and water absorption of coarse aggregate; Fineness modulus and particle size distribution, shape test and abrasion test of coarse, fine, and all in aggregates; Consistency & workability of freshly mixed concrete (slump & compaction test); Cube strength and cylinder strength of concrete of given proportion and given water cement ratio; Tensile strength of steel; Compressive strength and water absorption of burnt clay bricks and stone samples. Bitumen tests.

    CE 306

    Masonry Design

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    Masonry Design [CE 307]

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    Basic structural behavior and design of low-rise bearing wall buildings; Basic material properties; Strength design of unreinforced masonry elements; Allowable stress design of unreinforced masonry elements; Introduction to reinforced masonry; Introduction to confined masonry.

    CE 307

    Water Resource Engineering

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    Course Content

    Water Resource Engineering [CE 308]

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    Hydraulic processes: control volume approach, continuity, energy, momentum, velocity distribution, Hydrologic processes: introduction to hydrology, precipitation, evaporation, and infiltration, Surface runoff: drainage basins and storm hydrograph, hydrologic losses, unit hydrograph, Streamflow routing: hydrologic reservoir routing, hydrologic river routing, hydraulic routing, Introduction to pipe flow: classification of flow, head losses, forces in pipe flow, Introduction to open channel flow: steady uniform flow, specific energy and specific forces, steady and gradually varied flow, rapidly varied flow, discharge measurement, Introduction to groundwater flow: groundwater concepts, saturated flow, steady state one dimensional flow, steady state well hydraulics, transient well hydraulics, and boundary effects

    CE 308

    Field Survey Project

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    Course Content

    Field Survey Project [CE 309]

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    Survey camp of 7-10 days: Total station survey, Geological survey, Creating survey map of the area including information about geological features at the site. Identification of different rock types and landforms in the area.

    CE 309

    Comprehensive Project - 1

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    Course Content

    Comprehensive Project - 1 [CE 401]

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    A big construction project will be considered and will be sub-divided into several components. Teams of students will act as separate ‘consulting agencies’ and will carry out complete planning, analysis, design and construction planning for these components. The teams will be required to merge their designs of individual components of the entire project towards the end and present a consolidated plan, design and construction plan of the entire project.

    CE 401

    Geotechnical Engineering

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    2 | 1 | 2 | 4

    Course Content

    Geotechnical Engineering [CE 402]

    Credit
    L | T | P | C
    2 | 1 | 2 | 4

    Geotechnical investigations, reconnaissance and investigation plan, drilling, sampling, field-tests, groundwater level, laboratory tests, etc.; Stress-strain-strength behavior of soils, Triaxial tests – UU, CU and CD tests, stress paths, Skempton’s pore-pressure parameters, sample disturbance; Stability of slopes, limit equilibrium methods, ordinary methods of slices and simplified Bishop method, factors of safety; Seepage and stability of earth embankments, Types of foundations - shallow/deep, isolated, combined, mat, etc., contact pressure distributions, soil - foundation interactions, basics of structural design; Design of shallow foundation, bearing capacity, stress distribution in soils, total and differential settlement, plate- load test, structural forces and design; Retaining structures, gravity, cantilever, counterfort, reinforced earth, etc., design and checks for stability; Design of deep foundations, piles, pile groups, well foundations, shaft and base resistances, downdrag, pile load tests; Special topics – Geosynthetics, reinforced earth structures, ground improvement techniques, machine foundations.

    CE 402

    Construction Technology & Management

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Construction Technology & Management [CE 403]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Cost estimating and bidding: material estimates, labor and equipment costs, cost control, purchasing, tender bidding; Project scheduling: bar charts, PERT, CPM, network diagrams; Project management: quality assurance, crisis management, claims management, safety; Construction machinery and methods; Construction accounting and budgeting; Construction law: building codes, local laws, approvals, environmental impact; arbitration; Construction blueprint and plan reading, environmental considerations; Client relations; Introduction to use of project management software

    CE 403

    Transportation Engineering

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Transportation Engineering [CE 404]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Transportation systems: Transportation and its societal role, Economics of Transport development Infrastructure design: Vehicle characteristics, horizontal and vertical alignment ;Traffic operations: Stream characteristics, queuing theory, and traffic flow models; Pavement Construction Materials : Types of Airport and Highway Pavements, axle loads, aircraft loading, Subgrade- compaction, CBR, Resilient modulus, Aggregates-Types of aggregates and their properties, Binder- types of binders, Physical and chemical properties;. Viscoelastic properties of bitumen and bituminous mixtures, Types of bituminous mixtures and their design, Relevant IS and IRC codes; Concrete as Pavement Material, Geosynthetics , Stabilized soils,/aggregates, Fly ash and other bulk waste;Design of pavement structure: Stresses in rigid and flexible pavements, Design principles, Current IRC and AASHTO methods of highway pavement Design, Design of Rural Roads, Design of airport pavements - FAA and ICAO methods, Design of Pavements with Geosynthetics, Stabilized soils; Construction and maintenance of pavements: Construction Methods; Rehabilitation of Pavements; Overlay design; Pavement management Systems

    CE 404

    Advanced Geotechnical Engineering

    Credit
    L | T | P | C
    3 | 0 | 3 | 5

    Course Content

    Advanced Geotechnical Engineering [CE 601]

    Credit
    L | T | P | C
    3 | 0 | 3 | 5

    Soil Composition, Structure and Classification; Shear Strength of soils: Failure analysis, UC, DS and UU tests; Characterization of ground: Designing an Investigation plan, In-situ test such as SPT, DCPT, CPT, etc, Sampling techniques; Bearing capacity: Failure modes, Generalized equation, Codal provisions, General correlations and interpretations from in-situ tests. Compressibility behavior of soils: Compaction & Consolidation, Settlement of foundations: stress in soils, immediate, consolidation and creep settlements, methods based on in situ tests; Dynamic properties of soils, Geophysical investigation, general correlations; Special topics: Ground Improvement Techniques, Geosynthetics, Liquefaction, Expansive soils, Soft soils, Solid waste & Landfill.

    CE 601

    Analysis and Design of Foundation Systems

    Credit
    L | T | P | C
    3 | 0 | 3 | 5

    Course Content

    Analysis and Design of Foundation Systems [CE 602]

    Credit
    L | T | P | C
    3 | 0 | 3 | 5

    Stress-strain behavior of soils, CU and CD tests, p-q space, stress path; Constitutive models, Design of shallow foundations, Isolated and combined footings, Rafts; Design of deep foundations, piles, piled rafts, well foundations; Foundation optimization, Soil dynamics, Machine foundations. Geotechnical Investigation and design project: field and laboratory tests, interpretations, reporting, design parameters, analysis and design of foundation system.

    CE 602

    Constitutive Models in Soil Mechanics

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Constitutive Models in Soil Mechanics [CE 603]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Role of constitutive modeling; Importance of laboratory testing with relation to constitutive modeling; Elasticity: linear, quasilinear, anisotropic; Plasticity basics: yield criteria, flow rule, plastic potential, hardening/softening; Rate Independent Plasticity: Mohr-Coulomb, Non-linear failure criteria, Drucker-Prager, and cap models; Critical state soil mechanics: critical state concept, cam-clay models and simulation; Stress-dilatancy theory; Work hardening plasticity theory: formulation and implementation; Applications of elasto-plastic models; Special Topics: hypoelasticity-plasticity, disturbed state concept.

    CE 603

    Remote Sensing of Land and Water Resources

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Remote Sensing of Land and Water Resources [CE 605]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    An overview of remote sensing, Electromagnetic radiation principles, Remote sensing data collection, Geometric correction, Image enhancement, Image interpretation, Image classification, Band transformation, Thermal infrared remote sensing, Change detection, Feature extraction, Monitoring of land and water resources, Accuracy assessment, Remote sensing of soil, vegetation, water, and urban areas, Object oriented classification, and Spectral Indices.

    CE 605

    Advanced Structural Analysis

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Advanced Structural Analysis [CE 607]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Review of Elementary Structural Analysis, Static indeterminacy, Indeterminate system, Truss analysis, Energy Method, Slope-Deflection Method, Analysis of Portal Frames; Matrix Method of Structural Analysis, Structural analysis using stiffness matrix and flexibility matrix, and Direct stiffness method; Conceptual Transition from Direct Stiffness Method to Finite Element Method, Truss and frame elements, Shape functions, Properties of stiffness matrix, Discretization; Introduction to Nonlinear Analysis, Introduction of geometric and material nonlinearities, P-delta effect, Moment-Curvature relation, Moment- Rotation relation, P-M-M interaction; Special topics: Nonlinear Analysis of Structures, 2D Frame analysis with geometric nonlinearity, 2D Frame analysis with material nonlinearity, 2D Frame analysis with both geometric and material nonlinearities.

    CE 607

    Advanced Engineering Hydrology

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Advanced Engineering Hydrology [CE 611]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Hydroclimatology, water balance, understanding hydrologic change, statistical representation of hydrologic data, flood frequency analysis, understanding frequency of droughts, hydrologic design, hydrologic time series analysis, parametric and non-parametric trends, spectral analysis, wavelet analysis, uncertainty analysis, hydrologic modeling, and hydrologic forecasting

    CE 611

    Analysis and Design of Masonry Buildings

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Analysis and Design of Masonry Buildings [CE 613]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Masonry materials and components; general design considerations for masonry structures per Indian and international standards; design of masonry beams; design of masonry loadbearing walls for concentric and eccentric axial loads, including slenderness effects; seismic performance of masonry buildings; an overview of the seismic design provisions contained in Indian standards; seismic design of masonry shear walls for in-plane and out-of-plane seismic loading; seismic design of unreinforced, reinforced, and confined masonry buildings; seismic evaluation and retrofit of masonry buildings.

    CE 613

    Structural Design for Fire

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Structural Design for Fire [CE 615]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Review of performance-based design concepts, LRFD cold design of RCC and steel structures; codified models for fire, standard and natural fire; material behavior of steel and concrete constituents in fire; estimation of time-temperature curves for structural members in different fire and exposure/ventilation scenarios; design considerations for individual members exposed to fire: structural members in tension, compression, bending; provisions in Eurocodes and IS 456, 800, 1641, 1642 and 1643 to ensure fire safety; fire proofing materials used to enhance fire resistance of structural members; behavior of structural systems under fire; preventive/protective systems for structures.

    CE 615

    Structural Dynamics

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Structural Dynamics [CE 622]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Single Degree Freedom System (equation of motion; free and force vibrations; seismic excitation; time history analysis; response spectrum; approximate methods), Multiple Degrees Freedom System (eigenvalue problem; shear buildings; mode superposition method; modal combination rules; time history analysis), One story system (lateral-torsional coupling; non-orthogonal lateral coupling; directional combination rule) and introduction to continuum systems (flexural beam, its natural properties, response due to seismic excitation)

    CE 622

    River Engineering

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    River Engineering [CE 624]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Open channel flow; Computations in gradually varied flows and rapidly varied flows;Mathematical description of flow and sediment transport;1-D/2-D/3-D computations in river flows; Dam break flow on rigid and mobile beds; Meandering of rivers; River training works including flood protection due to river overflow,levee, river bed lining,bridge pier protection due to river water flow;Design of bridges, dams, spillways; Irrigation control structures; Indian standards related to river engineering; Flow measurements in rivers; Physical modeling of river flows;Protection of river water from pollution;Introduction to various Indian agencies (CWC, NIH, CWPRS etc.); Field trip to a river;Project work .

    CE 624

    Advanced Hydraulic Engineering

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Advanced Hydraulic Engineering [CE 625]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Open Channel Flow: Uniform flow, Critical flow, Gradually varied flow (GVF), Computations in GVF, Sediment transport, Design of canals, Hydraulic jump, Flow past sharp- and broad-crested weirs, Design of spillways, Flood routing, Dam-break flow, Hydraulic design of bridges
    Pipe Flow: Head losses in pipes, Pipe network analysis, Transients in pipes, Detection of leak and partial blockage
    Flow measurements and laboratory scale modeling

    CE 625

    Earthquake Engineering

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Earthquake Engineering [CE 626]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Earthquakes: structure of earth, movement of plates, types of faults, P wave, S wave, surface waves, characterization of earthquakes and earthquake-induced ground motion; response spectra for individual ground motion records, site-specific response spectra, design spectra; single-degree-of-freedom systems; multi-degree-of-freedom systems; analysis, design and detailing of RC frames based on state-of-the-art and various codes IS 456, IS 1893 & IS 13920; Special topics: selection and scaling of ground motions, characterization of seismic hazard, seismic analysis and design of bridges, retaining walls, liquid-storage tanks, dams etc., design of non-structural components, passive structural control

    CE 626

    Slopes and Retaining Structures

    Credit
    L | T | P | C
    3 | 0 | 0 | 2

    Course Content

    Slopes and Retaining Structures [CE 627]

    Credit
    L | T | P | C
    3 | 0 | 0 | 2

    Stability of slopes, stability analysis, seismic analysis, probabilistic analysis, design of earth embankments and dams; Earth pressure theories; Earth retaining structures: rigid and flexible, Braced excavation; Reinforced earth structures; Buried structures, Case studies.

    CE 627

    Applied Hydraulic Transients

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Applied Hydraulic Transients [CE 628]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Transients in pipe flows: Causes of transients; Governing equations; Method of characteristics, Transients caused by centrifugal pumps, Hydraulic transients in long oil pipelines, Resonance in pressurized piping system, Methods to control transients, surge tanks. Transients in open channel flows: Causes of transients, Governing equations, Method of characteristics, Explicit and Implicit Finite Difference methods, Sediment routing, Coordinate transformation and two-Dimensional flow simulations, VOF method for surface tracking.

    CE 628

    Geosynthetics

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Geosynthetics [CE 629]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Historical background, Types, Manufacturing Methods, Functions, Typical Applications; Geosynthetic Testing, Physical, Mechanical, Construction survivability and durability testing of Geotextiles and Geogrids; Principles of Soil Reinforcement, Types of Reinforcement, Testing, Allowable loads for design (creep etc.), Elements of Design + NCMA Method, Fill Material, Detailed Design of Reinforced Soil Walls (BS 8006), Reinforced Slopes (BS 8006), Facia and Construction Methodology, Specifications, Bearing capacity Improvement, Embankments on soft soils, Basal Reinforcement – Design, Geocell – Design, Construction and Specification, IRC/MORTH Guidelines, Case Histories; Filteration and Drainage, Principles, Typical applications, Dams, French Drains, Testing, Design Principles, Specifications; Pavements and Airports; Influence of cyclic loading, Design for soft soils (unpaved) and new construction – Granular layers, GS in Bituminous Pavements – new construction and rehabilitation, Construction and specifications, Rural Road applications, Railway Tracks, Indian experiences; Natural fibre Materials, Jute and Coir Geotextiles - Products, Processes; Environmental Control, Erosion Control, Mechanics of Erosion, Methods of Control, Products, Design for various conditions, Silt Control, Land slides – Occurrence and methods of mitigation, Liners for Pounds and Canals; Engineered Landfills, Municipal Solid Waste, Hazardous Waste Landfills, Site location –MOEF Guidelines, Covers and liners, GCLs, Material aspects and, Design, construction and maintenance, the Indian Scenario

    CE 629

    Irrigation Engineering and Hydraulic Structures

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Irrigation Engineering and Hydraulic Structures [CE 631]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Water requirement of crops, Duty, Delta, Canal irrigation, Tank irrigation, Sprinkler irrigation, Drip irrigation, Canal flow analysis; Ground water flow equations, Well hydraulics, Well irrigation;Design of canals and canal head works, Design of sluice gates, River training works, Structures for silt control, Gravity dams, Earthen dams, Spillway.

    CE 631

    Advanced Concrete Design

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Advanced Concrete Design [CE 632]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Review of Design Philosophy: Characteristic load and strength, WSM / ULM / LRFD / LSM, Limit States: ULS / SLS, Probabilistic framework; Essential Structural Components: Estimation of wind and earthquake load; Design of beam and column; Design of beam-column-joint with ductile detailing; Design of Shear wall--Solid with boundary elements--Degree of coupling--Shear lag-- Flanged and Shear wall core; Strut-and-Tie Model based Design: Conceptual design; Application to the design of--Deep Beam--Shear Wall--Corbel--Beam- column joint--Secondary beam and beam-to-beam connection--Diaphragm-to- beam connection and flanged action; Yield Line Theory in Regular Slab; Design of Flat plate and Flat Slab; Design of Foundation Systems: Isolated and Strip; Combined and Raft; Pile; Overall Structural Design (One of the three modules in a project based mode)— Module-1: Design of Liquid Retaining Structures--Water tank at ground--Elevated water tank with staging-- -Module-2: Design of Mid-to-High rise Buildings---Understanding through different structural configurations--Shear wall core--Tube system and Tube-in- Tube system---Module-3: Design of Bridges---Highway or Railway---Loading, load combination and different limit states--Bridge deck---Piers--- Foundation—pre-stressed concrete bridges. It is proposed to cover one module in special topics depending on the instructor.

    CE 632

    Water Resource Systems: Planning and Management

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Water Resource Systems: Planning and Management [CE 633]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    1. Introduction and Water Resource System modeling: System Components, Planning and Management, modeling of water resource systems, Supply and Demand Curves. 2. Introduction to optimization for water resource systems: Modeling Constraints in water resource planning and management, Linear Programming Solution Strategies: Graphical and simplex methods, Dynamic Programming and stochastic programming for Reservoir Operation Problem, using Python for Water Resource Management: Introduction to GEKKO and Scipy. 3. Applications in Water Resource Management: Reservoir operation and sizing, capacity expansion, multipurpose reservoir operation, Discounting, Risk aversion techniques in WRS. 4. Network modeling for Water Resource systems: River network optimization, modeling water distribution networks. 5. River basin planning and floodplain management: Screening models, Floodplain management, Urban storm water management, Integrated Water resource management frameworks, resilient design: best practices and opportunities.

    CE 633

    Air Pollution Control Engineering

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Air Pollution Control Engineering [CE 634]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Overview of air pollution: Types of air pollutants (classified into two categories): (1) Particulate matter (PM) and (2) gaseous pollutants (volatile organic compounds, sulfur oxides, nitrogen oxides, ozone, CO2); common sources; health and environmental impacts of air pollutants; the global and national context of air pollution: evolution of policies and regulations and the current status

    Particulate Matter (PM): Particle size distribution and size-dependent transport properties such as settling, impaction, interception, and diffusion/Brownian motion; cyclones and impactors: operating principle, design, and sizing; electrostatic precipitator (ESP): operating principle, drift velocity, collection efficiency, and design and sizing of ESPs (including area, number of plates, and sections); fabric filters: operating principle, surface velocity, collection efficiency, and its temporal variation; baghouse filters: types of baghouse filters, design, and sizing, including size and number of bags and operating schedule; face mask and introduction to airborne transmission of coronavirus (an example of bio-particulate matter); scrubbers: operating principle and design; applications of the same principles for COVID and other airborne disease mitigation

    Sulfur oxides and nitrogen oxides: Elementary oxidation-reduction chemistry; fuel desulfurizations; limestone scrubbing; thermal and fuel NOx; combustion modification as a control strategy for NOx

    Volatile organic compounds (VOCs): Review of fundamentals of vapor pressure, multi-phase equilibrium, and diffusivity; oxidation chemistry and kinetics of VOC incineration; design and sizing of thermal oxidizers; VOC prevention (substitution, process modification, and leakage control or fugitive emissions); VOC capture via adsorption: physical and chemical adsorption and isotherms; fixed-bed adsorption system: design and sizing and breakthrough curves (operating schedule); VOC capture via absorption: design and sizing of absorption tower

    CO2 and ozone (O3): Global warming effects of CO2; CO2 capture technologies; Overview of CO2 sequestration; atmospheric chemistry of ozone and interplay with other pollutants; photochemical smog

    Air pollution and meteorology: Wind circulations; lapse rates and inversions; atmospheric dispersion modeling; Gaussian plume model (downwind concentration and ground-level concentration from a point source emissions); plume rise and stack height determination

    Other topics to be covered: Mercury control; mobile sources (motor vehicles): IC engine and diesel engine operation, air-fuel ration, formation of pollutants, catalytic converter; indoor air quality: differences from outdoor air, sources, material balance

    CE 634

    Computation and Cognition

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Computation and Cognition [CG 501]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Mechanistic/algorithmic approaches and issues addressed by these approaches: parallel versus serial processing, flow of information, timing effects. Rational/probabilistic approaches and issues addressed by these approaches: adaptation to the environment, behaviour under uncertainty, learning, timing effects. General issues: top-down versus bottom-up processing, online processing, integration of multiple sources of information. Methodology and issues in the development and evaluation of cognitive models: Which psychological data are relevant? What predictions are made by a model? How could these be tested? Modelling techniques: in the assignments, students will experiment with both symbolic (rule based) and subsymbolic (probabilistic) cognitive models. Connectionist models | Bayesian models |Dynamic system models |Logic/symbol-based models | Classical cognitive architectures/production models | Unified Theories of Cognition, Cognitive Architectures and Frameworks. COGENT as a modelling framework SOAR and ACT-R as cognitive architectures | Models of specific cognitive functions

    CG 501

    Foundations of Cognitive Science

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Foundations of Cognitive Science [CG 502]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    The course aims to give an overview of different component disciplines of cognitive science and how they come together to study brain and cognition. The topics will include: Philosophy: Theories of mind (Indian & Western), Consciousness, Ontological and epistemological approaches to Mind Artificial Intelligence: cybernetics, Information theories, Turing machine, knowledge representation, neural networks Linguistics: Ancient India, structuralism, formalism, generative grammar, Chomsky’s arguments against behaviorism, syntax and semantics Anthropology: Evolutionary and alternative theories, diffusion, functional school, culture and language, personality research, structural, symbolic anthropology Psychology: associationism, psychophysics, psychometrics, cognitivism, metacognition, constructivism, evolutionary psychology Neuroscience: neuron, reflex arc, brain structure and function, disorders (deficit), stimulation, Hebbian theory, experimental methods (electrophysiology, imaging), language & lateralization

    CG 502

    Fundamentals of Cognitive Psychology

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Fundamentals of Cognitive Psychology [CG 503]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    basic processes in vision; object and face recognition; attention and performance; learning; memory and forgetting; reading and speech perception; language comprehension and production; judgment and decision making & cognition and emotion

    CG 503

    Research Methods in Cognitive Science

    Credit
    L | T | P | C
    2 | 0 | 2 | 4

    Course Content

    Research Methods in Cognitive Science [CG 504]

    Credit
    L | T | P | C
    2 | 0 | 2 | 4

    Research methods: Null Hypothesis formulation & testing, dependent & independent variables, qualitative, quantitative and categorical data, measurement scales, descriptive and inferential statistics (measures of central tendency, significance testing, ANOVA, repeated measures, posthoc testing, correlations, chi-square tests); Experimental design:single subject, between- group and within-group designs, randomization, factorial, parametric, subtractive, conjunction type designs; Research Tools: Review of basic mathematics, experimental psychology software (psychtoolbox, eprimeetc), Statistics using PSPP/Matlab/R; Research ethics and scientific writing with reference to APA guidelines.

    CG 504

    Fundamental Neuroscience

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Fundamental Neuroscience [CG 505]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Foundational principles of neuroscience Cellular basis of nervous system function Neural circuits and systems Sensory systems The structure and function of the motor system Cognitive neuroscience and higher order brain function Attention, language, memory and executive functions Neuroanatomy and damage to the nervous system.

    CG 505

    Experimental Techniques in Cognitive Science

    Credit
    L | T | P | C
    2 | 0 | 2 | 4

    Course Content

    Experimental Techniques in Cognitive Science [CG 506]

    Credit
    L | T | P | C
    2 | 0 | 2 | 4

    Introduction to experimental design – Hypothesis; Independent and dependent variables; principles of Reaction Time studies. Applying statistical techniques – lab based module primarily intended to create a practical awareness of statistical testing. This will include many example data datasets and deciding what an effective test is and how to do it. Data interpretation – what does significant statistical results mean. How does these numbers inform about mental processes. Writing – Including effective writing techniques; how to report statistics. Hands on experience in different behavioural and imaging methodology including eyetracking, EEG etc.

    CG 506

    Evolutionary Neuropsychology

    Credit
    L | T | P | C
    3 | 0 | 0 | 2

    Course Content

    Evolutionary Neuropsychology [CG 507]

    Credit
    L | T | P | C
    3 | 0 | 0 | 2

    Paleoneuropsychology is the study the evolution of the structures and functions of the human brain. It is an emerging multidisciplinary science that spans the fields of anthropology, archaeology, cognitive neuroscience, and psychology. This course is designed as introduction to the specific structures and functions of the human brain with particular attention to empirical brain research advances since 2000. It is also designed as an introduction to the evolution of the human brain (size, shape, neurons, chemical neurotransmitters, etc.) and the evolution of human cognitive processes such as memory, language, dreaming, and creativity.

