Introduction to Life Sciences: Fundamentals of Life

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BE 101

Molecular Genetics

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3 | 0 | 0 | 2

BE 301

Bionanotechnology – Principles and Applications

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3 | 0 | 0 | 4

BE 303

Introduction to Biomedical Engineering

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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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BE 401

Stem Cells: Science and Applications

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3 | 0 | 0 | 4

Stem Cells: Science and Applications [BE 403]

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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

BE 404

Introduction to Plant Biotechnology

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Introduction to Plant Biotechnology [BE 405]

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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

Systems Biology

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BE 406

Introduction to Cell Biology

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Introduction to Cell Biology [BE 407]

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Module a. Origin of Cell Biology
History and development of Cell Biology; Invention of microscopes; Discovery of cells; Cell theory; Membrane and bulk phase theories; Steady-state membrane pump concept
Module b. Cell structure and organization
Cell as a unit of life, prokaryotic and eukaryotic cells, difference between plant and animal cells, bio-membranes, Structure and functions of various cell organelles i.e., nucleus, ribosome, ER, golgi, lysosomes, peroxisome, exosomes, vacuoles, chloroplasts, cytoskeleton; Organization of tissues: Cell-cell and cell matrix interactions, cell adhesion molecules, composition of extracellular matrix, cellular junctions and role; Cellular movement: types of movement, cilia and flagella, muscle contraction, role of cytoskeletal proteins in movement
Module c. How cells obtain energy from food
Glycolysis, Citric acid cycle, Energy generation in mitochondria and chloroplasts, oxidative phosphorylation, electron transport, photosynthesis
Module d: Cell cycle, Control of Cell Numbers and Cell Size
G1, G2, S and M phase of the cell cycle, Cell cycle analysis and its applications, Programed cell death apoptosis vs necrosis, Mitogens stimulating cell division, growth factors
Module e: Transport systems in cells
Osmosis, active and passive transport, protein transporters, ion channels, protein sorting, vesicular transport, secretory pathways, endocytic pathways, exocytosis, micropinocytosis, role of cytoskeletal proteins in transport, molecular motors
Module f: Cell signaling
Principles of cell signaling, Concept or receptor-ligand, Signalling molecules, Receptor types: ion-channel-coupled receptor, G-protein Receptor, Enzyme coupled receptors
Module g: Techniques used in cell biology and relevance of cell biology
Histology, staining, microscopy, TEM and SEM, live cell imaging, Fluorescent dyes and genetically encoded fluorescent tags, cell culture, FACS; Understanding Cancer, Stem cells and application, Tissue engineering, Infectious diseases, manipulating cells for therapeutic purposes

BE 407

Applied Biological Engineering

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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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BE 603

Cellular signaling

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BE 605

Neurophysiological Basis of Movement

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3 | 0 | 0 | 4

BE 606

Molecular and Cellular Biotechnology

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BE 607

Molecular Basis of Neurodegenerative Diseases

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BE 608

Molecular Oncology

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BE 610

Biological Physics

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3 | 1 | 0 | 4

BE 612

Biochemistry

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BE 613

Biostatistics

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Biostatistics [BE 614]

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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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BE 615

Human Physiology

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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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BE 617

Nanoscale Science

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Nanoscale Science [BS 401]

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Surfaces at the Nanoscale – Particle shape and the surface (exterior surface area, interior surface area); Surface and volume (specific surface area, spherical cluster approximation); Structural magic numbers; Particle orientation (effect of size on surface polarization, quasi-static limit, effect of orientation of nanoscale objects); Surface energy (fraction of surface atoms, energy of surface atoms; lowering of surface energy); Chemical interactions at nanoscale; Surface reactivity and catalysis; Surface stabilization (electrical double layer, surfactants and microemulsions, Ostwald ripening, sintering); Synthesis and Assembly at the Nanoscale – Gibb’s energy at nanoscale; Bottom-up approaches – gaseous phase (chemical vapor deposition, atomic layer deposition, epitaxy, ion implantation, combustion, thermal decomposition), liquid phase (molecular self- assembly, supramolecular chemistry, sol gel synthesis, electrolytic and electroless deposition), and template synthesis(microporous template materials, mesoporous template materials); Top- down approaches – mechanical , thermal, high energy, chemical, and lithographic; Self-assembly for synthesizing hierarchical nanomaterials (assembling nanosized components); Societal Implications of Using Nanomaterials – Overview of how nanomaterials are being applied (select examples from photonics, plasmonics, energy harvesting and storage, environmental remediation, devices); Ethical implications; Legal implications; Environmental implications (nanotoxicology, risk assessment); Public perception; Future trends.