    CG 507

    Behavioral Economics

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Behavioral Economics [CG 513]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction: Historical development of the field, interdisciplinary perspectives linking psychology, economics and neuroscience, Overview of the field with real life examples. Modes of thought, Heuristics and biases: Modes of thought (intuitive and deliberative), heuristics (anchoring and availability, representativeness), Biases (Framing effects, mental accounting), taming intuitive heuristics, self-regulation in the brain, The positive side of heuristic decision making. Choice under certainty - concept of preference in rational choice theory, revealed preference, decision making under certainty. Choice under uncertainty – The concept of value and utility under uncertainty, psychological weighting of probabilities, deciding about prospects, gains and losses, Neural representations of subjective value and choices in the brain. Thinking over time - Discounted utility, hyperbolic discounting, affective forecasting biases, retrospective experiential biases for value computation. Applying behavioral economics - Marketing examples from prospect theory, choice architecture, Real examples of nudges for better health, wealth and happiness.

    CG 513

    Consumer decision making

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Consumer decision making [CG 514]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Preliminaries: Introduction to consumer behavior, attention and perception, memory, motivations, valuation, self-conceptualization, framework of consumer decision making; Product search: Information search and sampling, processing limitations and overload, decision strategies and heuristics, contingent decision making and selection, influence of brands; Price perception: Conception of price as a stimulus, reference prices and thresholds, theories of price perception, processing price frames, judgments based on price, influence of price changes; Consumers through the lens of the econometric method: Introduction to rational choice framework, preferences, demand curves and decisions, applications of rational choice and demand; Consumers through the lens of marketing research: Introduction to marketing research, measuring pre and post purchase behavior, pricing strategies, sample insights and case studies.

    CG 514

    Motor Learning and Memory

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Motor Learning and Memory [CG 601]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Motor systems in the brain – motor and premotor cortices, parietal and frontal cortices, basal ganglia and cerebellum; Approaches to studying motor learning – defining and measuring motor learning, designing experiments on learning, alternative methods for measuring learning, issues about “amount” of learning, understanding differences between learning and changes in performance; Learning of motor sequences – implicit versus explicit learning, chunking, role of sleep, neural basis, disruption in different brain disorders; Adaptation learning – adaptation to novel dynamical and visual perturbations, sensory signals responsible for adaptation, generalization and transfer of learning, elementary computational models, neural basis; Learning under unstable and unpredictable conditions – motor noise, impedance control, feedforward and feedback components of impedance control; Motor skill learning – use dependent learning, “model-free” reinforcement learning, neural basis; Vocal learning in songbirds – role of variability and use of exploration, critical period, neural circuits, application to human speech learning; Application to neurorehabilitation and robotics – motor learning principles in rehab, robot-assisted rehab, error augmentation strategies, model of motor recovery after stroke, concurrent force and impedance adaptation in robots, robotic implementation.

    CG 601

    Classics in Brain Science

    Credit
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    3 | 0 | 0 | 2

    Course Content

    Classics in Brain Science [CG 602]

    Credit
    L | T | P | C
    3 | 0 | 0 | 2

    Half semester course examining, at an advanced level, classic research that has shaped current understanding of brain function. Following topics will be covered: 1. Generation and transmission of neuronal signals ( 2. Intercellular communication 3. Vision 4. Proprioception (Processing of somatosensory information and organization of somatosensory cortex. Classic experiments by Vallbo, Matthews and Willis) 5. Spinal Reflexes (Classic experiments on reflex circuit organization by Sherrington, which won him the Nobel prize; work by Matthews, Eccles and Lundberg on reflex physiology). 6. Control of voluntary movement (organization of motor cortex, descending projections from motor cortical areas, movement planning and control all examined via studies of Evarts, Georgopoulos, Strick and Kalaska) 7. Learning and Memory (Cortical basis of learning and memory, two learning/memory systems, retention and recall of memories as explained by the definitive work of Squire, Poldrack and Nobel prize winner Kandel) Modern techniques used in research in the above areas will be introduced alongside the discussion on each topic.

    CG 602

    Perception and Attention

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Perception and Attention [CG 603]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Information processing view and ecological approach to perception; The visual anatomy and physiology; Psychophysical methods; Perception of color, motion and depth; Theories of attention – FIT, CODE, TVA etc; Mechanisms of selection; locus of control; Inhibitory processes in selection etc; Experimental paradigms (cueing, visual search, and phenomena like in attentional blindness and attentional blink)

    CG 603

    Phenomenology, Embodiment, and Consciousness

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Phenomenology, Embodiment, and Consciousness [CG 604]

    Credit
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    3 | 0 | 0 | 4

    This course introduces Phenomenology, the various forms that it takes (Transcendental, Genitive, Existential, Feminist, Post-, Neuro), its emphasis on description (particularly first- person experience), and the role of the body in consciousness. Phenomenology as a method is oriented around what is called the ‘époché’ or bracketing (phenomenological reduction), wherein the subjective concerns of an individual are placed ‘in brackets’ in order to move toward an accurate description of the things themselves. We will discuss whether or not such a bracketing is possible, the role of Phenomenology in description and pay particularly close attention to concepts such as sedimentation, constitution, institution, intentionality, incorporation, extension, habit, bodily motility, spatiality, intersubjectivity, and body/mind dualism as they are presented through the work of founding figure of Phenomenology, Edmund Husserl, the Existential Phenomenology variation and focus on the body disclosed in the work of Maurice Merleau-Ponty, and the potential for intertwining Phenomenology and Cognitive Science in the more recent disclosure of Neurophenomenology.

    CG 604

    Learning and Memory

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Learning and Memory [CG 605]

    Credit
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    3 | 0 | 0 | 4

    Psychological theories of learning, behavioral and cognitive approach to learning. Classical conditioning, reinforcement learning and Motor learning. Types of Associations, Biological constraints on classical conditioning. Procedures of shaping behavior, Role of reinforcer. Theories of memory, Storage, Encoding and retrieval, Types of Memory, techniques of testing memory. Localization of memory, Mechanisms of Memory, memory disorders Neurobiology of learning and memory, functional network of brain areas involved in learning and memory

    CG 605

    Philosophy of Mind

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Philosophy of Mind [CG 606]

    Credit
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    3 | 0 | 0 | 4

    Cognitive Science and philosophy of mind: Epistemic and metaphysical issues of mind in Cognitive science Western theories of mind: Dualism, behaviorism, materialism, eliminativism functionalism, physicalism, phenomenology, representational theory of mind, modularity of mind and identity theory Neurobiological approaches to mind: Patricia Churchland arguments, the binding problem, the problem of Mary's Knowledge, Connectionism Computational approaches to mind: Searle's Chinese room argument, intentionality, the problem of intelligence and the representational nature of mind Indian theories of mind: Heterodox: Jainism and Buddhism; Orthodox: Samkhya, Nyaya and Vedanata

    CG 606

    Emotion and Cognition

    Credit
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    3 | 0 | 1 | 4

    Course Content

    Emotion and Cognition [CG 607]

    Credit
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    3 | 0 | 1 | 4

    Historically, cognition and emotion were considered two independent processes that did not interact much with each other. Moreover, the study of emotions was considered subjective and therefore unscientific in a scientific world dominated by behaviourism. However, recent developments in cognitive neuro-sciences have enabled the study of emotions in a scientific manner and have increasingly shown evidence to its interconnectedness to cognition. What are the implications of such inter-connectedness? How do our feelings affect our thoughts, memory, decision making etc. and vice-versa? Topics will include: nature and measurement of emotions, categorical and dimensional approaches to affect, Affect cognition relations in specific cognitive processes like perception, attention, memory and judgement.

    CG 607

    Neuroscience of Decision making

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Neuroscience of Decision making [CG 608]

    Credit
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    3 | 0 | 0 | 4

    Anatomy and connectivity of reward circuit, neurophysiological studies in animals, dopamine and reinforcement learning, Neural basis of perceptual decision making, reinforcement learning in the brain; Human Brain imaging studies of decision making, Value based decision making, contextual influences, model-based analysis; Neural bases of inter- temporal choice, Emotional modulation in decision making ; Brain imaging studies of Game theory and social decision making

    CG 608

    Neuroscience and Cognitive Neuroscience

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Neuroscience and Cognitive Neuroscience [CG 611]

    Credit
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    3 | 0 | 0 | 4

    Peripheral and central nervous system, neurons, action potential, synapses, synaptic transmission, neurotransmitters, brain structure, sulci, gyri, lobes, somatosensory homunculus, motor pathways, autonomous nervous system, hypothalamus, slee; Cognitive functions of the brain, experimental techniques (electrophysiology, ERP, imaging, lesion, TMS), Cognitive Neuroscience of Vision, Attention, Action, Memory, Speech and Language, Executive functions, Emotions

    CG 611

    Neural Plasticity

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    3 | 0 | 0 | 4

    Course Content

    Neural Plasticity [CG 612]

    Credit
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    3 | 0 | 0 | 4

    The emergence of plasticity: experience-dependent plasticity in cats (monocular deprivation), Hubel & Weisel’s experiments, the concept of ‘critical period’, developmental plasticity and correlation with cognitive development

    Adult plasticity: plasticity following peripheral deafferentation in adults, Merzenich & Kaas’ experiments, limits and phases of adult plasticity, phantom limb phenomenon, peripheral vs CNS plasticity (stroke), motor plasticity and performance - expertise and time course of plasticity.

    Cross-modal plasticity: somatosensory plasticity following blindness, Molyneux question, plasticity in the newly sighted, visual cortex of deaf, rewiring of cortex in animal models (Pallas and Sur experiments)

    Neural mechanisms of plasticity: axonal sprouting, dendritic spine dynamics, synaptic plasticity ( LTD, LTP), Hebbian and homeostatic plasticity, the molecular and genetic basis of plasticity mechanisms

    Plasticity for cognitive enhancement: mechanisms for reintroducing critical period plasticity in animals, FastForWord - Merzenich and Paula Talal, brain training apps, stereopsis training for adult plasticity

    CG 612

    General Chemistry

    Credit
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    3 | 0 | 0 | 4

    Course Content

    General Chemistry [CH 201]

    Credit
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    3 | 0 | 0 | 4

    Coordination Chemistry: Werner’s work, EAN Rule, V. B. Theory, Crystal field theory, Ligand Field Theory, Jahn–Teller distortion, Square planar and Tetrahedral complexes, Chelates, Nomenclature and Isomerism of coordination compounds. Structure and bonding in rare gas compounds; HSAB theory; Chemical and biological buffers. Bioinorganic chemistry: Occurrence and availability & biological functions of inorganic elements in organisms, Uptake, transport and storage of Oxygen, Hemoglobin and Myoglobin, Photodynamic therapy. Organic Chemistry and Stereochemistry: Resonance and Inductive effects; Aromaticity and Huckel’s rule; Optical activity, Polarimeter, Chirality, Enantiomerism, Configuration, R-S Nomenclature, Reactions of stereoisomers, Resolution, Conformations of Alkanes and cycloalkanes, Introduction to UV-visible and IR spectroscopy and their applications.

    CH 201

    Chemistry Laboratory

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    0 | 0 | 4 | 2

    Course Content

    Chemistry Laboratory [CH 202]

    Credit
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    0 | 0 | 4 | 2

    A mix set of experiments are taken from all three branches of chemistry (i.e. physical, inorganic and organic). The laboratory course will incorporate the experiments illustrating the basic principles of complexometry titrations, conductometry, chemical kinetics, colorimetry, polarimetry, thin layer chromatography, green synthesis, oscillatory reactions, simple salt- mixture analysis, UV-visible and IR spectroscopy.

    CH 202

    Forensic Chemistry

    Credit
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    3 | 0 | 0 | 2

    Course Content

    Forensic Chemistry [CH 301]

    Credit
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    3 | 0 | 0 | 2

    Chemicals underlying evidence; chemistry of controlled substances; methods of extraction, purification and sample purification for further analysis; methods for detection and identification of trace substances; basis of analytical assays; DNA based and biomolecular forensics; statistical treatment of forensic evidence; legal norms for chemical forensic evidence; ethics of biological forensic analysis.

    CH 301

    Electrochemical Science & Engineering

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Electrochemical Science & Engineering [CH 302]

    Credit
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    3 | 0 | 0 | 4

    1. Introduction to Basic principles- Electrochemical cells, characteristics of electrochemical equations, Faraday’s law and efficiency, potentials and ohm’s law. 2. Cell potential and thermodynamics: Electrochemical reactions, Standard potentials, activity correction, equilibrium electrochemistry, Pourbaix diagram, liquid junction potential. 3. Electrochemical kinetics: Double layer capacitance, use of Butler-Volmer (BV) kinetic expression and its simplified forms, Fitting of BV, Ion transport in electrochemical systems. 3. Electrode structure and configuration: Ideally polarized electrode, Micro electrodes, porous electrodes, gas liquid interface in porous electrodes. 4. Electrochemical techniques: cyclic voltammetry, static techniques, electrodeposition. 5. Battery fundamentals: Battery science fundamentals, cell chemistry, various types of batteries and their chemistry, Materials aspect in the battery. 6. Corrosion: Fundamentals and thermodynamics of corrosion, types of corrosion, corrosion protections 7. In class demonstration: Analytical techniques, double layer charging, capacitor charging and discharging cycle etc.

    CH 302

    Food Chemistry

    Credit
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    3 | 1 | 0 | 4

    Course Content

    Food Chemistry [CH 401]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    1. Description of Core Constituents of Foods: Understanding of biomolecular composition of raw fruits, vegetables and meats. Alteration in chemical constituents during standard food preparation (cooking/processing) approaches. Changes in bonding, composition and activity of water during food preparation.
    2. Food Flavor, Color and Aroma: Molecular basis of flavor, aroma and color of foods; changes during standard food processing methods.
    3. Biochemical transformations underlying food processing; implications on flavor, color and aroma. Production of food products with corresponding enzymes such as: high-fructose corn syrup (a-amylase, glucose isomerase), Cheese and dairy products (chymosin, b-galactosidase), Bread making/baking (groups of enzymes), Malt brewing (a-amylase, protease), fruit juices (pectic enzyme). Immobilized enzymes for analytical processes, starch to fructose conversion. Pasteurization of milk.
    4. Additives, Contaminants and Adulterants: Molecular basis of additional ingredients that are intentional, incidental and/or hazardous additives. Introduction to chemical basis of preservative action. Established chemical measures of food safety.
    5. Analytical Methods and Approaches: for study of composition, color, texture, flavor and aroma. Detection and quantification of hazardous substances. Introduction to global regulatory framework of food safety. Detection of chemical adulterants and detect antibiotic residues in foods (IR spectrometer), Colorimetric detection of pesticides and food additives (UV-vis spectrometer), pesticide residue and veterinary drugs in foods (LC-Mass analysis).
    6. Hands-on Experiments: Adulteration in edible oil, added food colors/dyes and sugars in the food items and soft drinks can be tested /detected by simple demonstration based experiments. Students would be able to test the samples of food items/soft drink by simple instruments such as: polarimeter, chromameter and UV-visible spectrometer. The details are provided in Annexure II.

    CH 401

    Fundamentals of analytical chemistry

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Fundamentals of analytical chemistry [CH 503]

    Credit
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    3 | 0 | 0 | 4

    Tools of Analytical Chemistry; Chemicals, Apparatus, and Unit Operations of Analytical Chemistry; Using Spreadsheets & Calculations Used in Analytical Chemistry; Errors in Chemical Analyses, Statistical Data Treatment and Evaluation, Sampling, Standardization, and Calibration; Chemical Equilibria, Aqueous Solutions and Chemical Equilibria. Effect of Electrolytes on Chemical Equilibria, Classical Methods of Analysis, Gravimetry, Titrimetry, Neutralization, Complexation; Electrochemical Methods, Oxidation-Reduction Titrations, Potentiometry, Electrogravimetry and Coulometry, Voltammetry; Spectrochemical Methods, Optical Spectrometry, Molecular Absorption Spectrometry, Molecular Fluorescence Spectroscopy, Atomic Spectroscopy; Kinetics and Separations, Kinetic Methods of Analysis, Introduction to Analytical Separations, Gas Chromatography, HPLC; Practical Aspects of Chemical Analysis

    CH 503

    Physical Organic Chemistry

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Physical Organic Chemistry [CH 506]

    Credit
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    3 | 0 | 0 | 4

    Structure and Bonding, Dipole moment, polarisability, Hyperconjugation; Tautomerism, Aromaticity in benzene and nonbenzenoid compounds; Acidity and Basicity,Bronsted/Lewis acids and bases, hard/soft acids and bases, nucleophilicity and basicity; pKa of organic compounds, structural effects of acidity and basicity; Addition, Substitution and Elimination Reactions,Nucleophilic addition to the carbonyl group, electrophilic and radical addition to alkenes, electrophilic and nucleophilic aromatic substitutions, S N 1 , S N 2 and S N i reactions, eliminations E1, E2 and E1cB reactions; Reactive Intermediates,Introduction to structure, formation, stability and reactions of carbocations, carbanaions, free radicals, radical anions, radical cations, arynes, carbenes and nitrenes,methods to determine the reaction intermediates; effect of structure on reactivity; Protecting groups, Introduction to the importance of protecting groups in organic synthesis.

    CH 506

    Organometallic and Bioinorganic Chemistry

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Organometallic and Bioinorganic Chemistry [CH 508]

    Credit
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    3 | 0 | 0 | 4

    This course is an introduction to the structure, bonding, and reactivity of organotransition metal compounds. Broadly the topics will include Electron counting, The 8/18-electron "rule" and its exceptions; Main-group metal chemistry, electropositive elements; Main- group metal chemistry, less electropositive elements (mainly silicon); Physical Methods in Organometallic Chemistry, NMR, IR and crystallography; Transition-metal organometallic chemistry; Ligand substitution and activation; Insertion and elimination reactions, including olefin polymerization and s-bond metathesis; Oxidative addition and reductive elimination; Olefin metathesis; Bioorganometallic Chemistry

    CH 508

    Main Group and Transition Metal Chemistry

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Main Group and Transition Metal Chemistry [CH 510]

    Credit
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    3 | 0 | 0 | 4

    This course gives introduction to inorganic chemistry with a focus on Periodic trends, oxidation states, atomic & ionic radii, electron affinity, ionization energy, electronegativity; Oxidation-reduction chemistry; Ionic Solids; Symmetry; Molecular orbital theory; Coordination chemistry and crystal field theory; X-ray crystallography and structure determination; Main group chemistry; Nanomaterials, nanoscience, and nanotechnology; Biological inorganic chemistry

    CH 510

    Quantum Chemistry

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Quantum Chemistry [CH 511]

    Credit
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    3 | 0 | 0 | 4

    Review of mathematical methods. Vectors, matrices, determinants, eigenvalues and ordinary differential equations; Solution of the Schrodinger equation for exactly solvable problems like particle in a box, particle in a ring, harmonic oscillator, one dimensional potential step and wells. Angular momentum; Hydrogen atom; Variation Method and Perturbation Theory; Valence bond and molecular orbital theories; Hückel approximation

    CH 511

    Reactions and Mechanisms in Organic Chemistry

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Reactions and Mechanisms in Organic Chemistry [CH 512]

    Credit
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    3 | 0 | 0 | 4

    Substitution, Elimination and Addition Reactions: Nucleophilic aliphatic substitutions, Elimination reactions, Structural and solvation effect on reactivity, and Electrophilic, nucleophilic and free radical addition reactions. Electrophilic, nucleophilic, and Transition metal-catalyzed aromatic substitution reactions, and Aromatic radical substitution. Oxidation and Reduction: oxidation of alcohols, ketones and aldehydes (transition metal oxidants, peroxides and peracids etc.), allylic oxidation, oxidation of C-C double bonds (epoxides formation, ozone, KMnO 4 , OsO 4 etc.). Catalytic hydrogenation of functional groups, Group III hydride donor reagents (LAH, NABH4, DIBALH, B2H6), Groupd IV hydride donors (Silicon hydride and hydride transfer from Carbon). Functional Group Interconversion: Conversion of alcohols to alkylating agents, installation and removal of common protecting groups, Interconversion of carboxylic acid groups. Stereochemistry: Stereoisomers, Optical isomerism and Chirality, Resolution, Stereoselective/Setreospecific/Enantionselective reactions.

    CH 512

    Advance Organic Chemistry

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Advance Organic Chemistry [CH 513]

    Credit
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    3 | 0 | 0 | 4

    Rearrangement reactions: Electrophilic (Beckman, Hofmann, Lossen, Curtius, Wolff, Schimidt, Baeyer- Villiger, Pinacol-pinacolone, Wagner-Meerwein etc.), Nucleophilic (benzilic acid, Favorski), radical rearrangement (Wittig, aza-Wittig). Pericyclic reactions: Cycloaddition reactions, stereochemical aspect and applications of Diels-Alder reaction, 1,3-Dipolar cycloaddition reactions, [2+2] cycloaddition reactions, electrocyclic reactions, overview of sigmatropic reactions, [1,3]-, [1,5]-, [1,7]- Sigmatropic shifts of hydrogen and alkyl groups, Sigmatropic rearrangements (Cope, aza-Cope, Oxy-Cope, Claisen, aza-Claisen, Eschenmoser-Claisen, vinyl- cyclopropane-cyclopentene). Photochemistry: General principles, cis-trans-Isomerazation, photoisomerization of 1,3-butadiene, photochemistry of carbonyl compounds, photochemistry of aromatic compounds, cycloaddition reactions, photochemical reactions of 1,4-butdienes.

    CH 513

    Bioinorganic Chemistry

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Bioinorganic Chemistry [CH 517]

    Credit
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    3 | 0 | 0 | 4

    Biogeochemical cycles: Energy transduction between biotic and abiotic world (Emphasis on the carbon, hydrogen, and nitrogen cycles); Transport and storage of metals in biology: Transferrin and Ferritin will be discussed in details by using iron as a model system; Metals in medicine: Development and current usage of various metal based anti-cancer agents and MRI contrast agents; Hydrolytic chemistry by metalloenzymes: Role of acid-base chemistry in biology. Examples of Carbonic anhydrase, Urease, and Acotinase will be discussed in details; Electron transport in biology: The basic concepts of electron transport through proteins. Roles of [Fe-S] clusters and Copper cofactors. Fundamentals of Photosynthesis, and Respiration; Detailed study of complex metalloenzymes: [NiFe]- and [FeFe]-Hydrogenase, and Nitrogenase.

    CH 517

    Statistical Thermodynamics and its Applications in Chemistry

    Credit
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    3 | 0 | 0 | 2

    Course Content

    Statistical Thermodynamics and its Applications in Chemistry [CH 519]

    Credit
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    3 | 0 | 0 | 2

    Concept of ensembles, Canonical ensemble, Boltzmann distribution, Thermodynamic quantities and canonical partition function. Grand canonical ensemble, Fermi-Dirac and Bose-Einstein distributions. Molecular partition functions, Translational, rotational and vibrational partition functions. Influence of degeneracy on the partition function: Application to atoms and molecules; Molecular symmetry and relationship with partition function. e.g. How to treat NH 3 vs SO 3; Ideal monoatomic and diatomic gases, Classical partition functions, thermodynamic properties, Entropy, Equipartition theorem; Chemical equilibrium. Relationship between equilibrium constant and partition function. Application to chemical reactions like formation of H 2 O; Real gases, intermolecular potential and virial coefficients. Debye and Einstein theory of heat capacity of solids. Structure and thermal properties of liquids, Pair correlation functions.

    CH 519

    Introduction to Molecular Modelling

    Credit
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    2 | 1 | 0 | 2

    Course Content

    Introduction to Molecular Modelling [CH 520]

    Credit
    L | T | P | C
    2 | 1 | 0 | 2

    Provides an introduction to molecular modelling. Course covers the following topics. Empirical force field models: Molecular mechanics; Molecular Dynamics simulation method; Energy minimization methods for exploring the energy surface; Density Functional Theory. The course will introduce students to bio-molecular simulation programs CHARMM and NAMD. The Gaussian 09 package will be introduced to perform DFT calculations. Tutorial sessions will be included into the curriculum. The course requires a project to be completed for credits.

    CH 520

    Advanced Chemistry Laboratory

    Credit
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    1 | 0 | 4 | 4

    Course Content

    Advanced Chemistry Laboratory [CH 521]

    Credit
    L | T | P | C
    1 | 0 | 4 | 4

    Column chromatography; Gas Chromatography (GC); High-performance liquid chromatography (HPLC); Ultraviolet and visible absorption spectroscopy; Infrared spectroscopy; Fluorescence and phosphorescence; Nuclear magnetic resonance spectroscopy (NMR); Mass Spectrometry; Cyclic Voltammetry (CV), Atomic Force Microscopy (AFM), Scanning electron microscopy (SEM), X-Ray Powder Diffraction Analysis (XRD).

    CH 521

    Inorganic Chemistry Laboratory

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    0 | 0 | 4 | 2

    Course Content

    Inorganic Chemistry Laboratory [CH 522]

    Credit
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    0 | 0 | 4 | 2

    The Inorganic Chemistry Lab will have the following list of experiments: Synthesis of transition metal complexes: Objective is to learn synthetic skills to prepare coordination complexes of 3d metals [e.g. Ni(II) and Co(II)] from their metal salts. The experiment will also demonstrate the use of few topics “spectrochemical series” and “chelate effect” covered in theory course. Polarimetry: Experiment involves breakdown of disaccharide sugar (sucrose) into its components (glucose and fructose) and kinetic study of this process with the help of Polarimeter instrument. Optical rotation of organic substances (sugars) can be measured and in-turn the rate constant. Gravimetric analysis: Purpose is to learn basic principles of Gravimetry, an analytical method used for the quantitative estimation of analytes (metal present in the solution) by treating it with the reagents to give sparingly soluble products which can be precipitated and weighed. Complexometric titration: Basic principles of titrimetric method will be demonstrated and hardness of water can be calculated by the solutions of of Zn(II), Mg(II) salts and titrating them with EDTA (ethylenediamine tetraaceticacid), a chelating reagent. Recycling of aluminium: This “Green experiment” is used to demonstrate, how aluminium foils can be recycled by converting it to potash alum in the chemical laboratory. Estimation of phosphoric acid: Phosphoric acid is used as acidifier in “Cola drinks” and its amount can be determined by interesting chemical method using molybdenum complex and “Absorption spectrophotometer”. Back Titration: Direct titration of the aluminium ions in the solution is challenging, due to the slow formation of the metal complex with the chelating reagents and non-availability of suitable metal indicator. Thus, back titration of solution containing mixture of ions (Zn 2+ and Al 3+ ) with EDTA can be used effectively to determine the aluminium present in the solution. UV-visible Studies: Experiment includes measurement of optical density (OD) of the given set of metal complexes in solution, which can be correlated with their Crystal Field Stabilization Energy (CFSE in Octahedral geometry). Fluorescence Studies: This involves solution based emission studies of organic dyes prepared in the “Organic Chemistry Lab” and calculate the emission quantum yield with the help of a fluorescence standard. IR Spectral analysis of compounds: Experiment includes hands-on training of IR spectrometer and learn basic interpretation of IR spectra of metal complexes and selected organic compounds; which is a simple analytical tool to find out the functional groups present in the sample.

    CH 522

    Organic Chemistry Laboratory

    Credit
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    0 | 0 | 4 | 2

    Course Content

    Organic Chemistry Laboratory [CH 523]

    Credit
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    0 | 0 | 4 | 2

    Synthesis of dibenzyledeneacetone- Experimental demonstration of aldol condensation for the carbon-carbon bond forming reaction. Synthesis of aspirin from salicylic acid- Acetylation of phenol using acetic anhydride. Methyl salicylate from aspirin- Esterification reaction of the synthesized salicylic acid using methanol and conc. sulfuric acid. Syntheis of Fluorescein-, Preparation of a classic fluorescent dye using phthalic anhydride and resorcinol. Reduction of ketone- NaBH 4 reduction of benzophenone /acetophenone in methanol. Synthesis of Chalcone- A solid state chemical reaction using the mechanical grinding method Diels-Alder reaction- One of the important pericyclic reaction, [4+2] cycloaddition of anthracene and maleic anhydride. Solvent extraction- Separation of an Acidic, a Basic and a Neutral Substance using solvent extraction will be performed. Interpretation of IR spectra of organic molecules- IR spectrum of the synthesized organic molecules will be recorded and the interpretation of the spectrum will be carried out to identify the organic molecules. Interpretation of NMR spectra of organic molecules- NMR spectrum of the synthesized organic molecules will be recorded and the interpretation of the spectrum will be carried out to identify the organic molecules.

    CH 523

    Analytical and Computational Chemistry Laboratory

    Credit
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    0 | 0 | 4 | 2

    Course Content

    Analytical and Computational Chemistry Laboratory [CH 524]

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Analytical Chemistry
  • Spectrophotometric Determination of Iron: The experiment will teach Complexometry, UV absorbance measurements of standards and unknowns.
  • Identification of amino-acids using pH titrations:
  • Estimation of Solubility Products of Silver Salts through potentiometric methods.
  • Determination of Formation constants of Iron(III)-Glycine using spectrophotometry.
  • Chromatographic separations: Students will learn the following techniques; Thin Layer, Paper chromatography, High Pressure Liquid Chromatography and Gas Chromatographic separation methods.
  • UV and Fluorescence spectroscopy: Solvatochromic studies of dyes in various solvents. Theoretical Chemistry
  • Density functional theory calculations: Identification of transitions states.
  • Molecular Dynamics: Introduction to force fields and molecular dynamics simulation methodology.
  • Molecular Docking: Identification of lead compounds.

    • CH 524

    Physical Chemistry Laboratory

    Credit
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    0 | 0 | 4 | 2

    Course Content

    Physical Chemistry Laboratory [CH 525]

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Acetic acid adsorption over charcoal-Testing the physisorption models. Thermodynamics of charge transfer complexes- Estimating parameters such as enthalpy and entropy from an equilibrium reaction. Elevation in boiling point to calculate the boiling point elevation constant- Verifying this physical phenomenon by using a number of solute and solvent. Calculating the distribution constant and/or equilibrium constant of I 2 in aqueous medium- An equilibrium reaction between potassium iodide and iodine will be used to estimate the parameters. Electron transfer studies in Fe 3+ /Fe 2+ system using electrochemical techniques- Several techniques such as cyclic voltammetry will be used to understand the electron transfer process. Recording and interpretation of powder XRD pattern of an oxide materials- Specific oxide sample will be used to record the x-ray diffraction and its interpretation will be taught. Estimating the density of a crystalline powder using x-ray diffraction method- Powder x-ray diffraction pattern will be recorded and the lattice parameter estimation will reveal the density. Sol-gel synthesis of SiO 2 aerogels- Sol-gel synthesis will be utilized to make few amorphous and crystalline material and characterize Temperature dependent adsorption of CO 2 over solid materials- A detector based technique will be used to quantify the adsorption of gases such as CO 2 on adsorbent materials. Biodiesel synthesis using soybean oil and its characterization using TGA- Base catalyzed reaction will be used to synthesize the biodiesel. Due to specific combustion behavior, biodiesel can be easily characterized by TGA. Thermal decomposition behavior of carbonates, nitrates and hydroxides using TGA- Thermal behavior of the mentioned materials will be used to understand their decomposition behavior by TGA technique.

    CH 525

    Chemistry of Natural Products

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Chemistry of Natural Products [CH 602]

    Credit
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    3 | 0 | 0 | 4

    This is an advanced course once the students are familiar with basic synthetic chemistry principles. Reactions of heterocyclic compounds (which form the basic skeleton of natural products) includes imidazoles, oxazoles, thiazoles, pyridazines, pyrimidines and pyrazines, terpenes, alkaloids, antibiotics, carbohydrates, vitamins, nucleic acids and proteins. This course will also offer biosynthetic pathway of some important natural products.

    CH 602

    Electrochemistry

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Electrochemistry [CH 615]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introductory principles in electrochemistry, Conductance, Transference number, ionic conductivity and Redox reactions, Electric double layer, different models, capacitance, Electron transfer and kinetics; Nernst Equation, Butler-Volmer equation, Tafel equation, Instrumental methods in electrochemistry, cyclic voltammetry and steady state techniques; Special Topics; electrocatalysis, batteries, and fuel cells.

    CH 615

    Applied Chemical Biology

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Applied Chemical Biology [CH 616]

    Credit
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    3 | 0 | 0 | 4

    Inspiring properties of biological systems, Bio-inspired analogs and mimics, Classes of synthetic modifications and artificial self-assembling systems: nucleic acids (PNA, LNA), beta- peptides, artificial lipids and carbohydrates, Bio-inspired materials as sensors, Conjugation of biological molecules with micro- and nanomaterials, diagnostics & therapeutics inspired by biomacromolecules, bio-inspired molecules in imaging, Case studies of commercially viable bio-inspired entities.

    CH 616

    Interpretative Organic Spectroscopy

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Interpretative Organic Spectroscopy [CH 622]

    Credit
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    3 | 0 | 0 | 4

    UV–Visible Spectroscopy: Electromagnetic spectrum, basic principles, concept of chromophore, electronic transitions in organic compounds, Structure elucidation by UV-Vis and Woodward – Fisher rules; IR – Spectroscopy: Basic principles, IR as a tool for functional groups determination in organic compounds; NMR Spectroscopy: Basic principles. Introduction to NMR techniques – CW and FT NMR techniques, 1H NMR Spectral parameters – intensity, chemical shift, multiplicity, coupling constant; Analysis of first and second order spectra. Multinuclear NMR (with specific emphasis on 13C NMR): Proton coupled, off–resonance decoupled 13C NMR spectra. Structure determination by NMR: Assignment of chemical shifts, additively effect, characteristic chemical shifts of common organic compounds and functional groups, DEPT spectra. Introduction to multinuclear NMR of common hetero atoms present in organic compounds (N, F, O, P, D). 2 D NMR techniques Homo- & Hetero-COSY and NOESY spectra; Mass Spectroscopy: Basic principles, techniques of ion production and ion and daughter ions, molecular ion and isotope abundance, Meta-stable ions, Fragmentation pathways: Mc-Lafferty Rearrangement and fragmentation pattern of common chemical classes. Application of MASS for organic structure elucidation: determination of molecular formula and MASS spectra-structure correlation.

    CH 622

    Selected topics in Physical Chemistry

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Selected topics in Physical Chemistry [CH 624]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Solid state Chemistry- Introduction to crystal structure, Bonding and electronic properties of solids, Defects and non-stoichiometry, Brag’s law and application, Descriptive solid state chemistry, Introduction to phase diagram, electrical and magnetic properties, symmetry elements and point groups. Molecular spectroscopy- Theories of spectroscopic; vibrational and rotational spectroscopy, photo electron spectroscopy, magnetic resonance spectroscopy. Surface chemistry- Heterogeneous catalysis, adsorption isotherms. Introduction to electrochemistry- Redox reactions, Electrode processes, Electric double layer, Electron transfer and kinetics; Nernst Equation, Butler-Volmer equation, Tafel equation, Instrumental methods in electrochemistry; cyclic voltammetry and steady state techniques; Electrode reactions with coupled chemical reactions, Special Topics; electrocatalysis, batteries, and fuel cells.

    CH 624

    Asymmetric Synthesis and Catalysis

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Asymmetric Synthesis and Catalysis [CH 626]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction to asymmetric synthesis; chiral auxiliaries and chiral pool approach; Chiral resolution processes such as Kinetic Resolution (KR); Parallel Kinetic Resolution (PKR); and Dynamic Kinetic Resolution (DKR); Asymmetric catalysis like Biocatalysis; Metal catalysis and Organocatalysis. Application to the asymmetric synthesis of bioactive drug molecules.

    CH 626

    Metabolism & Biosynthesis

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Metabolism & Biosynthesis [CH 627]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Chemistry of Digestion and Absorption Processes: Digestion and absorption of carbohydrates, lipids and proteins; Solute transport; Solubility of substrates and products; Molecular chaperones for absorption Metabolic Pathways and Control: Location of carbohydrate, lipid and protein metabolism pathways with respect to one another; common metabolic sources and fates; compartmentalization of metabolic pathways; regulation of carbohydrate, lipid and protein metabolism; synthesis, storage and utilization of energy sources; thermodynamic relationships among pathways Biosynthesis: Synthesis of biomolecules (carbohydrates, lipids and proteins) from common building blocks; transport and regulation of synthetic precursors; common intermediates in synthesis of other biomolecules; synthesis of nucleic acid components Clinical Relevance of Metabolism & Biosynthesis: Health implications of abnormal metabolism and biosynthesis; energy metabolism and diet; selected diseases of metabolism; drug development for countering abnormal metabolism and biosynthesis.

    CH 627

    Fluorescence Spectroscopy for chemists and biologists

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Fluorescence Spectroscopy for chemists and biologists [CH 628]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction to fluorescence, Absorption and emission processes, fluorescence markers and their characteristics, Environmental effects, molecular sensors and other photo-induced non-fluorescent states of fluorophores, polarization and rotational measurements of molecules, resonance energy transfer (FRET) and molecular distance measurements with fluorescence, ultra-sensitive fluorescence spectroscopic and microscopic techniques, including single molecule spectroscopy and methods based on fluctuation analysis, applications of fluorescence spectroscopy in biology, medicine and drug development.

    CH 628

    Medicinal Chemistry for life

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Medicinal Chemistry for life [CH 629]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    This course would include Pharmacology, Molecular Pharmacology, Microbiology, Biochemistry, Physiology, Medicine and Pharmacy. Classification of Drugs, Mechanism of drug action at enzymes, Principles of drug discovery, Synthesis of important (historical) drugs and their biological applications.

    CH 629

    Catalytic Chemistry

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Catalytic Chemistry [CH 630]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction Basic modes of catalytic action, Classification and key concepts; Practical applications and Economic impact; Auto catalysis; Bio catalysis; Electro catalysis and Photo catalysis, Materials Perspective Desired characteristics, nature of the active site, metal support interaction, lattice oxygen and defect; Adsorption, adsorption mechanisms and models; Oxides, noble metals, and other materials as catalysts; Synthesis and Characterization of catalysts; Analytical techniques; Supports, Dopes, Alloys, Core-shell, Nanoparticles. Screening of catalysts Scientific and Engineering considerations Kinetics of Catalytic Reactions Strategies and designs for laboratory studies; Development of basic forms of rate equations. Deactivation and poisoning Mechanisms, models and design strategies

    CH 630

    Solid State Chemistry and Applications

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Solid State Chemistry and Applications [CH 632]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Structure and chemistry of solids: Diffraction techniques and analysis of diffraction data; Crystal defects, nonstoichimetry and solid solutions; Structure of solid electrolytes, conducting polymers and surfaces; Solid state transformations and reactions. Electronic and magnetic Properties: Band theory of metals, insulators and semiconductors, k space and Brillouin zones. Photodiodes, Avalanche photodiodes, piezoelectric effect; Magnetic moment, Curie law, Curie-Weiss law, Mechanism of magnetic ordering, Exchange Interaction, Domain theory, Hysteresis, Anisotropy, Ferromagnetism, Ferrimagnetism, Antiferromagnetism. Optical properties of solid: Polarizability, origin of refractive index, optical properties of dielectrics and metals, Surface plasmon resonance. Selected examples of materials, structures, properties and applications with respect to structure/property relations.

    CH 632

    Single Molecule Spectroscopy

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Single Molecule Spectroscopy [CH 633]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Review of interaction of matter and light; Transition dipole moment; Frank Codon principle; Photophysics of molecules; Introduction to microscopy, diffraction limit, numerical aperture. Various microscopy methods: confocal, wide-field, and wide-field TIRF; Excitation and detection of single molecules in solution and immobilized on surface. Systematic study of signals, noise, and signal-to-noise. Fluorescence correlation spectroscopy; Fluorescence resonance energy transfer; Detection of single molecules in a solid matrix a low temperature. Zero-phonon line, natural linewidth; saturation, spectral diffusion, Zeemn effect; Introduction to super-resolution imaging. PALM, STORM, and STED method for super-resolution localization; Application of single molecule imaging in biology, chemistry, soft matter; Application as single photon source in quantum optics.

    CH 633

    Introduction to Molecular Dynamics

    Credit
    L | T | P | C
    2 | 0 | 2 | 4

    Course Content

    Introduction to Molecular Dynamics [CH 634]

    Credit
    L | T | P | C
    2 | 0 | 2 | 4

    Provides an introduction to molecular modelling. Course covers the following topics. Empirical force field models: Molecular mechanics; Molecular Dynamics simulation method; Energy minimization methods for exploring the energy surface; Density Functional Theory. The course will introduce students to bio-molecular simulation programs CHARMM and NAMD. The Gaussian 09 package will be introduced to perform DFT calculations. Tutorial sessions will be included into the curriculum. The course requires a project to be completed for credits.

    Guided introduction to force field development and molecular dynamics simulations using a project heavy module to enable students to setup simulations and execute the same.
    1) Empirical force fields
    • The energy components of the force field
    • Understanding the bonded and non-bonded terms and their contributions.
    • How to choose a force field
    • Additive vs Polarizable force fields.
    2) Parametrization protocol to develop a force field
    • How to develop consistent parameters
    • Parameter transfer vs Parameter development
    • What to target for parametrization
    • Density Functional Theory calculations
    • Crystallographic databases
    • Thermodynamic data
    • NMR observables.
    3) Energy minimization methods
    • Steepest descent method, Newton Raphson method and Adopted basis Newton Raphson method.
    4) Molecular Dynamics simulation methodology and protocol
    • Periodic boundary conditions – Implementation and the crystal cell types, cubic vs truncated octahedron.
    • 2D boundary simulations - Slab Boundaries
    • Ewald Summation
    • Non-bonded cutoff schemes and their implementations– Switch vs Shift
    • Temperature schemes – Langevin dynamics vs Lowe-Andersen dynamics
    • Pressure schemes – Berendsen vs Nose-Hoover Langevin piston
    5) Which ensembles to use NVT vs NPT vs NVE – Parameters defining the choice of the ensembles.

    6) Long simulations vs enhanced sampling simulations
    • Micro-second simulations
    • Replica exchange simulations
    • Free energy perturbations schemes.

    Research Tools:
    • CHARMM (Force Field Development)
    • NAMD (Production Simulations on CPUs)
    • GROMACS (Production Simulations on GPUs)
    • Gaussian 09 (Density Functional Theory Calculations)

    The course contents described above will be taught using a research project. Topics will be discussed by implementing the same in the project. Research projects will be devised which to target a very specific system setup. The projects will be picked up with emphasis on bio-molecular and nanoscale simulations.

    CH 634

    Chemical Process Calculations

    Credit
    L | T | P | C
    1 | 2 | 0 | 2

    Course Content

    Chemical Process Calculations [CL 201]

    Credit
    L | T | P | C
    1 | 2 | 0 | 2

    Basic problem solving skills in Chemical Engineering; Unit conversions, Stoichiometry; material and energy balances; material and energy balances with chemical reactions; purge and recycle; thermophysics and thermochemistry; first law of thermodynamics and its applications.

    CL 201

    Chemical Engineering Thermodynamics

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Chemical Engineering Thermodynamics [CL 221]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Maxwell Relations and Fluid Properties Estimation; Pure Component Phase Equilibria, thermodynamic properties; ideal gas mixtures, imperfect gases; liquid state and solution theories. Single Phase Mixtures and Solutions; Ideal Solutions; Partial molar quantities; Gibbs- Duhem Equation; Phase-Rule; Phase equilibrium criteria, non-ideal solutions, residual and Excess properties; Fugacity and Activity Coefficient models; vapor-liquid equilibrium (VLE) at low to moderate pressures; Raoult’s Law, Henry’s law High-Pressure VLE, Triangular phase diagrams. Chemical Reaction Equilibrium: Homogeneous and Heterogeneous reactions; Multi- reaction Equilibria; Combined Phase and Reactions Equilibria.

    CL 221

    Fluid Mechanics Lab

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Course Content

    Fluid Mechanics Lab

    [CL 251]

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Measurement of viscosity by efflux time; Type of flows (Reynolds Number apparatus), Verification of Bernoulli Theorem; friction in circular pipes; Flow measuring devices: orifice meter, venturimeter, rotameter; Equivalent length of pipe fittings; characteristics of centrifugal pump; Vapor pressure of liquid; infinite dilution activity coefficient; Vapor-liquid equilibrium; Calorimeter; calibration of thermocouple.

    CL 251

    Separation Processes

    Credit
    L | T | P | C
    3 | 2 | 0 | 4

    Course Content

    Separation Processes

    [CL 321]

    Credit
    L | T | P | C
    3 | 2 | 0 | 4

    Gas absorption: Equipments for gas absorption/stripping, design of tray and packed tower design; Distillation: batch distillation, continuous fractionation-tray and packed towers, Tray hydrodynamics and efficiencies, special distillation techniques; Extraction: Liquid-Liquid extraction-Calculations with and without reflux for immiscible and partially miscible system; Solid-liquid extraction; Simultaneous heat and mass transfer: drying, humidification operations, design of cooling towers; Adsorption and Ion Exchange: Types and nature of adsorption, Adsorption equilibria, stage-wise and continuous-contact adsorption operations, ion-exchange equilibria, ion exchange cycle and operation of ion exchangers; Crystallization: Crystal geometry, supersaturation, nucleation, crystal growth, crystallization equipment;Membrane Separation Processes: Gas separation processes, reverse osmosis processes; ultrafiltration, pervaporation, dialysis and electrodialysis.

    CL 321

    Chemical reaction engineering

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Chemical reaction engineering

    [CL 322]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Motivation; fundamentals of batch and flow reactors; general mole balance equation; rate laws and stoichiometry; conversion and reactor sizing; reactors in series; algorithm for data analysis from batch reactor and flow reactor data; experimental planning for data analysis; Isothermal reactor design: mole balance in terms of conversion, mole balance in terms of concentration and molar flow rates, effect of pressure drop in conversion, micro reactors, membrane reactors; Multiple reactions: selectivity and yields in series, parallel and complex reactions. selection and ordering of reactors for parallel, series and complex reactions; Steady state non isothermal reactor design: energy balance equation to flow and batch reactor systems, design of adiabatic and isothermal reactors, equilibrium conversions, multiple steady states; Catalytic reactors: catalytic reaction mechanisms, rate law for catalytic reactions, external diffusion, internal diffusion, design of packed bed reactor; Residence Time Distribution (RTD): fundamentals of non-ideal reactors, measurement and characterization of RTD, RTD for ideal reactor, non ideal reactor modeling using RTD

    CL 322

    Introduction to Polymer Science and Engineering

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Introduction to Polymer Science and Engineering

    [CL 324]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Nature of macromolecules and basic concepts of Polymer Science and Engineering, Molecular forces and chemical bonding, Chain configuration and conformations, Molecular weight and molecular weight distribution; Polymerization, Condensation polymerization, Addition polymerization; Mechanical properties of amorphous polymers, Viscous flow, Rubberlike elasticity, Viscoelasticity, Glass transition; Macromolecules in solutions, Equilibrium thermodynamics, Extension to polymer blends and gels, Kinetics of phase separation, Dynamical systems involving polymer gels; Historical perspective and classification of polymer processing operations, Manufacturing processes, Orientation and structure development during processing, Models for processing techniques.

    CL 324

    Heat Transfer and Thermodynamics Lab

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Course Content

    Heat Transfer and Thermodynamics Lab

    [CL 351]

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Thermal conductivity of metal rod; Laminar flow heat transfer; Turbulent flow heat transfer; Heat transfer by natural convection; Finn tube heat exchanger; Plate Heat exchanger, Heat transfer in agitated vessel; heat transfer in fluidized bed; Gas-phase diffusivity by using Stephen tube; Solid-liquid mass-transfer coefficient.

    CL 351

    Mass Transfer and Reaction Engineering Lab

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Course Content

    Mass Transfer and Reaction Engineering Lab

    [CL 352]

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Differential distillation; Sieve plate distillation column; packed bed gas absorption; Liquid- liquid extraction; Cooling tower; Forced convection batch dryer; Residence time distribution (RTD) in Laminar flow reactor (LFR); Residence time distribution (RTD) in Continuous stirred tank reactor (CSTR); Batch reactor; Single CSTR and CSTRs in series; CSTR and LFR in series.

    CL 352

    Process Control

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Process Control

    [CL 422]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    First Principles model development; Process dynamics for first, second and higher order systems: linearisation, transfer function models, effect of poles, zeros and time delays on system response; Empirical models from data; control system instrumentation; introduction to feedback control: objectives, PID control; analysis of closed loop systems: stability, root locus, frequency response using Bode and Nyquist plots; control design techniques: design criteria, time and frequency domain techniques, model based design, tuning; advanced control strategies: cascade and feed forward, introduction to multivariable control; controller implementation through discretisation.

    CL 422

    Non-Linear Analysis

    Credit
    L | T | P | C
    3 | 0 | 0 | 6

    Course Content

    Non-Linear Analysis

    [CL 423]

    Credit
    L | T | P | C
    3 | 0 | 0 | 6

    Introduction to nonlinear dynamics of physical systems with varying degrees of complexity; survey of a variety of concepts associated with flow, fractals & attractors, bifurcation phenomena, mappings, nonlinear oscillations, nonlinear modeling and forecasting, chaotic behavior, and strange attractors; Specific examples of nonlinear behavior from Engineering and Sciences.

    CL 423

    Process Analysis and Simulation

    Credit
    L | T | P | C
    1 | 1 | 4 | 3

    Course Content

    Process Analysis and Simulation

    [CL 424]

    Credit
    L | T | P | C
    1 | 1 | 4 | 3

    Introduction to design, Balances in large chemical processes, Flowsheeting & Process Simulation Concepts, Process simulation programs (Aspen plus), Preliminary sizing and mechanical design of process equipment, Cost estimation, Engineering economics and profitability analysis

    CL 424

    Process Synthesis and Design

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Process Synthesis and Design

    [CL 425]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Process Synthesis and Design, Heuristic methods for process design –(Douglas hierarchical design procedure, Onion diagram),Separation system synthesis, Energy integration and heat exchanger network,Process Optimization, Process diagrams –( PFD, P&ID), Safety analysis, Environmental and sustainability considerations, Capstone design project.

    CL 425

    Biochemical Engineering

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Biochemical Engineering [CL 426]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction to Biochemical Engineering
    Who is a Biochemical Engineer – What do Biologists and Engineers have in common, Success Stories from the World of Biochemical Engineering (Penicillin to COVID vaccine)
    An Engineer’s Perspective on Biology – Microbial Diversity, Cell Structure and Construction, Cell Nutrients
    Overview of Enzymes – What are Enzymes and how do they function,
    Metabolic Pathways – Glucose metabolism, Respiration, Nitrogen Fixation
    Cell Kinetics – Cell growth in batch and continuous cultures, Cell growth phases, Factors affecting cell growth, Chemostats and its deviations
    Engineering Principles for Biochemical Engineering
    Operating Consideration for Bioreactors – Choosing the cultivation method, Chemostat with recycle, multistage chemostat, Fed-batch operation, Perfusion systems
    Immobilized Cultures - Cell immobilization, diffusional limitations
    Bioreactors – Mechanically stirred tanks, Bubble columns, Packed bed reactors, Airlift reactors, Microreactors, Scale-up, Scale-down
    Unit Operations in Biochemical Engineering
    Separation Processes in Biochemical Engineering - Filtration, Centrifugation, Coagulation, Flocculation
    Cell disruption – Ultrasonication, Osmotic shock, Freezing, Enzymatic digestion, Chemical solubilization
    Purification and Quantitation of Biochemical Products - Precipitation, Chromatographic, Electrophoretic, Aqueous Two-Phase Systems
    Product Storage – Stabilization and storage of proteins, Concentration, Ultrafiltration, Lyophilization, Dialysis
    Overview of Unconventional Approaches and Applications of Biochemical Engineering
    Circumventing Traditional Biochemical Processing - Extracellular protein production; Cell-free protein synthesis
    Applications of Biochemical Engineering – Medical Devices (artificial kidney), Gene therapy, Biological wastewater treatment, Biomaterials, Biofuels, Biosensors, Hybrid Materials
    Biochemical Engineering and Society - Bioethics, Regulating the use of Genetically Modified Organisms, Safety and Concerns
    Future – Where do we go from here? Moving towards a circular economy and a sustainable future involving synthetic meat

    CL 426

    Formulation Science and Engineering

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Formulation Science and Engineering [CL 427]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    The course is focused on liquid, semisolid (paste-like) formulations where one or more components are dispersed in a solvent. The course will be taught in the form of modules, each module focusing on a formulation with a specific application.
    Module-I: Introduction to formulations design. Examples of formulations.
    Module-II: Suspensions: Formulations of solid/liquid dispersions. Understanding of inter-particle interaction potential, stability, and potential stabilizer. Discussion on properties of dilute, semi-dilute, and concentrated suspensions.
    Module-III: Emulsions: Formulations of liquid/liquid dispersions. Synthesis and thermodynamics of emulsification. Introduction to nanoemulsions, microemulsions, Pickering, and multiple emulsions. Stabilization and destabilization of emulsions. Discussion on properties of dilute, semi-dilute, and concentrated emulsions.
    Module-IV: Foams: Formulations of air/liquid dispersants. Surface force theory. Surface viscosity and elasticity. Foam films, foam drainage, foam collapse
    Module-V: Evaluation techniques for formulations after dilution
    Module-VI: Evaluating formulations without dilution. Discussion on toxicity evaluation of formulations

    CL 427

    Process Dynamics and Control Lab

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Course Content

    Process Dynamics and Control Lab

    [CL 451]

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    First order dynamics of bulb thermometer; Second-order dynamics of under-damped system- pendulum; second-order dynamics of critically damped system-interacting tanks; second-order dynamics of critically overdamped system-non-interacting tanks; On-off controller (liquid-level control); PID controller (Temperature control); Adsorption; Reverse osmosis; High performance liquid chromatography; Liquid chromatography; UV-vis spectrophotometer.

    CL 451

    Advance Transport Phenomena

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Advance Transport Phenomena

    [CL 601]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Vector and tensor algebra, Calculus. Kinematics: Motion, streamlines, pathlines and streaklines.Governing equations of fluid mechanics: Equation of continuity, Momentum balance, Stress tensor, constitutive equations, Boundary conditions. Unidirectional flows: steady and unsteady; Two-dimensional flows: Stream function. Limiting cases: Creeping flow, Inviscid flow, Boundary layer theory, Turbulent flow: Transition to turbulence, Turbulence models. Macroscopic balances. Governing equations of heat transfer: Energy balance, Constitutive equations, Boundary conditions, Conduction, Forced convection, Natural convection. Radiation, Macroscopic balances. Concentrations, velocities and mass fluxes: Governing equations of mass transfer: Species mass balance, Constitutive equations, Boundary conditions. Complete solutions, Diffusion in gases, Diffusion and reaction, Forced convection, Simultaneous heat and mass transfer.

    CL 601

    Advanced Thermodynamics

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Advanced Thermodynamics

    [CL 602]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Classical Thermodynamics: Introduction, Review of Basic Postulates, Conditions of Equilibrium, Legendre Transformation and Maxwell’s relations, Stability of Thermodynamic systems, First Order phase transitions and Critical Phenomenon (second order phase transitions) Phase Rule, Single component phase diagrams, Introduction to Multicomponent Multiphase equilibrium mixtures, partial molar properties, fugacity and activity coefficients, Ideal and Non-ideal solutions, VLE/SLE/LLE/VLLE triangular plots, Chemical Equilibrium and Combined phase and reaction equilibria.
    Statistical Thermodynamics: Mathematics-probability distribution, stirling approximations etc Canonical Ensemble, Microcanonical Ensemble, Grand Canonical Ensemble: Expressions for partition functions and their relation to thermodynamics variables Boltzmann, Monoatomic, Diatomic and Polyatomic Gases: Calculation of Partition functions and thermodynamics properties, Introduction to Classical Statistical Mechanics: Calculation of partition function, phase space, Liouville equation Crystals (Solids): Partition functions, the Einstein and Debye theory Intermolecular forces and potential energy functions, Imperfect Monoatomic Gases: Virial Equation of State, Second Virial Coefficient, Law of Corresponding states, Perturbation theory: Distribution functions.

    CL 602

    Advanced Reaction Engineering

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Advanced Reaction Engineering

    [CL 604]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Review of fundamentals in chemical reaction engineering, Numerical solutions of reaction engineering problems, membrane reactors, micro-reactors, reactive distillation, unsteady state non-isothermal batch-semibatch-CSTR-PFR reactor design, chemical reaction with mass transfer, fluidized bed reactor, multiphase reactors, design of non-ideal reactor using residence time distribution data.

    CL 604

    Colloidal Domain:Where Science meets Engineering

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Colloidal Domain:Where Science meets Engineering

    [CL 605]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Forces in Colloidal Systems, Electrostatic Interactions in Colloidal Systems, Colloidal stability, Colloidal Sols, Surface Chemistry, Colloidal properties and characterization techniques of systems such as polymers, emulsions, amphiphiles.

    CL 605

    Chemical Microscopy

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Chemical Microscopy

    [CL 625]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Fundamentals of optics (reflection, refraction, dispersion, objectives, aberrations, illumination, image formation, resolving power, and image contrast);Polarized light microscopy (In-situ imaging, measuring anisotropy, melting point determination, contaminant identification, phase transformations);Phase contrast and interference contrast microscopy; Confocal microscopy coupled with fluorescence spectroscopy and Raman spectroscopy for chemical mapping; Advanced techniques in fluorescence microscopy (Fluorescence Resonance Energy transfer, Fluorescence lifetime imaging, fluorescence recovery after photo bleaching, fluorescence correlation spectroscopy); Scanning probe microscopy (Near field optical microscopy, chemical force microscopy, scanning thermal and tunneling microscopy); Electron microscopy (field emission, combination with x-ray and auger electron spectroscopy ;Ultraviolet and Infrared microscopy for chemical imaging; Overview of microscopic practices

    CL 625

    Particulate Solids: Processing & Surface Engineering

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Particulate Solids: Processing & Surface Engineering

    [CL 627]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Dry synthesis of particles, Particle and bulk powder characterization: Particle size, shape, hardness, surface properties, nano-scale surface roughness, Surface energetics, Powder flow and packing properties, Dispersion properties of fine particles, Mechanical properties of powder bed; Powder processing: Storage and flow of powders through hoppers – hopper designing, Separation of particulate system from gas – gas cyclone, Pneumatic transport of powder materials, Mixing and segregation of particulate solids, Flow through packed bed of particulate solids – fluidization, Reactor with suspended solid particulates – the bubbling fluidized bed (BFB), the K-L model for BFB, Circulating fluidized bed, Heat transfer in fluidized bed, Granulation, Powder sintering; Inter-particle forces and surface engineering of particulate solids; Particle engineering through surface coating, plasma processing, size reduction, design and formation of composite particles for advanced applications in pharmaceuticals, food, propellant, aerosols, cements, fertilizers, cosmetics and fine chemicals etc.; Hazards of fine particle handling: Explosion hazards of fine powders, Health effects of fine particles.

    CL 627

    Liquid State Theory

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Liquid State Theory [CL 628]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Recap of statistical mechanics: Microstates and macrostates, canonical ensemble, isothermal-isobaric ensemble, grand canonical ensemble, introduction to the types of simulations. Functionals: Introduction to functionals and their differentiation, functional derivatives of the grand potential. Distribution functions: Introduction to Distribution functions, direct correlation functions, density response functions, Classical density functional theory. Diagrammatic methods: Diagrammatic expansions of direct correlation functions, Introduction to virial expansion of the equation of state. Integral equation theory: Yvon-Born-Green hierarchy, Ornstein-Zernike equation, hypernetted chain approximation, Percus-Yevick approximation, mean spherical approximation. Time-dependent correlations: Properties of time correlation functions, Langevin equation, linear response theory, time-dependent fluctuations, estimation of the macroscopic transport coefficients. Molecular liquids: Molecular pair distribution function, Site-site distribution functions, Reference Interaction Site Model (RISM) equations. Inhomogeneous liquids: Free energy functionals for liquids at interfaces, application to liquid-vapor interface, calculation of surface tension, density functional theory of wetting.

    CL 628

    Fundamentals of Aerosol Science

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Fundamentals of Aerosol Science [CL 629]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    The proposed course encompasses aerosols' properties, transport, and transformation that one would need a firm hold on to mitigate undesired aerosols and engineer desired aerosols or nanoparticles via the aerosol pathway.

    The size range of particles for this course will be from a few nanometers to >20 microns.

    The course content is divided into the following modules for ease of reference:

    Physical and chemical characterization: size and shape, particle morphology, size distribution functions, moments of distribution function, fractals, self-preserving size distribution, common instrumentation

    Transport and deposition: diffusion, convection, force migrations, thermophoresis, inertial Transport and deposition, impactors, gravitational settling, design and operating principle of aerosol instruments based on particle transport

    Optical properties: light scattering by a single particle, Mie theory, Rayleigh scattering, aerosols impact on visibility, design and operating principle of aerosol instruments based on optical properties

    Aerosol dynamics: coagulation (Brownian and force-field), collision frequency function, thermodynamic properties, Kelvin Relation, nucleation, gas to particle conversion, evaporation, condensation, general dynamic equation

    CL 629

    Catalyst Design for Heterogeneous Reactions

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Catalyst Design for Heterogeneous Reactions [CL 630]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    1. Introduction to heterogeneous catalysts: prominent industrial thermal catalysts; unconventional catalyst synthesis techniques – vacuum synthesis, autoclave methods, thermal methods
    2. Fundamentals of heterogeneous catalysis: turnover-rate; tools (mass spectrometry, gas chromatography, titration) and methods of catalytic measurements; transient and steady-state measurements; mass transfer limitations and catalyst loss
    3. Basics of chemical bonding and reaction barriers
    • Free energy/ scaling relationship
    4. Understanding elementary catalytic steps: pressure dependence; kinetic isotope measurements; steady-state isotopic transient kinetic analysis
    5. Catalyst design:
    • Can the ligand effects and ensemble effects be decoupled?
    • Ex situ tools
    • Composition, importance of particle and crystallite sizes, morphology, acidity/basicity (NH3 adsorption), heats of adsorption (TPD, isothermal calorimetry, differential scanning calorimetry)
    • Surface science studies of crystalline catalysts; Measure of reaction barriers
    • In situ tools
    • Importance and challenges, current status; time-resolved measurements and effective spectroscopic cell design
    • Spectroscopic technique selection rules; X-ray techniques, electron beam techniques, light techniques (IR, Raman, UV-vis) and other techniques
    • Operando measurements
    • Set up and limitations, structure-function relationships, compatibility with in situ spectroscopic techniques
    • Case-studies of in situ and operando measurements – strength and pitfalls

    CL 630

    Operating Systems

    Credit
    L | T | P | C
    3 | 0 | 2 | 5

    Course Content

    Operating Systems [CS 301]

    Credit
    L | T | P | C
    3 | 0 | 2 | 5

    Operating System basics: OS Evolution, History and Design Principles.
    Processes and Threads: Kernel/User Level Operations; Thread/Process Synchronization. System Calls and APIs; Interrupt Handling; CPU Scheduling.
    Memory Management: Virtual Memory; Address Spaces and Translations; Segmentation and Paging; role of TLBs in Virtual Memory; Other caching techniques.
    Concurrency and Synchronization: Race Conditions; Locks; Semaphores; Concurrent Data Structures.
    I/O Systems and Storage Devices: Hard Disk Drives(HDDs); Solid State Devices(SSDs); File Systems Design Principles and Implementation; Maintaining Data Integrity.
    Miscellaneous: Virtualization; Introduction to Distributed Systems.
    Case Studies: Linux/Unix.

    CS 301

    Theory Of Computation

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Theory Of Computation [CS 302]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Finite Automata and Regular Languages: Deterministic and Nondeterministic finite automata and their equivalence, Pumping lemma, the Myhill-Nerode Theorem.
    Pushdown Automata (PDA) and Context free languages (CFL): Context free grammars (CFG), normal forms, variants of pushdown automata, equivalence of PDA and CFG, pumping lemma for CFLs.
    Turing Machine (TM) and Computability: Variants of TM and their equivalene, Decidability and Undecidability, Halting problem, reductions, Rice's theorem.
    Complexity Theory: Time Complexity, P, NP, many-one reductions, NP-completeness, Cook- Levin theorem, Space Complexity.

    CS 302

    Compilers

    Credit
    L | T | P | C
    3 | 0 | 2 | 5

    Course Content

    Compilers [CS 327]

    Credit
    L | T | P | C
    3 | 0 | 2 | 5

    Overview of Compiler; Brief discussion on Assembler, Linker, Loader Lexical Analysis; Syntax Analysis: Parsers, Top-down, Bottom-UP, LR Parsers, Parser generators; Syntax directed translation; Intermediate code generation and type checking; Run-time Environments; Type checking; Code generation and optimization (data flow analysis, instruction optimization, loop optimization, memory optimization etc). Tools : Flex, Bison (or similar software).

    CS 327

    Introduction to Data Science

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Introduction to Data Science [CS 328]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Overview of data representation (as vectors, sets, graphs), basics of feature creation (e.g. document to sets/vectors); probability basics, central limit theorem, probabilistic inequalities and concentration bounds; Singular Value Decomposition/PCA and best-fit subspaces, low- rank approximation, eigenvectors and power method; mixture models (gaussians, document- topic models, graph models); applications of matrix factorizations to mixture model learning; Modeling and estimation; maximum likelihood, Bayesian estimators, regression, sampling methods (e.g. unbiasing, bootstrapping, confidence intervals); hypothesis testing (basics and augmentations e.g. non-parametric, multiple hypothesis testing, Bayes Factor); Unsupervised methods; clustering (k-means/median, kmeans++); graph analytics: ranking methods (pagerank, HITS) and connection to random walks, algorithms for community detection and connection to eigenvalues, triangle counting; Introduction to memory efficient approximate computation, Bloom filters, approximate counting (Morris’ algorithm, Count Sketch, Count-Min sketch, AMS sampling); Distributed paradigms for big data e.g. MapReduce, introduction to Hadoop and Spark (examples e.g. pagerank and kmeans); Ethical and privacy issues in data science, introduction to privacy models; introduction to causality and counterfactuals, bucket testing;

    CS 328

    Data Mining

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Data Mining [CS 422]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    The ubiquitos usage of computing and communication technology is resulting in an unprecedented generation of data. The increased storage and computational capacity makes it possible to sift through this mountain of data and identify knowledge nuggets that can be used for improvements in productivity and customer service. This course introduces five important aspects of data mining:clustering, classification, association, predictions, and sequential mining. We will study the theoretical foundations of these techniques, and apply them in practical situations. Relevant introduction to database management and data preparation will also be provided. There is a considerable emphasis on the applications through assignments and projects. The datasets that will be used can be categorized as: private retail dataset, government published demographical statistical datasets, and web datasets.

    CS 422

    Introduction to Applied Cryptography

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Introduction to Applied Cryptography [CS 428]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction and brief history; mathematics background; symmetric cryptography: one-time pad, stream ciphers, block ciphers, hash functions, message authentication codes, authenticated encryption; information security vs. computational security: random function/permutation, pseudorandom function/permutation, integer factorization and discrete logarithm problems; asymmetric/public key cryptography: RSA and El Gamal based encryption and signature schemes; secret sharing; key distribution: Diffie-Hellman key agreement protocol, Kerberos; an advanced topic: Bitcoin-the first crypto-currency.

    CS 428

    Computer and network security

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Computer and network security [CS 431]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Software security. Basics of OS; OS security; injection vulnerabilities; buffer overflows; access control; sandboxing; malware: viruses and worms; writing secure code. Web security. Web basics; web security model; cross-site scripting; SQL injection; session managements with cookies; https protocol. Network security. Basics of networking; security of TCP and DNS protocols; firewalls, VPNs and intrusion detections; denial of service (DoS) attacks. Brief overview of mobile security

    CS 431

    Databases

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Databases [CS 432]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction to RDBMS; Structured Query Language (SQL); Relational Algebra; Entity-Relationship Model; Relational Database Design; Storage and File Structure; Application Development; Indexing and Hashing; Query Processing; Query Optimization - Transactions (Serializability and Recoverability); Concurrency Control; Recovery Systems; Introduction to no-SQL databases.

    CS 432

    Computer Networks

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Computer Networks [CS 433]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Introduction to Computer Networks: Layered Network Protocol Architectures: OSI and TCP/IP reference models. Overview of Telecommunications, Cellular networks & Internet Architecture. Physical and Link Layers: Basics of communications; Delay, Loss and Throughput. Physical media types and their important bandwidth and bit-error-rate characteristics; Wired and Wireless media including copper cables, optical fiber and wireless. Framing; Error control: Bit-parity, CRC and Hamming Codes. Medium Access Control (MAC): Shared media systems; Bus, Star and Ring topologies; TDMA, FDMA, CSMA, CSMA/CD, Ethernet and IEEE 802.3; IEEE 802.11 including CSMA/CA protocols; Shared and Switched Ethernet; Introduce protocols such as ARP, RARP and ICMP. Network Layer: Design Principles: Protocols, Addressing and Routing. Study of Internet Protocol (IP) suite; Hierarchical network architectures; IPv4 and IPv6 addressing and headers; Routing protocols: distance-vector and link-state approaches; Interior and Exterior Gateway Protocol concepts; Routing Algorithms including Dijkstra's algorithm and distributed Bellman-Ford algorithm; Example protocols: OSPF, RIP, BGP. Transport Layer: Connection oriented and Connectionless protocols: TCP and UDP; Details of TCP: Buffer Management, Flow Control and Congestion control; Study of TCP variants such as Reno, Tahoe, Vegas and CUBIC. Reliable transmission and Automatic Repeat Request (ARQ) protocols: Stop-and-Wait, Go- back-N, Selective Repeat. Application Layer: Study of Protocols and Applications: DNS, FTP, HTTP, and SMTP. Socket Interface and Socket programming. Advanced topics and recent trends in Computer Networks and Future Internet: Information Centric networking, Software Defined Networking (SDN), Network Function Virtualization (NFV), Internet of Things (IoT), Docker and Container Networking (CNIs), Programmable switches, OVS, and SmartNICs. Tutorials will also include hands-on programming and problem solving. Miscellaneous: Introduction to Datacenter Networks, Different RFCs. Case Studies: Linux/Unix TCP IP Stack. Network Simulators: NS-3, and Mininet. Optional: NS-2, OMNet,

    CS 433

    Advanced Topics in Cryptology

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Advanced Topics in Cryptology [CS 606]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course contents: Pseudorandomness and the Blum-Micali generator; Pseudorandom function, GGM and cascade constructions; Number-theoretic constructions of pseudorandom functions; Private information retrieval; Oblivious transfer; Garbled circuits and Yao's 2-party protocol; BGW multiparty protocol; Elliptic curves; Pairings; ID- based encryption; Interactive proofs, Zero-knowledge proof systems, Zero knowledge proofs of knowledge, Non-interactive zero-knowledge proofs; Sigma protocols, ID protocols; Universal hash functions, min-entropy, leftover hash lemma.

    CS 606

    Combinatorics with Applications in Computer Science

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Combinatorics with Applications in Computer Science [CS 607]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Elementary Counting Techniques, averaging, pigeonhole principle, inclusion-exclusion, double counting; Extremal Set Theory, Sunflower Lemma, Intersecting Families, Chains and Antichains; The Linear Algebra Method, Dimensionality Arguments, Orthogonality and Rank Arguments, Eigenvalues and Graph Expansion, Polynomial Method, and Combinatorics of Codes; The Probablistic Method, Linearity of Expectation, Second Moment Method, Lovász Local Lemma, Random Walks, Derandomization. Ramsey Theory: Ramseyan Theorems for Numbers, Hales–Jewett Theorem.

    CS 607

    Advanced Data Structures

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Advanced Data Structures [CS 609]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Amortised Analysis, Fibonnaci heaps, Splay Tree, ScapeGoat Tree, Lower Bound for Binary Search Tree, Tango Trees, Geometric view of BST, Successor Problem: van Emde Boas, Link-Cut Trees, Euler Tour Trees, Dynamic Connectivity, Lower Bound, Tries, LCA Query, String Matching, Suffix Tree, Suffix Array, Fault Tolerant Data Structures: Stack, Linked List, BFS Structures, Reachability. Hashing : Universal, Simple Tabulation, Cuckoo. Cache Oblivious Data Structures: B-Tree. Succint data structures: binary trees, rank, select.

    CS 609

    Algorithms

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Algorithms [CS 610]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Review:Greedy, Dynamic Programming, Applications of BFS and DFS, Shortest Paths, Data Structures. Network Flow: Max-Flow Min-Cut Duality Theorem, Preflow-push algorithm, Applications. NP-completeness: Complexity class P and NP, Polynomial-Time reductions, Examples. Approximation Algorithms: Greedy approximation, Local search, rounding, primal dual. Randomized Algorithms: Skip lists, hash tables, algebraic techniques, coupon collector problems.

    CS 610

    Computer Systems

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Computer Systems [CS 612]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction to Instruction Set Architecture (ISA); RISC vs. CISC; Performance Metrics; In-Order and Out- of-Order pipelines; Data and Control Hazards; Exception Handling; Cache Hierarchies; Cache Coherence; Virtual Memory; Memory Hierarchy; Multiprocessor Systems; Simultaneous Multi-Threading; Disks and Flash Memory; Performance Benchmarking; Case Studies – Intel; Operating System basics; Processes and Threads; Thread/Process Synchronization; CPU Scheduling; Memory Management; I/O Systems and Storage Devices; File Systems; Virtualization; Case Studies – Linux/Unix; Networking and Internet; Name Resolution and Routing; Naming Schemes; Inter-process Communication; Remote Procedure Calls; Distributed File Systems; Co-Ordination and Agreement; Replication; Case Studies – Google/Facebook services

    CS 612

    Natural Language Processing

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Natural Language Processing [CS 613]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Text processing fundamentals: Tokenization, Stemming, Spell Correction, etc.:
    Language Modeling: N-grams, smoothing;
    Morphology; Parts of Speech Tagging;
    Syntax: PCGFs, Dependency Parsing;
    Distributional Semantics; Topic Models;
    Lexical Semantics; Word Sense Disambiguation;
    Information Extraction: Relation Extraction, Event Extraction;
    Applications: Text Classification, Sentiment Analysis, Opinion Mining, Summarization;
    Deep learning for NLP; Representationl Learning

    CS 613

    Advanced Algorithms

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Advanced Algorithms [CS 614]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    ● Approximation Algorithms: Greedy and combinatorial methods; Local search; Dynamic programming and approximation schemes; Linear programming rounding methods (randomized, primal-dual, dual-fitting, iterated rounding); Semidefinite program based rounding; Metric methods; Hardness of Approximation; Unique Games ● Randomized Algorithms: Game-theoretic techniques; Moments and deviations; Tail inequalities; The probabilistic method; Markov chains and random walks; Algebraic techniques. ● Parameterized Algorithms: Bounded-Depth Search Trees; Kernelization; Iterative Compression; Color Coding; Divide and Color; Treewidth; Introduction to W-hardness and the hardness of kernelization. ● Exact Algorithms: Branching; Dynamic programming over subsets; Inclusion-Exclusion; Algebraic techniques; Measure and Conquer; Local Search; Hardness results conditioned on SETH and ETH. ● Suggested Problems: Vertex Cover; Set Cover; Feedback Vertex Set; Sparsest Cut; k-Cut; Multiway Cut; Facility Location; Satisfiability and variants; Constraint Satisfaction

    CS 614

    Parallel and Distributed Systems

    Credit
    L | T | P | C
    3 | 0 | 2 | 4

    Course Content

    Parallel and Distributed Systems [CS 616]

    Credit
    L | T | P | C
    3 | 0 | 2 | 4

    Introduction to Parallel and Distributed Systems: Flynn’s Taxonomy, Service models, Client -Server computing, Amdahl’s Law. Distributed Shared Memory, Uniform Memory Access (UMA), Non-Uniform Memory Access (NUMA) and cache coherent NUMA (CC-NUMA). GPU architecture and CUDA programming. Fundamental concepts of processes and synchronization; locks and barriers; data parallel algorithms; Semaphores and Monitors, communication concurrency control. Logical Clocks, Vector Clocks and Clock Synchronization. Lab exercises based on synchronization using Go programming language and Lab exercises on CUDA programming.

    Distributed Consensus: Transactions and Leader election Algorithms. Fault tolerance: ACID (Atomicity, Consistency, Isolation, Durability) /BASE (Basically Available, Soft-state, Eventual consistency) properties, (Consistency, Availability, Partitioning) CAP theorem, Replication and Redundancy models. Lab exercises based on fault tolerance using Go programming language.

    Interaction: Message passing interface (MPI), remote procedure call (RPC) and rendezvous; (manager/workers, heartbeat, and pipeline), probe/echo, broadcast, token passing, and replicated servers. Interconnection topologies, load balancing, memory consistency model, scalability and performance studies, scheduling, storage systems. Virtual Machines, Process/Live Migration. Security of distributed systems and data sharing, authentication and authorization, protocol security. Cloud Computing; Blockchains and distributed ledgers.
    Lab exercises based on RPC using Go programming language.

    Case Studies: Among recent advances in Distributed Stream Processors, Google Cluster Architecture, Amazon Lambda, Kubernetes. Lab exercises can be modeled on Kubernetes/Serverless Platforms.

    Other Programming tools: OpenMP, MPI

    Labs will include hands-on programming in the CUDA, Go programming language and working with different distributed tools and platforms.

    CS 616

    Computational Complexity Theory

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Computational Complexity Theory [CS 617]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    ● Fundamentals: Definition of Turing Machines, Time and Space, Diagonalization, Hierarchy Theorems.
    ● Poly-time (P), Nondeterministic poly-time (NP), and completeness: Definitions of P and NP, Turing reductions and many-one reductions, NP-completeness of Satisfiability (SAT).
    ● Space complexity: Logspace (L) and Nondeterministic Logspace (NL), Savitch’s Theorem, logspace reductions, NL-completeness of directed graph reachability, NL=coNL (coNL indicating complement of NL), PSPACE (polynomial space).
    ● Randomness and Interaction: Bounded-error probabilistic polynomial-time (BPP) and randomized-polynomial time (RP), Polynomial Identity Testing (PIT), Valiant-Vazirani Theorem, Polynomial hierarchy (PH) and its characterizations, PSPACE (polynomial space), PSPACE-completeness of Quantified Boolean Formulas (QBF), interactive proofs (IP), Arthur-Merlin classes, IP = PSPACE.
    ● Non-uniformity: Boolean circuits, Nick’s class (NC), Matching in Randomized NC (RNC), Karp-Lipton Theorem.
    ● Cryptography and Complexity: One-way functions and Pseudorandom generators.
    ● Counting: #P, Toda’s theorem, The permanent
    ● Circuits: Alternating circuits of constant depth (AC0), Alternating circuits with counting (ACC0), Threshold circuits (TC0), Nick’s class level 1 (NC1) etc., AC0 lower bounds.
    ● Branching programs: Barrington’s Theorem, Monoid programs.
    ● Exact complexity: Exponential-time hypothesis (ETH) and Strong exponential-time hypothesis (SETH), sparsification lemma.
    ● Randomness vs Hardness: Derandomization implies circuit lower bounds.

    CS 617

    Creativity, Design and Doing

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Creativity, Design and Doing [DES 302]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Design as a phenomenon: The meaning of design as perceived by an ‘informed’ user, lay person, designer, artist and the one who sells a designed product; Craftsmanship: Design in relation to Craftsmanship / the object culture / the built environment. Design as a social, political and environmental act; Why design? Doing more with less energy, resources and time. Design for comfort, convenience, pleasure, productivity, ease of operation, safety, equity; How does one design? The process from conceptualization to concretization; What is creativity? The importance of design thinking and creativity; Design and skills: Be informed, imagine, visualize, sketch, draw, simulate and make.

    DES 302

    Electronic Devices

    Credit
    L | T | P | C
    2 | 1 | 0 | 3

    Course Content

    Electronic Devices [EE 221]

    Credit
    L | T | P | C
    2 | 1 | 0 | 3

    Introduction to semiconductors; Energy bands and charge carriers in semiconductors; Introduction to semiconductor equations and carrier statistics, Poisson's and Continuity equations, Fermi-Dirac statistics and Boltzmann approximation to the Fermi-Dirac statistics; Semiconductor diodes; Zener diode; Optoelectronic devices like photodiodes, light emitting diodes and lasers; MOS capacitor; MOS Transistor; Bipolar junction transistors; High frequency and high power devices like Tunnel diode, IMPATT diode, Gunn diode, PNPN diode and the semiconductor controlled rectifier.

    EE 221

    Electromagnetic Waves

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Electromagnetic Waves

    [EE 311]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Review of static electric and magnetic fields; electromagnetic (EM) waves and applications; Transmission lines: concept of distributed elements, transmission line equations, phase and attenuation constants, propagation constant and characteristic impedance, lossless, low-loss and distortion-less lines, travelling and standing waves; reflection coefficient and SWR, input impedance, impedance matching – quarter and half-wave lines, equivalent reactive elements, load impedance measurement, analysis of open-circuited and short-circuited lines, stub matching, power flow in a transmission line, maximum power transfer condition, graphical representation of a transmission line, Smith chart, transmission line calculations using the Smith chart, pulse propagation, various types of transmission lines; Maxwell’s equations, displacement current, time-varying potentials, Lorentz conditions, boundary conditions at media interface; EM wave propagation - in lossy dielectrics, in lossless dielectrics, in free-space and in conductors, skin effect and skin depth, intrinsic impedance, complex permittivity and loss tangent, power flow and the Poynting vector, phase and group velocity, reflection of EM waves; Waveguides: parallel plate waveguide, rectangular and cylindrical waveguides, cut-off frequency, TE, TM and TEM modes; EM radiation and antennas: retarded potentials, Hertzian dipole, short loop antenna, antenna characteristics and radiation parameters, Friis equation, standard antennas – dipole, array, aperture and horn.

    EE 311

    Analog Circuits

    Credit
    L | T | P | C
    3 | 1 | 3 | 5

    Course Content

    Analog Circuits [EE 321]

    Credit
    L | T | P | C
    3 | 1 | 3 | 5

    Review of BJT and MOS transistor operation; BJT and MOS transistor biasing schemes, small signal models; CE/CS, CB/CG and CC/CD amplifiers; BJT and MOSFET high frequency models, SPICE models and simulation; frequency response of CS amplifiers; Miller’s theorem; current mirrors; active loads; cascode amplifier; differential amplifiers; feedback topologies and properties, stability, Barkhausen criterion, effect of feedback on amplifier poles, Bode plots, gain and phase margins; positive feedback and sinusoidal oscillators, Wien bridge oscillator, other op-amp based RC oscillators; multivibrators, square and triangle waveform generation; precision rectifier circuits; filter types and specifications, Butterworth and Chebychev filters first and second order filters, second order LCR resonators, active filters based on inductor replacement; data conversion, D/A converter circuits, A/D converter circuits.

    EE 321

    Electrical Machines

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Electrical Machines [EE 331]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Transformers – working principle, single phase transformer, equivalent circuit, voltage regulation, losses and efficiency; three phase transformer; autotransformer; instrument transformers. Principles of electromechanical energy conversion – forces and torques in magnetic field system, field energy and coenergy; DC machines – constructional details, generating and motoring modes, classification of machines, terminal characteristics, losses and efficiency, starting and speed control of DC motors; Alternator – generation of three phase emf, circuit model, terminal characteristics, voltage regulation, parallel operation of alternators and load sharing; Synchronous motor – creation of travelling magnetic field, starting methods, speed control; Induction motor – constructional details, working principle, circuit model, terminal characteristics, starting methods, speed control; Special machines – universal motor, single phase induction motor, stepper motor, servo motor, permanent magnet motors, switched reluctance motors; Selection of motor for specific application; Engineering aspects of electric machine performance and operation.

    EE 331

    Power Systems

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Power Systems [EE 332]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Energy sources;Structure of power system; Basic concepts of 3-Øelectrical systems; Modeling of power system components - transmission lines,synchronous machine, loads, transformers, etc.; Per unit system; Line parameters and their calculations; Transmission line performance and analysis, Power flow – formulation and solution methods like Gauss seideland Newton-Raphson method; Economic operation of power systems – economic dispatch of generation, unit commitment, automatic generation control, and frequency control; Fault analysis–symmetrical faults, symmetrical components, sequence models, unsymmetrical faults; Power system stability–swing equation and equal area criterion of stability; Introduction to switchgears and protection.

    EE 332

    Power Electronics

    Credit
    L | T | P | C
    2 | 1 | 3 | 4

    Course Content

    Power Electronics [EE 333]

    Credit
    L | T | P | C
    2 | 1 | 3 | 4

    Power semiconductor devices – diodes, thyristors, BJT, MOSFET, GTO, IGBT, MCT; Drive and protection circuits; AC-to-DC converters – uncontrolled and controlled, single phase and three phase, performance parameters, effect of source inductance; DC-to-DC converters – buck, boost, buck-boost and cuk; DC-to-AC converters – voltage source and current source, square wave and pulse-width-modulated, single phase and three phase, performance parameters; AC-to-AC converters; Resonant converters – zero-voltage and zero-current switching; Applications of power electronics – power supplies, motor drives, industrial applications, power system; Harmonics and mitigation.

    EE 333

    Communication Systems

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Communication Systems [EE 341]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Review of signals and spectra, band-limited signals, analysis of signals, distortion in transmission; linear CW modulation, methods of generation, bandwidth efficiency, synchronous and asynchronous detection, frequency division multiplexing; exponential modulation, narrowband PM and FM, transmission bandwidth, generation and detection, de-emphasis and pre-emphasis filtering; pulse modulation, sampling theorem, aliasing, PAM, PWM, PPM, time division multiplexing; pulse code modulation, delta modulation, DPCM; review of random processes and power spectral density, signal space; Noise analysis; Digital communications basic, line codes and their spectra, pulse shaping, inter-symbol interference, Nyquist criterion for distortionless transmission, equalization; Basics of digital bandpass modulation, ASK, PSK, FSK.

    EE 341

    Digital Signal Processing

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Digital Signal Processing [EE 411]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Introduction to discrete-time signals and systems; linear time invariant (LTI) systems and properties, linear phase systems; brief review of Fourier representations; sampling and reconstruction of continuous-time signals; the z-transform, properties and applications to LTI systems; the discrete Fourier transform (DFT), properties, efficient DFT computation by FFT, effects of finite word length; linear and circular convolutions, block convolutions for long sequences; Signal analysis by DFT, spectral analysis by periodogram and autocorrelation estimates; brief review of analog filter design; IIR filters, stability, design by impulse invariance, bilinear transformations, frequency transformations of low pass IIR filters; FIR filter design by windowing method and Parks-McClellan algorithm, finite precision numerical effects; decimation and interpolation of signals, quadrature mirror filters and perfect reconstruction, subband decomposition; introduction to discrete wavelet transforms.

    EE 411

    Electric Vehicle Technology

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Electric Vehicle Technology [EE 426]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

  • Introduction to Electric Vehicles(EV) : Battery electric vehicles; The IC engine/electric hybrid vehicle; Fuelled electric vehicles; Electric vehicles using supply lines; Support systems; Efficiency and Pollution aspects.
  • Basics of Vehicle dynamics: Power train components of EV system; Dynamic axle loads; Aerodynamics; Acceleration and braking Performance; Force – Velocity Profiles; Approach to EV modelling.
  • Battery Energy Storage: Types of traction batteries; Basics and Parameters; Battery charging, discharging and State of Charge; Circuit modeling of batteries; Safety issues; Future trends on battery management systems; Alternative energy sources.
  • Electrical Machines and Controllers: Choice of Motors; Torque-Speed characteristics of the motor and load; Motor Cooling, Efficiency, Size, Mass and Rating. Power Electronic Converters for drives. Energy recovery through regenerative Braking; Safety and performance monitoring;
  • Ancillary Systems: Battery charging stations; Data Acquisition, safety and performance monitoring systems; Vehicle supervisory control and communication systems.

    • EE 426

    Electrical Systems Lab

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Course Content

    Electrical Systems Lab [EE 431]

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Laboratory experiments on analog, pulse, and basic digital modulation and demodulation techniques; different transmission lines, antennas, and passive devices; digital filter design techniques, signal filtering, effects of finite word length; process control (variables: position /temperature), time response analysis, determination of transfer function for DC motor, design of lag-lead compensator; power flow analysis, stability, and fault analysis; integrated design problems.

    EE 431

    Analysis and Synthesis of Linear Circuits

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Analysis and Synthesis of Linear Circuits [EE 432]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Module 1: Introduction to circuit analysis techniques:
    Motivation and Basics; Importance of circuit theory, practical applications in Electrical/Electronic systems, review of circuit elements, circuit models and network theorems, Laplace transforms, transfer functions, Topological description of network; Network variables; Source transformation technique; node-voltage analysis; mesh-current Analysis.

    Module 2: m-port Network
    Tellegen's Theorem; Passive and Lossless Network; Z-parameter, Y-parameter, Transmission matrix and h parameters; network Interconnection; Characteristic impedance and propagation function.

    Module 3: Transient and steady state analysis
    Transient response in RL, RC and RLC circuits; network equations and solutions using Laplace transform, initial conditions. Fourier analysis for periodic signals; Fourier transform, Steady- state response - amplitude and phase spectra, resonance.

    Module 4: Network Functions
    Driving point function, transfer function, concepts of poles and zeros, Bode plots; Impulse response and convolution.

    Module 5: Graph theory
    Fundamental theorem of graph theory; loop analysis; two basic facts of loop analysis, loop analysis for linear time-invariant networks, properties of the loop impedance matrix, cut-set analysis; cut-set analysis for linear time-invariant networks, properties of the cut-set admittance matrix.

    Module 6: Passive Network Synthesis
    Elements of realizability theory; causality and stability, Hurwitz polynomials, positive real functions, elementary synthesis procedures, properties of L-C immittance functions, synthesis of L-C driving point immittances, synthesis of R-C impedances or R-L admittances, properties of R-L Impedance and R-C admittances. Poles and zeros, Foster‘s reactance theorem, Foster and Cauer forms of LC Networks, Foster and Cauer Canonic forms. Synthesis of RLC networks

    Module 7: Filters
    Maximally flat low-pass filter approximation, transient response of low pass filter, synthesis of low pass filters, magnitude and frequency normalization, Frequency Transformations.

    EE 432

    High Voltage DC and Flexible AC Transmission Systems

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    High Voltage DC and Flexible AC Transmission Systems [EE 604]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    High Voltage DC (HVDC) Transmission: comparison of AC and DC transmission; Types of HVDC links; Major components; Selection of converters configuration; Converter charts; Converter control; Misoperations of converter; Protection against over currents and over voltages; Harmonics and suppression; Ground return; Flexible AC Transmission Systems (FACTS): Principle of compensators - shunt compensators and series compensators; FACTS controllers – based on Thyristors, based on self- commutated switches; Applications of FACTS controllers - stability improvement and congestion management in power system.

    EE 604

    Digital Image Processing

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Digital Image Processing [EE 605]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Fundamentals — Visual perception, Image sensing and acquisition, Image sampling and quantization; Intensity transformations — nonlinear transformations for enhancement, histogram equalization; Spatial filtering — convolution, linear and order statistic filters, unsharp masking.

    Image Transforms — discrete Fourier transform, discrete cosine transform; Frequency domain filtering — DFT, image smoothing, specialized filters (Gaussian, Laplacian, etc); Image restoration — using spatial filters, Wiener filter; Introduction to color spaces and color image processing; Morphological image processing — erosion and dilation, opening and closing, hit-or-miss transform, thinning and shape decomposition; Image segmentation — edge detection, thresholding, regionbased segmentation, watershed algorithm; Image compression — fundamentals, lossless coding, predictive coding, transform coding.

    EE 605

    Applied Statistical Bioelectric Signal Analysis

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Applied Statistical Bioelectric Signal Analysis [EE 606]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Empirical Modeling and Approximation; Fourier Analysis applied to Biomedical Engineering; Probability concepts and Signal characteristics; Introduction to Random processes and Signal properties; Random Signal Modeling and Parametric Spectral Estimation.

    EE 606

    Advanced Signal Processing

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Advanced Signal Processing [EE 609]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Review of discrete time signals and systems, Z-transform, DFT/FFT, Digital filter structures, IIR and FIR filters; Frequency Domain Analysis - Frequency-Domain Characterization of Linear TimeInvariant Systems, Correlation Functions and Spectra at the Output of LTI Systems, Linear TimeInvariant Systems as Frequency-Selective Filters, Inverse Systems and Deconvolution; Multirate Digital Signal Processing - Introduction, Decimation and Interpolation, Sampling Rate Conversion by a rational factor, implementation, applications, digital filter banks, Two-Channel Quadrature Mirror Filter Bank, M-Channel QMF Bank; Power Spectrum Estimation - Random Signals, Correlation Functions and Power Spectra, Estimation of Spectra from Finite-Duration Observations of Signals, non-parametric methods for Power Spectrum Estimation.

    EE 609

    Restructured Power Systems: Operation and Management

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Restructured Power Systems: Operation and Management [EE 611]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Fundamentals of electricity markets: Privatization and deregulation; Types of electricity markets - Pool, Bilateral and Multilateral; Components of deregulated power systems; Independent system operator (ISO) and Power exchange (PX): Functions and responsibilities; Pricing mechanisms, and energy trading arrangements; Transmission pricing paradigm and congestion management; Ancillary services and system security management in deregulation; Distributed generation in deregulated markets; Electricity market developments in India; IT applications in electricity markets.

    EE 611

    VLSI Design

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    VLSI Design [EE 617]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Review of MOS device operation, combinational and sequential logic design; CMOS logic families including static, dynamic and dual rail logic.
    Fabrication of MOS transistors, Circuit Layout: Design Rules, Parasitics.
    Arithmetic blocks (ALUs, FIFOs, counters), memory; data and control path design, Logical Effort.

    Introduction to hardware description languages (verilog), Analysis and synthesis algorithms including circuit, switch and logic simulation, logic synthesis, layout synthesis and test generation.
    Chip design examples, Floor-planning, Packaging.

    EE 617

    Microelectronics Lab

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Course Content

    Microelectronics Lab [EE 618]

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Familiarization with Synopsis and Silvaco TCAD tools; Simulation of different Semiconductor processes; Structural design of BJT, nMOS and pMOS transistor using process simulation; Simulation of semiconductor devices (Diodes and Transistors) to obtain I-V plots; Parameter extraction of a MOS transistor; Simulation of a CMOS Inverter to obtain delay and other parameters; Familiarization with compact models and transistor-level circuits.

    Basic concepts of hardware description languages (Verilog/VHDL); Introduction to FPGA and FPGA programming; HDL programming to understand hierarchy, concurrency, logic and delay modeling; HDL programming to understand Structural, Data-flow and Behavioral styles of hardware description; RTL S thesis usin tools; Writin Test-bench desi , Post-s thesis simulation of di •tal desi s.

    EE 618

    Special Electrical Machines

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Special Electrical Machines [EE 619]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Permanent Magnet Brushless D.C. Motors - Fundamental equations; EMF and Torque equations; Torque speed characteristics; Rotor position sensing; Sensorless motors; Motion control.
    Permanent Magnet Synchronous Motors- Construction; Principle of operation; EMF and torque equations; Starting; Rotor configurations; Dynamic model Synchronous Reluctance Motors-Constructional features; axial and radial flux motors; operating principle; characteristics.

    EE 619

    Power Electronic Converters

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Power Electronic Converters [EE 629]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Switched mode power supply — principle, control, design; Power conditioners; Uninterruptible power supplies.
    DC motor drives — adjustable speed drives; Induction motor drives — variable frequency drives, static slip power recovery scheme, vector control; Synchronous motor drives — trapezoidal, sinusoidal excitations, load commutated inverter drives; Drives for brushless machines.
    Space heating, air-conditioning, induction heating, electric welding.
    Converters for HVDC transmission and FACTS; Interconnection of renewable energy conversion systems.
    Harmonics and electromagnetic interference — mitigation by passive and active power filters.

    EE 629

    Lasers

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Lasers

    [EE 639]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Fundamental wave and quantum properties of light, light-matter interaction;, discrete energy levels; Radiative transitions and emission linewidth, energy levels and radiative properties of matter, radiation and thermal equilibrium;Absorption and stimulated emission, population inversion, gain and gain saturation, laser oscillation above threshold, population inversion requirements in 2-, 3-and 4-level systems, laser pumping; Laser resonators, stable resonators, Gaussian beams, special cavities; Specific laser systems, solid-state lasers, pulsed lasers; Semiconductor lasers, edge-emitting and surface emitting lasers, quantum cascade lasers; Modulation of lasers; electro-optic, acousto-optic and direct current modulation; Frequency multiplication of laser beams, introduction to nonlinear optical effects.

    EE 639

    Solar Photovoltaics: Physics, Technologies and Applications

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Solar Photovoltaics: Physics, Technologies and Applications [EE 643]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction: Photovoltaic (PV) history, PV economics, Solar energy conversion; Physics: Crystal structures, atomic bonding, types of semiconductors, energy band diagram, p-type and n-type semiconductors, doping and carrier concentration, diffusion and drift of carriers, continuity equation, P-N junction and its properties, dark I-V equation of P-N junction, junction under illumination, solar cell parameters, measurements of solar cell parameters, short circuit current, open circuit voltage, fill factor, cell efficiency, optical losses, electrical losses, surface recombination velocity, quantum efficiency, I-V characteristics; Technologies: Crystalline/Poly-Crystalline silicon solar cell technologies, Amorphous silicon solar cell technology, Thin film solar cell technologies, Characterization of solar cell materials and devices, Nanostructured solar cells; Applications: System components; Cells, modules and arrays; Interfacing PV modules to loads; Power Conditioning and Maximum Power Point Tracking (MPPT) Algorithms; Inverter control topologies for stand-alone and grid-connected operation; Stand-alone PV systems, Grid-connected (utility interactive) PV systems.

    EE 643

    Physics of Transistors

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Physics of Transistors

    [EE 644]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Transistor as a black box; Energy bands; Density of states; Fermi level; Recombination- Generation in semiconductors; Carrier Transport; Poisson and continuity equations; 1D energy band diagrams; Bipolar junction transistors (BJTs); Metal-oxide-semiconductor (MOS) electrostatics; MOS capacitors; Poly Silicon gates and quantum mechanical effects; MOS transistor equations; Ballistic MOS transistor; Scattering theory; Effective mobility; MOS transistor scaling; 2-D MOS electrostatics; Short channel effects; V T engineering; Series resistance and effective channel length; MOS transistor leakage; High voltage MOS transistors; SOI MOS transistors; High electron mobility transistors (HEMT): Reliability of MOS transistors

    EE 644

    3D Computer Vision

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    3D Computer Vision

    [EE 645]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Review of linear algebra, calculus of variations, signals and systems; Camera and image formation – optics; Feature detectors – edge and corner detection; Feature descriptors – SIFT, SURF, feature matching; Shape from X – Reflectance map, BRDF, Shape from shading, Photometric stereo, depth from defocus, depth from focus, RGB-D images; Single view geometry – finite projective cameras, camera parameters, point correspondences, estimation of camera matrix, direct linear transformation (DLT); Two view geometry – homography, epipolar geometry, estimation of fundamental matrix, image rectification, stereo correspondence, shape from stereo; Three view geometry – trifocal tensors; Motion – optical flow field, Estimation of dense and accurate optical flow field; Multi view geometry – structure from motion, triangulation, factorization, bundle adjustment; Internet vision – mining community photo collections (Flickr, Facebook, etc.).

    EE 645

    Asynchronous Circuit Design

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Asynchronous Circuit Design

    [EE 647]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Synchronous and asynchronous systems: advantages and challenges of each paradigm, Classification of asynchronous circuits:self-timed, speed-independent, delay-insensitive; hazards isochronic forks and arbitration; Communication: two-phase, four-phase, hybrid handshaking schemes;Graphical representations: Asynchronous finite state machines, Petri nets, Timed event structures; Control circuits: synthesis of speed-independent control circuits from signal transition graph specifications;Data-path circuits: design of efficient data-path circuits with completion detection/indication; Pipelining; Micropipelines; Globally asynchronous locally synchronous systems; Multiple clock domains and interfacing between independent clock domains; Case studies: some recent (commercial) asynchronous IC's; Current research trends.

    EE 647

    Dynamic Behaviour of Electric Machines

    Credit
    L | T | P | C
    3 | 0 | 2 | 5

    Course Content

    Dynamic Behaviour of Electric Machines

    [EE 648]

    Credit
    L | T | P | C
    3 | 0 | 2 | 5

    Principles for electric machine analysis; Behaviour of iron-cored winding to DC and sinusoidal excitations; Behaviour of machine winding to converter fed excitations; Steady state behaviour of induction and synchronous machines – balanced and unbalanced operations; Behaviour of induction and synchronous machines to converter fed excitations; Characterizing dynamic behaviour of converter fed motors – electronicallycommutated DC motor, switched reluctance motor and synchronous reluctance motor.

    EE 648

    CMOS Analog IC Design

    Credit
    L | T | P | C
    3 | 0 | 0 | 6

    Course Content

    CMOS Analog IC Design [EE 651]

    Credit
    L | T | P | C
    3 | 0 | 0 | 6

    CMOS Analog IC Design will broadly cover the following topics: Analysis, design theory and simulated design of CMOS op-amps; digital-to-analog and analog-to-digital converters; and phase-locked loops (if time permits).

    EE 651

    IC Design Laboratory

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Course Content

    IC Design Laboratory

    [EE 652]

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Familiarization with Synopsis and Silvaco TCAD tools; Familiarization with Sentaurus Device Mixed-Mode Simulation tool; Familiarization with Cadence design tools; MOS transistor simulation and MOS model parameter extraction; Mixed-mode device simulation of CMOS inverter and CMOS switches; Simulation of CMOS based amplifiers (Single stage, Cascade, simple Cascode and Gain- boosted Cascode); Simulation of Current mirrors and Current amplifiers; Simulation of Single stage and 2-stage operational amplifiers; Simulation of Folded-Cascode operational amplifier; Design of common-mode feedback (CMFB) circuit; Layout of a 2-stage operational amplifier; Simulation and layout of Bandgap reference circuits; Simulation of switched capacitor based circuits. Basic concepts of System Verilog, Circuit designs based on standard cell library, synthesis using design synthesis tools, and functional and timing simulations; Design of additional standard cells, simulations, library extraction; Computer-aided design of integrated circuits, Examples may include data path circuits, controllers, memory design with interfacing circuits.

    EE 652

    Analog IC Design Lab

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Course Content

    Analog IC Design Lab [EE 653]

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Familiarization with Cadence design tools; Extraction of Metal Oxide Semiconductor (MOS) model parameters; Design and Simulation of Complementary MOS based amplifiers (Single stage, Cascade, Simple Cascode and Gain-boosted Cascode); Design and Simulation of Current mirrors, Current sources and Current amplifiers; Design and Simulation of Voltage and Current references; Design and Simulation of Operational Amplifiers (single stage and multi stage); Pole-zero compensation and effect of feedback; Simulation of Operational Amplifiers with double ended output; Common Mode Feedback (CMFB) circuits; Design of fully-differential amplifier; Simulation of switched capacitor based circuits; Analog and Mixed-signal layout techniques

    EE 653

    Carrier Transport in Advanced Semiconductor Devices

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Carrier Transport in Advanced Semiconductor Devices [EE 654]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction: Advancements in MOSFET scaling: bulk MOSFETs, thin-body SOI MOSFETs, multi-gate FETs, nanosheet FETs, 2D material FETs; Review of classical carrier transport: drift-diffusion and continuity equations, Einstein relation, effective mass, density-of-states, Fermi-Dirac statistics, classical size effects; Limitations of drift-diffusion approach in describing modern MOSFETs: quantum confinement effects, Review of Schr
    odinger equation and its solutions.
    Band-structure modeling beyond effective-mass approximation: Review of electronic band-structures (E-k dispersion); Full band-structure from Density-Functional-Theory (DFT); Characterization of band structures using effective mass, density-of-states, and electronic bandgap; Band-structure modeling approaches: effective-mass based Hamiltonian, k.p approach, tight-binding Hamiltonian, and Wannier function approach.
    Semi-classical carrier transport in semiconductors: Introduction to the probability current, Fermi’s golden rule, Carrier scattering mechanisms in semiconductors, Electron-phonon interactions, The relaxation time approximation, The Boltzmann Transport Equation (BTE), Validity of the relaxation time approximation, Limitations of semi-classical transport.
    Carrier transport in nanostructures: Atomic-size conduction channels; Landauer formula; Conductance quantization; General Landauer–Büttiker approach: transmission function, scattering matrix, recursive Green’s function; Open and closed system description using Non-Equilibrium Green’s Function (NEGF): channel Hamiltonian, electrode self-energies, retarded, advanced, lesser and greater Green’s functions, spectral function, charge density matrix; Transmission function and current.
    Applications of quantum transport in advanced nanoelectronics devices: High mobility and short-channel MOSFETs; Tunneling field-effect transistors (TFETs); Transport in low-dimensional materials, e.g., two-dimensional materials; Quantum computing devices; Molecular devices.

    EE 654

    Heterostructure Devices

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Heterostructure Devices [EE 655]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Module 1: Physics of Heterojunctions
    Submodules: Overview of Metal-Semiconductor (MS) junctions: Ideal MS contacts, Schottky diode, the origin of interface/surface states, practical considerations; Overview of Heterojunctions: Materials consideration, semiconductor alloys, lattice-matched systems, energy band-diagrams, types of heterojunctions (type-I, type-II, type-III); Effects of quantum confinement; Hot electrons and Ballistic electrons in heterostructures; Formation of two-dimensional electron gas (2DEG); Quantum wells, Superlattices.

    Module 2: Heterojunction Bipolar Transistors (HBTs)
    Submodules: Review of homojunction bipolar junction transistors (BJTs): overview of BJTs, IV characteristics, advantages and disadvantages; Advantages of heterojunction over BJT device performance, High-frequency performance; Abrupt junction HBTs; Graded junction HBTs; Graded base HBTs; Double heterojunction HBTs, GaAs/InP/Si HBTs, Physical characterization of HBTs, Thermal effects, Performance metrics: transition frequency, maximum frequency, Electrical characterization of HBTs.

    Module 3: High electron mobility transistors (HEMTs)
    Submodules: Modulation-doped field-effect transistor (MODFET): device structure, device physics, electrical characteristics, the use of III-V materials; Charge control of 2DEG; Gallium Arsenide (GaAs) based HEMTs; Indium Phosphide (InP) based HEMTs; Gallium nitride (GaN) based HEMTs: polarization in GaN material, AlGaN/GaN HEMTs, Polarization Effects in AlGaN/GaN HEMTs, current collapse, fabrication, and challenges.

    Module 4: Optical sources and detectors
    Submodules: Basics of sources/detectors; Device structure and materials involved; Figure of merits; Quantum dots based infrared photodetector (QDIP): III-V material based QDIPs, Effect of variabilities on performance parameters; QD based Lasers: working principle, basic characteristics of lasers, different types of lasers; Market demand; Technology trends.

    Module 5: Van der Waals (vdW) heterostructures
    Submodules: Two-dimensional materials and vdW heterostructures: Properties, growth methods, physical characterization, advantages, and applications; Graphene-based vdW heterostructures: Atomic and electronic structure, device applications such as vertical tunnelling based devices; Advantages of transition metal dichalcogenides (TMD) vdW heterostructures based on MoS2, WS2, MoSe2, WSe2, etc., Electrical and optoelectronic properties, TMD heterostructures with twist angle.

    EE 655

    Field Practices in Earth System Sciences

    Credit
    L | T | P | C
    0 | 0 | 0 | 2

    Course Content

    Field Practices in Earth System Sciences [EH 301]

    Credit
    L | T | P | C
    0 | 0 | 0 | 2

    Goals/ tasks

    1. Field geology (rock, feature, structure identification on different spatial and temporal scales): Training for developing skills as an independent field geologist. Focus is to learn what to look for in the field and how to identify and scientifically explain the feature you observed.
    2. Learning a few easy mobile devices (compass, brunton, clinometer) and topo sheet etc.
    3. Mapping and /or sample collection techniques: Rock/ sand/soil/water sample collection for various analytical purposes. Collection of oriented rock samples and learning how to procure samples for various geochronological measurements.
    4. Reading/analyzing features and documentation.
    5. Report writing: A detailed field report has to be submitted within 10 days of completion of the fieldwork and students will be evaluated on the basis of the report and performance in the field.

    Skills that can be achieved

    1. Identifying geological and geomorphic features, sample collection and process interpretation.
    2. Bridging field data with model simulations.
    3. Marine Structures, Life and Pollution.
    4. Features of the biodiversity/national forest: Components, Conservation and Survey

    Prospect areas

    1. Mountain belt/ hills: Understanding the geology of the hills and rock formations, finding structural features showing active tectonics and surface features, erosion etc. These areas need extensive geological mapping. It will be a mapping intensive course. (Kutch-Bhuj area, Aravalli range near Gujarat-Rajasthan border, Deccan traps in northern Maharastra, Northwestern Himalaya etc.)
    2. Beach / coastal areas: Study of sedimentary features and the role of sea. Understanding the vegetation. Study of nearby hills and their geology. Their role in sediment transport and above all, how sea level change occurs and how does it affect the landscape and surface processes (e.g.: Cambay area, Karnataka coast, south-Maharastra coast etc.)
    3. National parks and Sanctuaries: Geology, vegetation and fauna of the national park areas. Understanding the behaviour of the fauna. Mapping will not be possible in the national parks, but in nearby areas. (e.g. Gir National park, Ranthambore national park, Bandhavgarh National Park, Pench Tiger reserve etc.).
    4. River systems and water bodies: Understanding the river systems and their evolution. Role of tides in river confluences near sea and related deposits. How vegetation and fauna depend on the dynamic nature of the delta. (e.g.: Narmada delta).
    5. Mining Areas: Mine visits are essential for understanding how geology and engineering gets coupled. The focus is to learn the geology and genesis of the ore mineral, understanding the mining techniques, safety protocols and reserve estimation. (e.g.: Coal mines in central India, manganese mines in Maharashtra, lignite mines in Gujarat).
    6. Landslides and landfill: Understanding the processes related to landslides, different type of landslides, methodology for slope stability analysis.

    For each year one/two prospect areas will be selected by the instructors.

    EH 301

    Elements of Earth System Science

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Elements of Earth System Science

    [EH 302]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Dynamical Earth’s System: Defining the Earth system an its properties; Earth system components: Lithosphere, atmosphere, hydrosphere, biosphere and sociosphere; Processes and characteristics of different earth components, Interaction between Earth’s components: mass and energy exchanges, Biogeochemical cycles: Water, Oxygen, carbon and nutrients cycles, Regulation of major biogeochemical elements. Coevolution of life and Earth’s planet: Geological time scale, Origin of Earth, Origin of life, Origin of cycles, Changes in Earth’s system components through time. Anthropocene: Coupled human-earth system, Anthropogenic mass transport and energy generation, Changes in mass energy balances and question of sustainability. Models of earth system: Growth, decay, oscillation, spreading, and reactions; Carbon, water and nutrient cycle modes, Diffusion of mass and energy models. Prediction and uncertainties: Sensitivities, Uncertainties in earth system, risk, management, sustainability, Environmental management in high risk and high uncertain systems

    EH 302

    Introduction to Earth Sciences

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Introduction to Earth Sciences [EH 303]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Origin of Earth
    Overview of planet formation with emphasis on Earth, meteorites, layers of the earth, Earth’s magnetic field.

    Origin and Evolution of Life
    Fossils, Formation and evolution of life, Geological time scale.

    Minerals and Rocks
    Major Earth forming minerals, Introduction to Petrology: Igneous, metamorphic and sedimentary, fossils.

    Energy and Natural Resources
    Mechanical, thermal, chemical, mineral deposits, oil and natural gas resources, coal reserves.

    Material and energy cycles: Rocks/ plates/heat/hydrological/carbon.
    Plate tectonics, mantle convection and geochemical signatures, water and carbon cycle.

    Natural Hazards and Sustainability
    Types and causes of Natural Hazards, risk assessment, climate change and sea-level rise, mitigation and policy making.

    EH 303

    Earth Surface Processes in the Anthropocene

    Credit
    L | T | P | C
    2 | 0 | 2 | 4

    Course Content

    Earth Surface Processes in the Anthropocene [EH 601]

    Credit
    L | T | P | C
    2 | 0 | 2 | 4

    Introduction: Introduction to earth surface processes and historical development in concepts, Source of energy, Mass conservation and geomorphic transport laws, Process interaction in shaping the earth surface, Nonlinear and complex behavior of earth systems. Specific Earth Surface Processes: Weathering and formation of soils, karst, slope and catchment erosion processes, fluvial, eolian, glacial, periglacial and coastal processes, and resultant landforms, Water and sediment flux in river systems. An introduction to the earth surface of India. Process Dynamics and controls: Rates and changes in surface processes; Techniques for process measurement, Geochronology of surface and its sediments. Earth system response to external controls i.e. tectonics, sea level/base level change. Geomorphic connectivity, time lag and complexity in signal propagation, Landscape evolution models, Evolutionary trajectory of the landscapes in response to external forcing. Predictability of Earth’s surface processes. Anthropocene: Anthropocene in the context of formal geological classification, Signature for the Anthropocene, Human as an external forcing on Earth’s surface processes, Natural hazards and resource management in Anthropocene; Nonlinear behavior of earth systems and challenges in natural resource managements,

    EH 601

    River Morphology and Ecology

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    River Morphology and Ecology [EH 602]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction to River Science, Introduction to geomorphic concepts: threshold, sensitivity, connectivity, hierarchy and complexity. River basin approach: Sediment source and catchment erosion processes, Transition between hillslope and fluvial processes, Longitudinal river profiles, Sediment load and sediment yield, Sediment and nutrient transport process in rivers, Erosion and sedimentation processes in channel, Geochemical proxies to study sediment dynamics in a river basin. Drainage Network: Quantitative analysis, Role of drainage network in flux transfer, 3-dimensional connectivity in a river basin, Hydrological response of a river basin, Processes in confluence zones, Evolution of drainage network. River processes and morphology: River fluxes, energy distribution and patterns of alluvial rivers - braided, meandering and anabranching channels; Hydrological, sedimentological and ecological characteristics and their interrelationship in different channel patterns; Dynamics of alluvial rivers; Different classification approaches in fluvial geomorphology and its applications. Glacio-fluvial interaction: Sources of water in river system, Hydrological budgeting in the glaciated mountainous region, Spatial variability of glacial melt component in the Himalaya. Bedrock channels: Stream Power law and Bedrock incision process; River response to climate, tectonics and human disturbance; Quantitative analysis of bedrock channel processes and evolution of fluvial landscapes. Stream Management: Fluvial hazards and their causes, Humans and rivers, Ecosystem based approach to stream management, Concept of river health, Environmental Flow (e-flow) – definition, data requirement, different approaches for e-flow estimation.

    EH 602

    Quantitative Geomorphology

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Quantitative Geomorphology [EH 604]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction to Geomorphic processes. Diffusion equation and its applications in modelling of geomorphic processes: Hillslope erosion processes, channel bed sediment transport process, groundwater dynamics. Numerical simulation of landforms through transport equations.Advection-diffusion equation and its applications in modelling of geomorphic processes: river response to tectonic process, knick point migration in river channel. Numerical simulation of processes through advection-diffusion equations.Stochastic processes in Geomorphology and its modelling. Graph Theory and its applications in modelling of geomorphic processes.

    EH 604

    Modeling of Earth System and Sustainability

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Modeling of Earth System and Sustainability [EH 605]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Purpose of mathematical modeling in Earth system science and its methodology; Mathematical representation of the Earth system and its components; Equilibrium algebraic models: energy and mass balance at earth surface, Thermodynamics and chemical reactions in Earth system; Growth and decay ODE models: Biogeochemical cycles; Transport process PDE models: Advection and diffusion processes in the Earth system; Distribution of events: Probability distribution of disaster events; Control of risks in earth system: Optimization models, sustainability models; Numerical algorithms.

    EH 605

    Critical Zone System Science

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Critical Zone System Science

    [EH 606]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Open system framework and introduction to Critical Zone, Components of Critical Zones: Introduction to climate, landforms, soil, water and biota components; Multiscale Geophysical imaging of the Critical Zone: Magnetic, Electrical, Electromagnetic, GPR, NMR and Seismic methods for subsurface imaging. Geochemistry of the Critical Zone: Chemical analysis of soil, surface water and groundwater. Process models in Critical Zone: Radiative energy and mass balance on the Earth’s surface, Thermodynamics of solutions and mixtures, Rate of entropy production, Geochemical kinetics: rate models, Chemical reactions in soil-water interaction, Conservation laws and constitutive relationships for porous media, Richard’s and Boussinesq equations for unsaturated and saturated media. Heat conduction and advection in sub-surface, Mass and energy transport in river and landform evolution; Ecosystem processes: Growth and decay and Advection-diffusion-reaction models; Process - structure integration in the Critical zone: Geological and climatic drivers of critical zone processes, Modifications by anthropogenic forcing.

    EH 606

    Biodiversity Conversation and Sustainable Development

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Biodiversity Conversation and Sustainable Development [EH 608]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    EH 608

    Environmental Geochemistry and Modelling

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Environmental Geochemistry and Modelling

    [EH 609]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    EH 609

    Engineering Seismology and Seismic Hazard Analysis

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Engineering Seismology and Seismic Hazard Analysis [EH 610]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction of earthquake hazard, historical perspective for effects of earthquakes, tsunamis, liquefaction and landslides, major earthquakes in India and in the world, overview of seismic zonation and codes, national and global seismic hazard mapping programs. Overview of plate tectonics, types of faults, earthquake source, source models. Quantification of earthquake size: earthquake energy, magnitude scales, magnitude relations, intensity scale. Wave propagation and attenuation: body waves, surface waves, geometrical spreading and inelastic attenuation, scattering. Earthquake recordings and ground motion parameters: displacement, velocity and acceleration motions, response spectra, spectral acceleration, Fourier spectra. Earthquake location and magnitude determination using seismic records. Brief overview of probability theory: Basic principles, subjective probability, conditional probability theorem, random variables and distributions. Seismic hazard analysis methods: deterministic and probabilistic methods, types of sources and source zonation, earthquake catalogues and seismicity analysis, ground motion models, ground motion simulations, hazard integral and hazard computation, types of uncertainties and their treatment in typical seismic hazard studies, UHS (Uniform Hazard Spectrum). Examples of Seismic hazard studies, e.g., GSHAP (Global Seismic Hazard Assessment Program), and other international programs. Overview of site-specific seismic hazard analysis and micro-zonation, local site-effects, site response analysis methods and site-classifications. State of the practice of seismic hazard analysis post Fukushima incident and examples of some site-specific seismic hazard studies for NPPs (Nuclear Power Plants) around the world. Overview of seismic risk and vulnerability, difference between hazard and risk.

    EH 610

    Near Surface Geophysics

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Near Surface Geophysics [EH 611]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

  • Physical fields of the Earth: Gravitational field, Geomagnetic field; electromagnetic field, seismic wave-field, thermal field.
  • Properties of the Earth and processes: Mechanical properties, density, elasticity, seismic waves; Electrical properties (conductivity and resistivity) of the rocks; Magnetic properties of rocks, soils, Remanent magnetization; Gravity anomalies, Earth’s heat, temperature inside the Earth; Heat transport in the Earth.
  • Measurements of physical fields and rock properties: Gravimeter and gravity measurements, Satellite based gravity measurements, working principle of magnetometer, seismometer and GPR (Ground Penetrating Radar).
  • Methods of geophysical interpretation: Direct and inverse methods, gravity, magnetic electrical surveying and electromagnetic surveying; Seismic reflection and refraction data processing and interpretation; GPR data processing and interpretation.
  • Applications: Applications of geophysical methods in the field of groundwater, geotechnical, civil infrastructure, mining, hydrocarbon exploration using existing data.

    • EH 611

    Ocean and Global Change

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Ocean and Global Change [EH 612]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Module 1: Physio-Chemical Oceanography, Ocean Circulation and Dynamics
    Oceans, their divisions, distribution, characteristics (temperature, salinity, and density), and masses. Ocean observation concepts and techniques; Chemical properties and biology in the ocean; Photosynthetic Primary production and light; Primay production and Nutrients; Geographic variations in primary production; Ocean Circulation and Dynamics I: Ocean Circulation (Wind-driven currents; Open ocean surface currents; Equatorial surface currents; High Latitude surface currents; Upwelling and Downwelling; Coastal currents; Eddies; Thermohaline Circulation; The conveyor Belt); Ocean Circulation and Dynamics II: Ocean-atmosphere Interactions (water and heat budget; Interannual climate variations El Nino and other Oscillations; climate and ocean surface water properties; Ocean Circulation and Dynamics III: Waves and Tides; Summarizing Module 1 with the global fluxes and the deep circulation
    Module 2: Introduction to Palaeoceanography
    Introduction to Ocean and its evolution through time and its influence on Climate; K/T boundary (Chixulub + Deccan Basalts) and Early Paleogene (carbon addition and global warming); Antarctica Glaciation and influence on Ocean and Global Change (Eocene-Oligocene Boundary); Messinian Salinity Crises (Miocene); The last glacial maxima and deglaciation, and Younger Dryas.; OAE’s (Ocean Anoxic Events)
    Module 3: Anthropogenic effects on Ocean and Global Change
    Sea-level fluctuations and Coastlines, Coral reefs and Ocean Acidification; Plastic Pollution; Future Predictions on Ocean and Global Change

    EH 612

    Carbonate Sedimentology

    Credit
    L | T | P | C
    2 | 0 | 2 | 4

    Course Content

    Carbonate Sedimentology [EH 613]

    Credit
    L | T | P | C
    2 | 0 | 2 | 4

    Carbonate Sedimentology Overview: Introduction to carbonates, historical overview, Carbonate chemistry and mineralogy, components, texture, fabric – rock classification. The carbonate factory: microbes and algae, single cells, shells, echinoderms and colonial invertebrates.

    Carbonate Depositional Systems: Warm water neritic realms; Muddy Peritidal carbonates; Carbonate Lagoons; Sand Bodies; Evaporites, lacustrine, springs; Modern and Ancient Reefs; Carbonate Slopes; Deepwater Pelagic Carbonates; Coolwater neritic realms; Basics elements of carbonate stratigraphy; Sequence stratigraphy overview; Carbonate Ramps vs Platforms .

    Porosity, Permeability, and Diagenesis: Carbonate diagenesis overview & chemistry; Diagenetic environments, Paragenetic sequence, Burial graphs; Porosity types and classification.

    EH 613

    Physics of the Lithosphere

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Physics of the Lithosphere [EH 614]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction to Lithosphere: Definition of the Lithosphere; Continental drift, Sea Floor Spreading; and the Plate-tectonics theory; Plate motion using Euler’s Theorem; Plate Tectonic Reconstructions, Gplates.

    Energetic of Lithosphere: Heat transport and production in Earth’s Interior; Cooling of the oceanic lithosphere; Temperature distribution in subduction zones; Continental geotherms; Plate tectonics through ages and The supercontinent cycle and evolution of life

    Dynamics of Lithosphere: Driving Mechanism of Plate Tectonics: Slab Pull and Ridge Push; Rift and Subduction initiation; Accretionary prisms formation; Isostasy and Flexure; Sedimentary, metamorphic, and ore generation

    The Indian Lithosphere: Indian plate motion through ages; Geodiversity of Indian plate; The Indian continental geotherm; Distribution of earthquakes

    EH 614

    Statistical Seismology

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Statistical Seismology [EH 615]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Earthquake Physics
    Stick slip with blockslider model and its stability, Single slip dynamics: various friction models, Friction laws, Regularized rate and state-dependent friction and its invariant formulation

    Earthquake phenomenology
    Earthquakes and different magnitude measurement scales, Earthquake catalogs, Handling modern public-access data for earthquake catalogs, Statistical distributions of earthquake numbers, Earthquake size distribution, Methods of Magnitude of completness Computation, a and b value estimation using maximum likelihood method, Temporal earthquake distribution, Earthquake location distribution, Focal mechanism orientation and source complexity

    Earthquake Forecasting
    ETAS Model, Phenomenological branching models and earthquake occurrence estimation, Long-term rate density estimates, Short-term forecasts, Using Expectation Maximization approach for ETAS parameter estimation; Machine learning approaches of Earthquake forecasting, Forecast results and their discussion, Earthquake rate estimation, Collaboratory for the Study of Earthquake Predictability (CSEP): Global and regional forecast testing; Industrial Earthquake forecasting RichterX and Quantectum

    The Indian Earthquakes:
    Distribution of Earthquake in and around the Indian plate, Objective estimation of magnitude of completeness, Declustering long term models of earthquakes for Indian earthquakes, Making a long-term probabilistic model for Indian earthquakes

    EH 615

    Materials of Earth’s Deep Interior

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Materials of Earth’s Deep Interior [EH 616]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction to the Earth’s interior:
    Origin of the Solar System: Types of planets, Proto-Sun, planetesimals.
    • Chemical and isotopic composition of meteorites: Types of Meteorites, difference and similarities with Earth composition.
    • Planetary models
    • Hadean Earth: Magma Ocean, Core formation, Atmosphere formation.
    • Internal structure of the Earth and its significance: Overview to Layers of the Earth.
    • Major Seismic discontinuities: Gutenberg, Moho etc.
    Crystal Structure:
    • Crystal Systems and Space Groups: Introduction to Space groups and fundamental crystallography.
    • Symmetry: Crystal symmetry with applications to deep earth.
    • Major minerals in the earth’s interior: Olivines, Pyroxenes, Spinel, Perovskite etc.
    • Phase transitions.
    • Phase diagrams.
    • Experimental techniques in mineral physics: X-ray diffraction and Spectroscopy.
    • Introduction to synchrotron sources
    • Theoretical techniques and their applications: Density functional theory and its applications to Earth sciences.
    • Equations of State: Birch Murnaghan, Vinet, Mie-Grüneisen.
    • Thermodynamics and its applications in geophysics: Laws of thermodynamics, Grüneisen parameter and its importance.
    Mantle:
    • Composition of the upper and lower mantle: Composition of the Early Mantle and its evolution.
    • Heat Flow: Fundamentals of heat-transfer.
    • Geochemical signatures of the mantle.
    • Seismological signatures of the mantle: Heterogeneities, Anisotropy of Mantle.
    • Elastic constants, Hooke’s Law: Fundamentals of Elasticity; Elastic tensor.
    • Elastic moduli and their applications: Calculation and experimental techniques for determination of elastic constants.
    • Elastic anisotropy
    • Pressure and temperature profile of the mantle: Geothermal gradient, Adiabats, Isentropes.
    • Constraints and uncertainties on the mantle temperatures.
    • Rheology: Determination of viscosity; rheological Models.

    EH 616

    Engineering Graphics

    Credit
    L | T | P | C
    2 | 0 | 3 | 3

    Course Content

    Engineering Graphics

    [ES 101]

    Credit
    L | T | P | C
    2 | 0 | 3 | 3

    Introduction to the engineering design process and the importance of technical Graphics/Drawings; Integrated design and 3D modelling, visualization - sketching & computer aided drawing, geometrics - geometry construction, shape description, multi- view drawings - orthographic projection, isometric views, axonometric projections, auxiliary & section views; Dimensioning; Assembly drawings.

    ES 101

    Introduction to Electrical Systems

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Introduction to Electrical Systems [ES 103]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Circuit elements – active, passive, time-variant, time-invariant, linear, non-linear, unilateral, bilateral; Sources – independent and dependent; Electric circuit and analysis – Ohm’s law, Kirchhoff’s laws, loop and node analyses, limitations of lumped circuit analysis; Network theorems – Superposition, Thevenin, Norton, Maximum power transfer; Natural and forced responses to DC excitation – RL, RC and RLC circuits; Sinusoidal steady state analysis; Polyphase circuits. Magnetic field – Biot-Savart law, Ampere’s circuital law, Faraday’s laws, Lenz law; Magnetic materials, characteristics, losses, coupled circuits. Transformers – single phase and three phase transformers, auto-transformers. Electro-mechanical energy conversion systems – DC generator and DC motor; AC Machines – synchronous generator and motor, three phase and single phase induction motors; Stepper motor. Power system - generation, transmission, distribution, costing of electricity.

    ES 103

    Introduction to Analog and Digital Electronics

    Credit
    L | T | P | C
    3 | 2 | 0 | 4

    Course Content

    Introduction to Analog and Digital Electronics [ES 104]

    Credit
    L | T | P | C
    3 | 2 | 0 | 4

    Introduction to signals and spectra, analog and digital signals, basic amplifier characterization, frequency characteristics and Bode plots; Ideal operational amplifiers, inverting and no-inverting amplifier circuits, instrumentation amplifier, integrators, differentiators; effects of finite (frequency dependent) gain, DC imperfections, and slew rate on performance; terminal characteristics of ideal and practical diodes, rectifiers, limiters and clampers, voltage doublers, Zener diodes; terminal characteristics of MOSFETs and BJTs; biasing, small signal analysis, simple amplifier circuits; basic feedback theory, simple oscillators; number systems; Boolean algebra and logic gates, minimization with Karnaugh maps; adders, comparators, decoders, encoders, multiplexers; sequential circuits – basic flip-flops, asynchronous and synchronous counters, registers; programmable devices – PLA, PAL and ROM; Memories.

    ES 104

    Electrical and Electronics Lab

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Course Content

    Electrical and Electronics Lab [ES 105]

    Credit
    L | T | P | C
    0 | 0 | 4 | 2

    Frequency response of RLC circuits; Power factor improvement; Power measurement in balanced and unbalanced three phase circuits; Modeling the magnetic system by an equivalent electric circuit; Performance of single phase induction motor; Speed control of stepper motor. Diode clipper, clamper and rectifier circuits; Transistor amplifier and oscillator; Operational amplifier circuits; Combinational digital circuits; Sequential digital circuits.

    ES 105

    Manufacturing and Workshop Practice

    Credit
    L | T | P | C
    2 | 0 | 3 | 4

    Course Content

    Manufacturing and Workshop Practice [ES 106]

    Credit
    L | T | P | C
    2 | 0 | 3 | 4

    Introduction to Manufacturing; Historical perspective; Importance of manufacturing; Classification of manufacturing processes, Engineering materials; Woodwork; Fitting Basics of Casting, Metal Forming; Basic concepts of plastic deformation; Hot & cold working; Common bulk deformation processes (Rolling, Forging, Extrusion and Drawing); Common sheet metal forming processes; Machining; Chip formation and generation of machined surfaces; Tools - geometry, materials, Common machining operations (turning, milling drilling ,shaping etc). Grinding & other Finishing processes; Introduction to unconventional machining processes (EDM, ECM, UCM, CHM, LBM) etc., Welding & Other Joining Processes, Fundamentals & classification of Joining processes, Welding, Brazing and Soldering, Adhesive bonding, Mechanical fastening, Principles of heat treating; annealing, normalizing, hardening and tempering, Manufacturing of Polymer and Powder Products, Classification of polymers, Introduction to extrusion, injection molding, blow molding, compression and transfer molding; Powders & Green compacts from powders including slip casting of ceramics; Sintering; Manufacturing for Electronics; Special Processes like Chemical Vapor Deposition, Etching, Physical Vapour Deposition; Modern Trends in Manufacturing.

    ES 106

    Computing

    Credit
    L | T | P | C
    2 | 0 | 2 | 3

    Course Content

    Computing [ES 112]

    Credit
    L | T | P | C
    2 | 0 | 2 | 3

    1. Elementary Programming Techniques

    • Building familiarity with instruction driven task completion using Scratch or CS Unplugged.
    • Von Neumann architecture, the translation process for a program (Source code -> Interpreter/Compiler ->  Machine code)
    • Expressions: values or literals, combining values using operators, basic types (int, float, str, bool); type conversion; lazy evaluation for Boolean operators.
    • Functions (scope), examples from math and random; writing your own simple functions that do not require control flow; (e.g, “celsius_to_fahrenheit”)
    • Program development lifecycle (edit, test, debug; libraries such as pytest, simple_benchmark; and tools such as flake8)
    • Control flow: conditionals (if-else, match); loops (while, for).

    2. Advanced Data Types

    • Tuples: construction, unpacking.
    • Lists: construction (+ comprehensions), indexing, slicing.
    • Sets: construction, selection, set operations.
    • Dictionaries: construction, indexing, update, merging.
    • Complex data (dictionaries of lists to lists etc.); frozenset, frozendict.
    • Objects and Classes
    • Exceptions: try-catch-finally, writing your own exceptions.

    3. Advanced Programming Techniques

    • Recursion (basic examples such as Fibonacci and Towers of Hanoi)
    • Functions as values (functools)
    • Iterators and generators (itertools, more-itertools)

    4. Programming in the Large

    • Modules: code organization
    • Selection of python modules (e.g, re, numpy, scipy, beautifulsoup, flask, etc).

    ES 112

    Computing

    Credit
    L | T | P | C
    1.5 | 0 | 1.5 | 3

    Course Content

    Computing [ES 113]

    Credit
    L | T | P | C
    1.5 | 0 | 1.5 | 3

    Algorithms for processing data: Understanding time complexity – Asymptotics (big-O notation and examples); Storing sequential data: arrays and linked lists, data structures for storing tabular data; Organizing data and finding items – Searching (linear/binary search), Sorting – sorting almost sorted data (bubble sort, insertion sort), fast sorting in the worst-case (heapsort), using randomization to sort faster (quicksort), sorting without random-access ex. linked-lists (mergesort); Data Analysis: Tools - Spreadsheets (Excel/Google Sheet/Calc); data manipulation specific Python libraries e.g. Pandas; introduction to SQL; Answering queries over tabular data: map-filter-reduce, joins and unions. Using vectorized operations for efficiency. Techniques: Data structuring (tidy data) and cleaning (dealing with multiple labels for the same data, missing data) Summarizing data (averages, variance, moments), functions of tables (loading, cleaning, normalizing); Visualizing data introduction to matplotlib; plotting various statistics; categorical distributions, numerical distributions, overlaid graphs; Deriving Conclusions: Anomaly detection techniques in data: tests e.g. GRIM test, Benford’s law; Statistical traps: Correlation vs causation, Base-rate fallacy / prosecutor's fallacy. Simpson's paradox. Data censoring; Will Rogers effect, lead-time bias, and length time bias. Means versus medians. Importance of higher moments. Misleading visualizations; Making Predictions: Linear regression; basics of classification (train, test, validation); creating features; naive Bayes classification, logistic regression and its interpretation; introduction to clustering (k-means). Confidence in predictions: prediction intervals, confidence intervals.

    ES 113

    Computing

    Credit
    L | T | P | C
    1.5 | 0 | 1.5 | 3

    Course Content

    Computing [ES 114]

    Credit
    L | T | P | C
    1.5 | 0 | 1.5 | 3

    Computational Tools: Statistical Data Analysis using Python/R, Introduction to Relevant Libraries ; Basic Probability: Set Theory and Probability Spaces, Axioms, Probability Assignment for Discrete and Continuous Spaces, Combinatorics, Conditional Probability, Independence, Mutual Exclusiveness, Law of Total Probability, Bayes Rule, Examples ; Random Variables: Discrete and Continuous Random Variables, Probability Mass Function (PMF), Probability Density Function (PDF), Transformation (Function) of Random Variable, Cumulative Distribution Function (CDF), Moments, Characteristic Function, Examples of Random Variables, Applications; Two Random Variables and Random Vectors:
    Joint PMF and PDF, Conditional PMF and PDF, Joint and Conditional Moments, Joint Characteristic Function, Covariance and Correlation Coefficient, Covariance Matrix, Dependence and Correlation, Transformation, Examples and Applications ; Statistical Inference: Confidence Interval, Hypothesis Testing - Critical Value test, p-Value test, Z-test, and t-test, Neyman-Pearson Test, Receiver Operating Characteristic (ROC) and Precision-Recall (P-R) curves, Applications ; From Data to Visualization: Data - Numbers, Strings, Sequences, Tables, Functions on Tables, Visualization - Categorical Distributions, Numerical Distributions, Overlaid Graphs. Statistical Visualization - Line Charts, Bar Charts, Contour Plots Spatial data visualization, network visualizations using Python libraries, visualizing probability distributions. Interactive Visualization - Curve Fitting, Regression, Clustering, Linear and Non-Linear Classification. Dimensionality Reduction (e.g. n-D to 2-D) - Principal Component Analysis (PCA) and t-Distributed Stochastic Neighbor Embedding (t-SNE). Examples and Applications in various engineering disciplines.

    ES 114

    Design, Innovation, and Prototyping

    Credit
    L | T | P | C
    1.5 | 0 | 3 | 5

    Course Content

    Design, Innovation, and Prototyping [ES 115]

    Credit
    L | T | P | C
    1.5 | 0 | 3 | 5

    Design: Introduction design process as a strategic problem-solving process, Drivers of innovation, Industrial design; Methods of data collection, Synthesizing, analyzing, and representing the data; Making a good brief; Craftsmanship/ techno-aesthetic detailing; Human factors, Applied ergonomics; Nature inspired design, Responsible design, Nuances of design; Innovation: Theory of inventive problem solving: Double diamond process, lateral thinking; Creativity models and tools used to push the boundaries: mind maps/ fishbone diagrams, brainstorming techniques, double diamond process; Prototyping: Freehand sketch, Overview of 3D solid modeling (CAD), 3D scanning using laser scanners; 3D Printing: Fused deposition modeling, stereolithography; Familiarization with machining processes: Centering, drilling, and milling using tabletop reconfigurable CNC machines; Casting, molding, and vacuum forming; Wood crafting: wood turning and joint making, laser cutting; Electronics prototyping: PCB milling and soldering; Familiarization with joining processes: adhesives, riveting, and fasteners; Familiarization with finishing processes: abrasive grinding, sand blasting, painting; Power tools in fabrication.

    ES 115

    Introduction to Design and Innovation

    Credit
    L | T | P | C
    2 | 0 | 4 | 4

    Course Content

    Introduction to Design and Innovation [ES 201]

    Credit
    L | T | P | C
    2 | 0 | 4 | 4

    Understanding of the design process that underlies any design undertaking; Concept of ideal design, conceptualizing product, visualization, preliminary estimates, material selection, engineering economics, ergonomics and aesthetics; Other aspects of design such as risk and liability, ethics, and impact on society and the environment.

    ES 201

    Introduction to Materials

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Introduction to Materials [ES 202]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction to materials and their classification, Atomic bonding and Crystal Structures, Imperfections and strengthening mechanisms, Diffusion – steady and nonsteady state, Corrosion and degradation of materials, Properties and applications: Mechanical, Thermal, Electrical, Magnetic, Electronic, Biological, Chemical. These topics will be interspersed with several case studies and in-class experiments/demonstrations.

    ES 202

    Digital Systems

    Credit
    L | T | P | C
    2 | 1 | 3 | 4

    Course Content

    Digital Systems [ES 203]

    Credit
    L | T | P | C
    2 | 1 | 3 | 4

    Review of Combinational and Sequential logic: Logic minimization, multi-level circuits, decoders, encoders, multiplexers, demultiplexers; Combinational logic: Shannon’s decomposition theorem, Comparator design, Multiplier design, Timing in combinational circuits, Static and Dynamic hazards digital circuits; Sequential logic: Timing in flip-flops and registers, metastability; Finite state machine: Design and analysis of synchronous Mealy and Moore FSMs, Asynchronous FSMs; Basics of memory organization; Introduction to Verilog and VHDL, Basic constructs in Verilog, Implementing combinational circuits and FSMs using Verilog;  Case study: A simple computer design.

    ES 203

    Thermodynamics

    Credit
    L | T | P | C
    3 | 2 | 0 | 4

    Course Content

    Thermodynamics [ES 211]

    Credit
    L | T | P | C
    3 | 2 | 0 | 4

    Concept of System and Surrounding, Closed/Open Systems, Processes and Cycles; Property of Pure Substances; Property Diagrams, Property Table; Ideal gas law; First Law of Thermodynamics, Work and Heat. Reversible and Irreversible Processes;Entropy and the Second Law of Thermodynamics; Heat Engine, Efficiencies, Carnot Cycle; Entropy change of pure substances, T-s diagram and Relations, Entropy balance for systems; Rankine, Otto, Brayton Cycle; Thermodynamic properties of fluids; Application of thermodynamics to flow processes (turbines, ducts, compressors); Production of power from heat (Steam power plant; Internal Combustion Engines);Refrigeration and Liquefaction.

    ES 211

    Fluid Mechanics

    Credit
    L | T | P | C
    3 | 2 | 0 | 4

    Course Content

    Fluid Mechanics [ES 212]

    Credit
    L | T | P | C
    3 | 2 | 0 | 4

    Introduction to fluids, Continuum approximation, Knudsen number, properties of fluids, Fluid statics, Description of flows, Deformation of fluid elements, vorticity and irrotational flows, Reynolds’ transport theorem, Conservation of mass, Linear Momentum balance, Navier-Stokes’(NS) equation, Bernoulli equation and applications including flow measurement, Similitude and modeling, Non-dimensionalisation of NS equations, Importance of Reynolds number (Re), High Re flow: Prandtl’s approximation, basic inviscid flow, elementary plane flows and their superposition, Magnus effect, Boundary layers- elementary results for flat plates, Boundary Layer Solutions, Notion of Flow Separation. Momentum integral equation. Displacement and Momentum Thickness. Laminar and Turbulent Boundary Layers. Power Laws. Skin friction coefficient and drag estimation. Skin friction lines on surfaces. Flow through packed beds and fluidized beds; Transportation and metering of fluids, pump types, pump curves, blowers and compressors; Mixing and Agitation, power consumption, impeller types and flow patterns, mixing times.

    ES 212

    Discrete Mathematics

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Discrete Mathematics [ES 214]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Set, relations, equivalence relations, functions, countable and uncountable sets, Cantor’s diagonalization; Logic and Proofs, propositional logic, predicates and quantifiers, rules of inferences, proof techniques; Mathematical induction; Counting, permutations, combinations; Basic Discrete Probability; Elementary number theory, GCD, Euclid’s algorithm, Finite fields of prime order and application to hashing; Graph Theory, basic definitions, connectivity, tree, planarity, graph coloring; Pigeonhole principle, Ramsey theory; Inclusion-Exclusion; Basic group theory, Lagrange’s theorem, Euler’s theorem, application to RSA; Polynomial rings, finite field constructions and secret sharing.

    ES 214

    Computer Organization and Architecture

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Computer Organization and Architecture [ES 215]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Introduction to Computer Organization; Introduction to Instruction Set Architecture (ISA); RISC vs. CISC; Performance Metrics; Instruction Representation in Computers; Addressing Modes; Computer Arithmetic; Introduction to Assembly Programming; Processor Architecture; Pipelining Basics, In-Order and Out-of-Order pipelines; Data and Control Hazards; Exception Handling; Cache Basics; Cache Hierarchies; Cache Coherence; Virtual Memory; Memory Hierarchy; Multiprocessor Systems; SMT (Simultaneous Multi-Threading); SIMD/MIMD (Single/Multiple Instruction Multiple Data), GPUs; Synchronization and Consistency; Storage and I/O; Disks and Flash Memory; Performance Benchmarking; Warehouse Scale Computing.

    ES 215

    Signals, Systems and Networks

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Signals, Systems and Networks [ES 216]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Motivation and Basic Preliminaries of Signals and Systems; classification of signals in continuous and discrete cases, Basic signals — unit impulse, unit ramp, exponential (real and complex) functions, significance of basic signals; basic operations on signals; classifications of systems — concepts of linearity, causality, stability, time-invariance, convolution of CT and DT signals and systems; differential and difference equations, Fourier-domain analysis of CT and DT for periodic and aperiodic signals and systems — CTFS, CTFT, DTFS and DTFT and interrelations amongst them; Laplace transform; Introduction to Sampling and Z-transform; Elements of graph theory - incidence matrix, loop matrix, cut-set matrix, circuit analysis, twoport networks.

    ES 216

    Mechanics of Solids

    Credit
    L | T | P | C
    3 | 2 | 0 | 5

    Course Content

    Mechanics of Solids [ES 221]

    Credit
    L | T | P | C
    3 | 2 | 0 | 5

    Free body diagram, Modeling of supports, Conditions for Equilibrium, Friction Force- deformation relationship and geometric compatibility (for small deformations) with illustrations through simple problems on axially loaded members and thin walled pressure vessels, Axial force, shear force, bending moment, and twisting moment diagrams of slender members, Concept of stress and strain at a point, Transformation of stresses and strain at a point, Principal stresses and strains, Mohr’s circle (only for plane stress and strain case), Displacement field, Strain Rosette, Modeling of problem as a plane stress or plane strain problem, Discussion of experimental results on 1-D material behavior. Concepts of elasticity, plasticity, strain-hardening, failure (fracture/yielding), idealization of 1-D stress-strain curve, Concepts of isotropy, orthotropy, anisotropy, Generalized Hooke’s law, (without and with thermal strains), Notions of elasticity, Torsion of circular shafts and thin-walled tubes, Bending of beams with symmetric cross-section (normal and shear stresses),Combined stresses, Yield criteria, Deflection due to bending, Integration of the moment-curvature relationship for simple boundary conditions, Super position principle, Concepts of strain energy and complementary strain energy for simple structural elements (those under axial load, shear force, bending moment, and torsion), Castigliano’s theorems for deflection analysis and indeterminate problems, Concept of elastic instability and a brief introduction to column buckling and Euler’s formula.

    ES 221

    Data Structures and Algorithms I

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    2 | 0 | 2 | 3

    Course Content

    Data Structures and Algorithms I [ES 242]

    Credit
    L | T | P | C
    2 | 0 | 2 | 3

    C/C++: Arrays, Pointers and Structures, Multidimensional Arrays, Dynamic memory allocation. Quicksort, Mergesort, Heapsort; Basic notions of asymptotics, Stacks, Simulation of Recursive algorithms using stacks; Queues, Priority queues; Linked lists; Trees. Binary trees, Node representation, Tree traversals. Binary search, Binary search trees; Graphs; Adjacency matrix, adjacency list representation, Depth first search, Breadth first search; Minimum Spanning Tree, Single Source Shortest Path.

    ES 242

    Data Structures and Algorithms II

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Data Structures and Algorithms II [ES 301]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Asymptotic notation (review); Recurrences; Divide and conquer : Quick sort, Merge sort, Linear-time Median finding, Strassen's matrix multiplication, Closest Pair; Greedy and Dynamic Programming, Graph Algorithms : Network flows and applications; Introduction to complexity classes; NP-completeness reductions; Number-theoretic Algorithm; Intermediate data structures: Height balanced trees, Amortized Analysis. Optional specialized topics: String algorithms, randomized algorithms (like min-cut) other models of analysis such as streaming/online/dynamic. Linear Programming. Dealing with intractability: Approximation Algorithms, Exact Algorithms etc.

    ES 301

    Heat and Mass Transfer

    Credit
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    3 | 1 | 0 | 4

    Course Content

    Heat and Mass Transfer [ES 311]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Basic Concepts of Heat Transfer: Modes and laws of heat transfer, Conduction, heat transfer through extended surfaces, concept of resistance, Convection, boundary layer, heat transfer coefficient, overall heat transfer coefficient, LMTD; forced convection; natural convection; boiling and condensation; radiation; Heat Exchangers: Classifications and applications of heat exchangers, fouling factor, basic concepts of heat exchanger design, Kern method, NTU methods, design considerations for heat exchangers; Diffusion; Interphase mass transfer: theories of interphase mass transfer, local and overall mass transfer coefficients, correlations; analogy between momentum, heat and mass transfer;

    ES 311

    Dynamics And Vibrations

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    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Dynamics And Vibrations [ES 321]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Newtonian dynamics of a particle, systems of particles and of a rigid body; Force, torque, impulse, momentum, angular momentum, energy, and vibrations; Two-dimensional rigid-body kinematics including motion relative to a moving frame; Brief introduction to three dimensional rigid-body dynamics; Single degree of freedom system; Free and forced vibrations (harmonic and general), types of damping; Duhamel’s integration; Two degree of freedom system; Modal analysis, diagonalisation, eigensystem, response calculations for general excitation, proportional damping; Principle of virtual work, Lagrange’s equations.

    ES 321

    Probability and Random Processes

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    3 | 1 | 0 | 4

    Course Content

    Probability and Random Processes [ES 331]

    Credit
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    3 | 1 | 0 | 4

    Review of sets, fields and events, axioms of probability, probability space, conditional probability, independence, Bayes’ theorem and applications; repeated trials, Bernoulli trials; discrete, continuous and mixed random variables, probability mass function, probability distribution and density functions; examples of common random variables and density functions; conditional distributions and densities; functions of one and two random variables; moments and characteristic functions of random variables, mean, variance, correlation; Markov, Chebychev and Chernoff bounds; sequences of random variables, strong and weak law of large numbers, central limit theorem; linear mean square estimation and orthogonality principle; maximum likelihood and parameter estimation. Random processes, strict and wide sense stationary processes; ergodic processes; bandlimited and periodic processes; random processes and linear systems; power spectral density; noise processes; Wiener filtering; Kalman filtering; examples of random processes, Poisson process, Markov process.

    ES 331

    Control Theory

    Credit
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    3 | 1 | 0 | 4

    Course Content

    Control Theory [ES 332]

    Credit
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    3 | 1 | 0 | 4

    Basic concepts: Notion of feedback; open- and closed-loop systems. Modeling and representations of control systems: Ordinary differential equations; Transfer functions; Block diagrams; Signal flow graphs; State-space representations, Performance and stability: Time- domain analysis; Second-order systems; Characteristic-equation and roots; Routh-Hurwitz criteria, Frequency domain techniques: Root-locus methods; Frequency responses; Bode-plots; Gain-margin and phase-margin; Nyquist plots; Compensator design: Proportional, PI and PID controllers; Lead-lag compensators. State-space concepts: Controllability; Observability; pole placement result; Minimal representations.

    ES 332

    Microprocessors and Embedded Systems

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    2 | 1 | 2 | 4

    Course Content

    Microprocessors and Embedded Systems [ES 333]

    Credit
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    2 | 1 | 2 | 4

    Review of simple computer design; Brief comparison of RISC and CISC architectures, concepts of pipelining and hazards, memory; ARM Processor overview, architecture, instruction set, assembly/C language programming Memory/Peripheral bus, Interrupts, Direct Memory access (DMA), Digital I/Os; Peripheral interfacing – Timers, Universal asynchronous-synchronous transfer (UART), Serial peripheral interface (SPI), Inter-integrated circuit (I2C), Interfacing ADC/DAC (analog to digital converter and digital to analog converter)

    ES 333

    Interface Design

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    2 | 0 | 3 | 4

    Course Content

    Interface Design [ES 334]

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    2 | 0 | 3 | 4

    · Introduction: Evolution of interfaces, Nuances of interfaces, Man machine interaction diagram · Effective Communication: Intent of communication, Modes of presentation(language.gesture.signs), Mental processes, Communication gaps, Emotional and Cultural aspects of communication · Elements of interfaces: Types of controls, Types of displays, Gesture control, Role of sensors, Light and sound, emergency and warning signs · Applied ergonomics: Physical (hand reach, RSIs), Cognitive aspects, Organizational · Principles of visual ergonomics: Visual hierarchy, Grouping, Color coding, Placement and orientation · Methodology: User persona, Scenario building, Opportunity mapping, Information management, prototyping and testing of interfaces

    ES 334

    Introduction to Fire Engineering

    Credit
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    2 | 0 | 0 | 4

    Course Content

    Introduction to Fire Engineering [ES 403]

    Credit
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    2 | 0 | 0 | 4

    Introduction – Different kinds of Fire and classifications; Fire Science – The Basic Principles; The Fundamental elements of Fire Protection Engineering; Building Materials and Design; Water Supply for Fire Protection; Fire Extinguishing Systems; Fire Alarm System; Special Occupancies and Hazards; Occupancies Hazard Classification System; Fire Flow Demand for Unsprinklered Facilities; Performance Based Fire Safety Design; Codes and Regulations

    ES 403

    Networks and Complex Systems

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    3 | 0 | 0 | 4

    Course Content

    Networks and Complex Systems [ES 404]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction to networks, empirical study of real world networks: Social networks, Technological Networks, Biological networks, Neural Networks, and Information networks; Basic concepts in graph theory, Network representation, Adjacency matrix and edge lists, weighted networks, directed networks, bipartite networks, planar networks, degree, paths and connectivity, graph Laplacian; Characterization of and measures on networks, degree centrality, degree distribution, Katz centrality, hubs and authorities, between-ness centrality, clustering coefficient, Modularity, homophily and assortative mixing. Analytical and computational tools in networks; Representation of network with gephi software package. Random networks, properties of random networks; Small world networks: Watts-Stogartz model, properties and real world examples; Scale free networks: Barabasi-Albert model, theoretical approaches, characteristics of power law behavior in scale free networks. Examples from citation network, cellular network, internet etc. Dynamical processes on networks, microscopic approaches to dynamical phenomena, master equation, mean field solutions; Disease spreading on networks, Basic compartmental models like: SIS, SIR and SEIR. Epidemics spreading on static and adaptive networks, with examples from SARS and H1N1; Sexual contact networks and HIV. Resilience and robustness of networks, Percolation phenomena and phase transitions, percolation on complex networks; damage and resilience in networks, coupled networks and targeted attacks, cascading failures in network.

    ES 404

    Mechatronics

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    3 | 0 | 0 | 4

    Course Content

    Mechatronics [ES 408]

    Credit
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    3 | 0 | 0 | 4

    Elements of Mechatronics systems: overview of Instrumentation, Electromechanical, and Information Systems. Actuators: Mechanical, Electromechanical, Electrical, Fluid power and Thermal systems; Characteristics, study and analysis in time and frequency domains. Sensors and Transducers: characteristics, design and applications; Signal conditioning, A/D, D/A conversions. Miniaturization: Micromachining and fabrication processes, Introduction to MEMS and MOEMS, Technology and Applications. Industrial Data Networks: Inter-device communications and Data logging. Systems and Controllers: Process Controllers, Programmable Logic Controllers, DCS, SCADA, and CNC Systems; Introduction to Computer Integrated Manufacturing.

    ES 408

    Introduction to Inverse Modelling in Physical Sciences

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    3 | 0 | 0 | 4

    Course Content

    Introduction to Inverse Modelling in Physical Sciences [ES 410]

    Credit
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    3 | 0 | 0 | 4

    Review: Mathematical prerequisites; Nature of mathematical modeling in physical sciences; Classification of inverse problems: discrete (parameter estimation) and continuous inverse problems. Discretizing continuous inverse problems using basis functions. ; Nature of ill-posed problems. Examples of ill-posed problems in physical sciences ; Inverse solutions using least squares methods. Rank deficiency and ill-conditioning: Singular Value Decomposition and generalized inverse; covariance and resolution of the generalized inverse solution. Minimum norm inverse solutions. model resolution and information density matrices. ; Tikhonov regularization: resolution, bias and uncertainty in solution, discrepancy method. Higher order Tikhonov regularization-Other regularization techniques: Sparsity regularization, bounds constraints; Fourier techniques: regularization in Fourier space. ; Stochastic inverse theory, Bayesian inverse theory: multivariate normal case, Markov Chain Monte Carlo methods, Analyzing MCMC outputs. Using stochastic methods for identifying a host of acceptable models. ; Nonlinear inverse modeling: Occam's inversion.

    ES 410

    Topics in Complexity Science

    Credit
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    3 | 0 | 1 | 4

    Course Content

    Topics in Complexity Science [ES 411]

    Credit
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    3 | 0 | 1 | 4

    Introduction to complexity, information theory, complexity measures and scale. Discrete-time and continuous-time dynamical Systems, bifurcations and chaos. Agent based modeling and cellular automata. Network science - social network analysis: network Generation, networks and behavior. Fundamentals of game theory. Simulation and networks labs.

    ES 411

    Optical Fiber Communication

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Optical Fiber Communication [ES 412]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Overview of optical communications; Planar optical wave guides, modes and the eigenvalue equation, single-mode and multimode fiber; Group  velocity and material dispersion, inter-modal and intra-modal dispersion, attenuation, pulse dispersion, fiber bandwidth, dispersion management; wavelength division multiplexing (WDM) concepts, Signal degradation, attenuation, dispersion and its compensation; Optical sources, semiconductor lasers and light emitting diodes, structure, spectral and temporal properties, modulation schemes; Photo-detectors, structure, operation, quantum efficiency, responsivity, spectral and temporal response; Detection schemes, coherent and non-coherent detection, performance analysis; WDM components, splitters, isolators, circulators, fiber Bragg gratings (FBG), Fabry-Perot and thin-film filters; Optical amplifiers, erbium doped fiber amplifiers

    ES 412

    Deep Learning

    Credit
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    3 | 1 | 0 | 4

    Course Content

    Deep Learning [ES 413]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Basic properties of light and classical treatment of light-matter interaction; origin of refractive index, absorption, dispersion; basic optical phenomena - interference, diffraction, birefringence;
    Generation of light: basic operation of light-emitting diodes and lasers; Lab demonstrations of important temporal and spectral properties of these sources
    Controlling the properties of light to convey information; modulation of intensity, phase and polarization; electro-optic modulators, acousto-optic modulators, polarizers; splitters, combiners, multiplexers;
    Propagation of light through dielectric waveguide structures – conventional and unconventional optical fiber; rectangular waveguide structures; metal-dielectric waveguides;
    Detection of light: p-i-n photodiodes, avalanche photodiodes; quantum efficiency, responsivity, spectral and temporal response
    Applications in engineering and science such as optical fiber communication, optical sensing of physical quantities (displacement, speed, strain, vibration, temperature) and chemicals (high-resolution molecular spectroscopy to identify different gases), plasmonics, biophotonics, imaging, light detection and ranging (LIDAR) as used in distributed sensing and autonomous cars. Lab demonstrations of sensing displacement, vibration, temperature and gas leaks

    ES 413

    Introduction to Photonics

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Course Content

    Introduction to Photonics [ES 414]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Basic properties of light and classical treatment of light-matter interaction; origin of refractive index, absorption, dispersion; basic optical phenomena - interference, diffraction, birefringence;
    Generation of light: basic operation of light-emitting diodes and lasers; Lab demonstrations of important temporal and spectral properties of these sources
    Controlling the properties of light to convey information; modulation of intensity, phase and polarization; electro-optic modulators, acousto-optic modulators, polarizers; splitters, combiners, multiplexers;
    Propagation of light through dielectric waveguide structures – conventional and unconventional optical fiber; rectangular waveguide structures; metal-dielectric waveguides;
    Detection of light: p-i-n photodiodes, avalanche photodiodes; quantum efficiency, responsivity, spectral and temporal response
    Applications in engineering and science such as optical fiber communication, optical sensing of physical quantities (displacement, speed, strain, vibration, temperature) and chemicals (high-resolution molecular spectroscopy to identify different gases), plasmonics, biophotonics, imaging, light detection and ranging (LIDAR) as used in distributed sensing and autonomous cars. Lab demonstrations of sensing displacement, vibration, temperature and gas leaks

    ES 414

    Nature-inspired Materials Design

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Nature-inspired Materials Design [ES 415]

    Credit
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    3 | 0 | 0 | 4

    I. Preliminaries of biomimetic materials
    - Principles of biomimicry from the fields of biology, engineering and design
    - Processing and characterization of Biomimetic materials
    - Models and simulations of structure-property relationships in biomimetics

    II. Strong, tough and lightweight materials
    - Strengthening and toughening mechanisms inspired by spider silk, nacre and hard tissues
    - Applications in design of nature-inspired composites with superior mechanical properties

    III. Wear and impact-resistant materials
    - Structure and design inspiration from hard and wear resistant materials such as teeth, bones, and horns
    - Nano-scale mechanisms of wear and impact resistance

    IV. Self-shaping and self-healing materials
    - Reversible/switchable properties such as stiffness, strength and shape inspired by sea cucumber and squid beak
    - Self-healing properties from plants and tree-bark inspiring vascular networks
    - Nanocomposites and concretes demonstrating self-shaping and self-healing properties

    V. Self-cleaning materials and surfaces
    - Fundamentals of wettability and self-cleaning
    - Superhydrophobicity (Lotus effect) and self-cleaning dry adhesives inspired by Gecko feet.

    VI. Materials for optical applications
    - Diffraction gratings, reflectors and photonic materials inspired by nature
    - Nature-inspired antireflective surfaces and lenses

    VII. Special manufacturing methods for advanced biomimetic materials

    ES 415

    Engineering Optimization

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Engineering Optimization [ES 604]

    Credit
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    3 | 0 | 0 | 4

    Introduction to Optimization; Formulation of Various Process Optimization Problems and their Classification; Basic Concepts of Optimization-Convex and Concave Functions, Necessary and sufficient conditions for Stationary Points; Optimization of one-dimensional Functions; Unconstrained Multivariable Optimization- Direct Search Methods. Indirect First Order and Second Order Methods; Linear Programming and its Applications; Constrained Multivariable Optimization-Necessary and Sufficient Conditions for Constrained Optimum, Quadratic Programming, Sequential Quadratic Programming; Optimization of Staged and Discrete Processes, Dynamic Optimization, Integer and Mixed Integer Programming. Additional topics such as convexification, Global Optimization, and mixed integer programming will be discussed.

    ES 604

    Computational Neuroscience

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    3 | 0 | 0 | 4

    Course Content

    Computational Neuroscience [ES 606]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Levels of Analysis, Neurons, Electric potential, membrane potential, neural activation function, excitation, inhibition, winner take all, constraint satisfaction, Hebbian learning, principal component analysis, Infomax, MDL, error driven learning, delta rule, backpropagation, sequence and temporally delayed learning, reinforcement learning, large scale brain function, structural and dynamic principles, vision, object recognition, spatial attention models, Hippocampal long term memory models, language processing models, higher level cognition.

    ES 606

    Foundations of Fluid Dynamics

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    3 | 1 | 0 | 4

    Course Content

    Foundations of Fluid Dynamics [ES 607]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    vector calculus, Introduction to tensors. Concept of continuum, Knudsen’s number Kinematics of fluid motion: Eulerian and Langarangian viewpoint. Basic laws: Continuity and momentum equations, Conservation Laws for Transport Processes (Mass. Momentum and Energy), Analysis of Stress in Viscous Fluids and Strain for Fluid Deformation, Constitutive Relation:, Navier-Stokes equations. , Examples of incompressible flow patterns.Vorticity dynamics: vorticity diffusion, intensification by stretching, production of vorticity, Helmholts law, Kelvins theorem. Motion of Vortex Lines, Vortex Filaments and Biot- Savart Law. Potential flow: Streamlines and velocity potential. Boundary layers, concept of boundary layers, displacement and momentum thickness, von Karman momentum integral, approximate methods. Blasius and Falkner-Skan similarity solutions, flow separation, axisymmetric boundary layers, free shear layers, jets. Introduction to turbulent flows, types and characteristics of turbulent flows, energy cascade, Kolmogorov scale, Reynolds decomposition, RANS equation, closure problem.

    ES 607

    Nanoscale device Engineering

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    3 | 0 | 0 | 4

    Course Content

    Nanoscale device Engineering [ES 608]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction to nanotechnology, the size of things, history of nanotechnology, fabrication methods - top-down and bottoms-up, emerging applications of nanotechnology; Physics at the nanoscale, review of electrodynamics, overview of quantum mechanics and statistical mechanics, electrons and photons, wave-particle duality, electron in potential wells, tunneling, scattering of electrons and photons; Semi-classical treatment of light-matter interactions, Electron transport at the nanoscale - Moore’s law and device size scaling, fundamental limits of CMOS technology, field effect transistors, conventional MOSFET, ballistic FETs, FinFETs, single electron transistors, quantum dots photonics at the nanoscale, diffraction limit of light, optoelectronic integration, photonic crystals, surface plasmons, metamaterials, nanoantenna and optical circuits, enhanced light-matter interaction with nanoantennae; applications in sensors, energy harvesting, information processing, quantum computing.

    ES 608

    Artificial Intelligence

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Artificial Intelligence [ES 612]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Task Environment and its properties; Artificial Agent; Uninformed Search Strategies; Different types of Local Searches; Game Playing Theory; Propositional Logic and Inference Rules; Planning; Regression Planning; Planning in Real World; Decision Theory under Uncertainty; Machine Learning Techniques.

    ES 612

    Fundamentals of Artificial Intelligence

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Fundamentals of Artificial Intelligence [ES 612A]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Artificial Agent; Uninformed and Heuristic Search Strategies; Different types of Local Searches; Game Playing Theory; Planning, Knowledge representation using Logic and Rules; Bayes’ Theorem and Bayesian Networks; Connectionist models; Perception and Action to build Artificial Agents.

    ES 612A

    Modern Control Theory

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Modern Control Theory [ES 613]

    Credit
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    3 | 0 | 0 | 4

    Introduction to linear algebra, (Matrices, differential equations and states), linear time invariant systems and its solutions, mulitivariate systems introduction, state space analysis of continuous systems, controllability, observability, stability with respect to state space analysis, Conversion between transfer function and state space models, Lyapnov theorem for stability, full state back control design, pole placement and control, overview of important concepts in stochastic data analysis, Kalman filters for state estimation, Discussion on Kalman filter as Best Linear Unbiased Estimate (BLUE), Introduction to Model predictive control (MPC) for linear systems with emphasis on linear quadratic control; Advanced topics based on Time criteria: Case studies with emphasis on use of Kalman filters with MPC for state estimation and control.

    ES 613

    Nature Inspired Computing

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Nature Inspired Computing [ES 615]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction to neural networks, perceptrons, adaptive learning principles, multi-layer perceptrons (MLP), back propagation algorithm, radial basis function (RBF) networks, K- means clustering, functional link artificial neural networks (FLANN), Legendre neural networks, Chebyshev neural networks, support vector machines, Hebbian and Hopfield learning; Fuzzy Computing, fuzzy sets, membership functions, fuzzy rules, adaptive neuro-fuzzy inference systems (ANFIS); Introduction to single and multi-objective evolutionary algorithms, genetic algorithm (GA), binary and real coded GA, differential evolution (DE), types of DE, ant colony optimization (ACO) algorithm, particle swarm optimization (PSO) algorithm, variants of PSO, multi-objective GAs, non-sorting genetic algorithm-II (NSGA-II); Engineering applications of nature inspired computing, evolutionary robotics – an overview.

    ES 615

    Digital Control Systems

    Credit
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    3 | 1 | 0 | 4

    Course Content

    Digital Control Systems [ES 616]

    Credit
    L | T | P | C
    3 | 1 | 0 | 4

    Signal processing in digital control — Sampling, time and frequency domain description, Reconstruction; Modelling by difference equations and pulse Transfer function; Time response analysis of discrete time systems; Stability of Discrete time systems; Jury's stability test; State space models; Controllability and Observability; Lyapunov method of stability analysis, Lyapunov functions; Review of compensator design, digital compensator design using frequency response plots; Digital PID controller; Finite settling time design; Dead beat systems and inter-sample behaviour; State space approach for digital controller design — pole placement, output and state feedback, observer-based design — full order and reduced order; Dead beat controllers; Mechanization of control algorithms — Real time implementation of digital controllers.

    ES 616

    Design of Experiments

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Design of Experiments [ES 617]

    Credit
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    3 | 0 | 0 | 4

    Fundamentals: Fundamentals of statistics, introduction to probability, hypothesis testing; Design and analysis with Factorial structures & complete randomization: randomization, one factor at a time testing, factorial experiments in completely randomized design, Analysis of completely randomized design, ANOVA, Fractional factorial experiments and analysis; Design and analysis with random effects & special designs: Controlling experimental variability, two level and three level factorial experiments, analysis of experiments with random levels; Data analysis, regression and model assessment: Least square estimation, statistical significance of least squares, regression with multiple variables and covariates.

    ES 617

    Advanced Solid Mechanics

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Advanced Solid Mechanics [ES 621]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Stress Analysis: Theory of stress, equilibrium equations, principal stresses and stress invariants. Analysis of Deformation: Lagrangian and Eulerian description, finite strain, small deformation theory, principal strains and strain invariants, compatibility conditions. Constitutive Theory: Generalized Hook’s law, linear elasticity relations, constitutive relations for orthotropic and anisotropic materials yield criteria, plastic potential and flow-rule. Two-dimensional problems: Plane stress and plane strain, Airy stress function, pressure vessels. Torsion: Non-prismatic sections, thick and thin-wall cylindrical shafts, shear centre and shear flow. Unsymmetrical bending. Thin Plates: Kirchhoff plate theory, rectangular plates. Buckling: rectangular plates. Class Project: Experimental / Numerical as decided by the Instructor.

    ES 621

    Finite Element Methods

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Finite Element Methods [ES 622]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction; Basic Steps, Preliminaries and Definitions; One-dimensional Stress-Deformation: Axial column; Computer Implementation; 1-D code for 3 above; Two-dimensional Stress Deformation; Computer Implementation; 2-D code for 5 above (continuing); One-dimensional (Steady) and Transient Flow: Uncoupled Analysis, Heat Flow, and Consolidation; Computer Implementation; 1-D code for 7 above; Beam Bending and Beam-Column; Two-dimensional Field Problems: Heat Flow, Fluid Flow, Torsion; Multicomponent (e.g., structure and foundation) Systems (depending on time and interest).

    ES 622

    Biomolecular Materials Science

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Biomolecular Materials Science [ES 623]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Structures and functions of basic classes of biomolecular materials – Nucleic acids, Proteins, Lipids & sugars; Specific & non-specific interactions between biomolecular materials – Electrostatic, van der Waals, hydrophobic interactions; Case studies in biomolecular materials science,– Tissue engineering, drug delivery, role of self-assembly in diseases.

    ES 623

    Non- Linear Elasticity

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Non- Linear Elasticity [ES 624]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Deals with large deformation elasticity tuned towards modeling cardiac muscle mechanics.
    Tensors Algebra, Tensor Analysis, Kinematics of deformation, material and spatial coordinates, deformation gradient tensor, nonlinear and linear strain tensors, strain displacement relations; balance laws, Cauchy and Piola Kirchoff stresses, Cauchy equations of motion, balance of energy, stored energy; constitutive relations, elasticity, hyperelasticity, choice of hyperelastic models, solution of selected problems, Muscle modeling (Active Stress/Active Strain approach), Numerical implementation.

    ES 624

    Optical Communications

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Optical Communications [ES 625]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Overview of optical communications; Planar optical wave guides, modes and the eigenvalue equation, single-mode and multimode fiber; Group  velocity and material dispersion, inter-modal and intra-modal dispersion, attenuation, pulse dispersion, fiber bandwidth, dispersion management; wavelength division multiplexing (WDM) concepts, Signal degradation, attenuation, dispersion and its compensation; Optical sources, semiconductor lasers and light emitting diodes, structure, spectral and temporal properties, modulation schemes; Photo-detectors, structure, operation, quantum efficiency, responsivity, spectral and temporal response; Detection schemes, coherent and non-coherent detection, performance analysis; WDM components, splitters, isolators, circulators, fiber Bragg gratings (FBG), Fabry-Perot and thin-film filters; Optical amplifiers, erbium doped fiber amplifiers

    ES 625

    Microfabrication and Semiconductor Processes

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Course Content

    Microfabrication and Semiconductor Processes [ES 626]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Introduction to CMOS technology, Overview of semiconductor materials and devices, Crystal growth and silicon wafers, Front end processes: Cleaning, Thermal oxidation, Ion implantation, Diffusion, Lithography, Thin film deposition and Etching, Back-end processes: Metallization and Planarization, Packaging, Process integration, Layout design rules, MEMS structures and fabrication techniques, Introduction to design for manufacturing (DFM).

    ES 626

    Linear Algebra and Computation

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Linear Algebra and Computation [ES 627]

    Credit
    L | T | P | C
    3 | 0 | 0 | 4

    Vector spaces, linear independence, basis, inner product spaces: Applications in Fourier analysis of Boolean functions; Strassen Algorithm, Gaussian elimination: Computational issues; Computing determinant: combinatorial approach; Solving Linear Diophantine equations; Expander graphs and Eigenvalue, Raleigh quotient, Cheeger’s inequality; Factoring: Shor’s algorithm;SVD and it applications in machine learning.

    ES 627

    Advanced Heat Transfer

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    3 | 0 | 0 | 4

    Course Content

    Advanced Heat Transfer [ES 631]

    Credit
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    3 | 0 | 0 | 4

    Macroscopic conduction principles, heat diffusion equation; Convection: Conservation principles, overview of differential & integral equations for the laminar and turbulent boundary layers, heat and mass transfer in laminar & turbulent external and internal boundary layers; convective heat and mass transfer at high velocities; Elements of statistical thermodynamics and quantum theory for heat transfer applications; Kinetic theory and micro/ nano fluidics; Thermal properties of solids and the size effect; Electron and Phonon Transport; Non-equilibrium energy transport in nano-structures; Fundamentals of thermal radiation; Radiative properties of nano-materials

    ES 631

    Energy Systems

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Energy Systems [ES 632]

    Credit
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    3 | 0 | 0 | 4

    System tools for energy systems; economic tools for energy systems; Conventional Power Generation Technology (Fundamentals of Energy Conversion, Heat Transfer, and Fluid Mechanics; Fuel Combustion and Gasification; Steam Power Plant Technology; Gas Turbine Power Generation Technology; Gas Turbine-Based Combined-Cycle Power Plants; Nuclear Power Plants; Cogeneration and Trigeneration; Power Plants’ Environment Impact Control) Renewable and Emerging Clean Energy Systems; Solar Thermal Energy Technology; Photovoltaic Technology; Hydro-Power, Wind, Geothermal, Marine, and Biomass Energy Systems; Advanced Energy Storage; Oxyfuel Combustion, Carbon Capture and Storage, Cleaner Coal Technologies; Emerging Clean Energy Technologies)

    ES 632

    Applied Multivariate Data Analysis

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Applied Multivariate Data Analysis [ES 634]

    Credit
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    3 | 0 | 0 | 4

    Review of basics of linear algebra, random variables, probability density functions, correlation function; Process modeling linear regression, nonlinear regression, ordinary and total least squares, principal component analysis (PCA), functional PCA, non-negative matrix factorization, independent component analysis, kernel PCA; Applications, parameter estimation in linear and nonlinear processes, data reconciliation, controller performance monitoring, fault diagnosis, biomedical and speech signal processing

    ES 634

    Water Quality Engineering

    Credit
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    3 | 0 | 0 | 4

    Course Content

    Water Quality Engineering [ES 635]

    Credit
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    3 | 0 | 0 | 4

    Fundamental theory and application of the physical and chemical processes in water and wastewater treatment: Introduction to water quality parameters, standards, Fundamentals, optimization and design of the following processes for water treatment: Coagulation, Flocculation: Destabilization mechanism, pC-pH (coagulation) diagram, Flocculation kinetics, Sedimentation: Design equations for settling basins, Water Conditioning, Softening: Chemical Reactions for softening, Softening process design, Disinfection: Breakpoint chlorination, CT concept and inactivation kinetics, Reactor design: CSTR, batch, plug flow reactor equations, tracer tests Ozone contactor design: Transport model for contactor design, Air stripping: Design and apply equation for air stripping process, Membrane Processes: Membrane materials, module types, High Pressure Membrane Process: Nanofiltration, Reverse Osmosis - models and their application, Low Pressure Membrane Process: Microfiltration, Ultrafiltration - models and their application, Activated Carbon Adsorption Process: Adsorption isotherms, required carbon dose, Ion exchange: Types of ion exchange resin, ion exchange design equation, Design Project: Design a water purification system for a sea-side town with the results of field tests of several water supplies in the town given.