BS 401

Earth Materials and Processes

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CE 201

Sustainability and Environment

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CE 202

Geospatial Engineering

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CE 203

Soil Mechanics

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3 | 1 | 2 | 5

CE 301

Structural Analysis

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3 | 1 | 0 | 4

CE 302

Geospatial Engineering

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CE 303

Concrete Design

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3 | 1 | 0 | 4

CE 304

Steel Design

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2 | 1 | 0 | 2

CE 305

Civil Engineering Materials Lab

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CE 306

Masonry Design

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2 | 1 | 0 | 2

CE 307

Water Resource Engineering

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CE 308

Field Survey Project

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CE 309

Hydrology and Hydraulics

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3 | 0 | 1.5 | 4

CE 310

Comprehensive Project - 1

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CE 401

Geotechnical Engineering

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2 | 1 | 2 | 4

CE 402

Construction Technology & Management

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3 | 0 | 0 | 4

CE 403

Transportation Engineering

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CE 404

Advanced Geotechnical Engineering

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CE 601

Analysis and Design of Foundation Systems

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CE 602

Constitutive Models in Soil Mechanics

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CE 603

Remote Sensing of Land and Water Resources

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CE 605

Advanced Structural Analysis

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CE 607

Advanced Engineering Hydrology

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CE 611

Analysis and Design of Masonry Buildings

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CE 613

Structural Design for Fire

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3 | 0 | 0 | 4

CE 615

Structural Dynamics

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CE 622

River Engineering

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CE 624

Advanced Hydraulic Engineering

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3 | 0 | 0 | 4

CE 625

Earthquake Engineering

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CE 626

Slopes and Retaining Structures

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3 | 0 | 0 | 2

CE 627

Applied Hydraulic Transients

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CE 628

Geosynthetics

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Geosynthetics [CE 629]

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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

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CE 631

Advanced Concrete Design

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Advanced Concrete Design [CE 632]

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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

Infrastructure Systems: Planning and Management

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CE 633

Air Pollution Control Engineering

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Air Pollution Control Engineering [CE 634]

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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

Pavement Materials and Design

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CE 635

Traffic and Roadway Engineering

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CE 636

Computation and Cognition

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CG 501

Foundations of Cognitive Science

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CG 502

Fundamentals of Cognitive Psychology

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CG 503

Research Methods in Cognitive Science

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CG 504

Fundamental Neuroscience

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CG 505

Experimental Techniques in Cognitive Science

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CG 506

Evolutionary Neuropsychology

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CG 507

Behavioral Economics

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CG 513

Motor Learning and Memory

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Motor Learning and Memory [CG 601]

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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

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CG 602

Perception and Attention

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CG 603

Phenomenology, Embodiment, and Consciousness

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CG 604

Learning and Memory

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CG 605

Philosophy of Mind

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CG 606

Emotion and Cognition

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CG 607

Neuroscience of Decision making

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CG 608

Neuroscience and Cognitive Neuroscience

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CG 611

Neural Plasticity

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CG 612

General Chemistry

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CH 201

Chemistry Laboratory

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CH 202

Fundamentals and Applications of Spectroscopy

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CH 203

Organic Chemistry in Everyday Life

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CH 204

Forensic Chemistry

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CH 301

Electrochemical Science and Engineering

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CH 302

Food Chemistry

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Food Chemistry [CH 401]

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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

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CH 503

Physical Organic Chemistry

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CH 506

Organometallic and Bioinorganic Chemistry

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3 | 0 | 0 | 4

CH 508

Main Group and Transition Metal Chemistry

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3 | 0 | 0 | 4

CH 510

Quantum Chemistry

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CH 511

Reactions and Mechanisms in Organic Chemistry

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CH 512

Advance Organic Chemistry

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CH 513

Bioinorganic Chemistry

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CH 517

Advanced Chemistry Laboratory

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CH 521

Inorganic Chemistry Laboratory

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Inorganic Chemistry Laboratory [CH 522]

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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

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Organic Chemistry Laboratory [CH 523]

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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

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CH 524

Physical Chemistry Laboratory

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Physical Chemistry Laboratory [CH 525]

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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

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3 | 0 | 0 | 4

CH 602

Electrochemistry

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3 | 0 | 0 | 4

CH 615

Applied Chemical Biology

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3 | 0 | 0 | 4

CH 616

Interpretative Organic Spectroscopy

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Interpretative Organic Spectroscopy [CH 622]

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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

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CH 624

Asymmetric Synthesis and Catalysis

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3 | 0 | 0 | 4

CH 626

Metabolism & Biosynthesis

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3 | 0 | 0 | 4

CH 627

Fluorescence Spectroscopy for chemists and biologists

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3 | 0 | 0 | 4

CH 628

Medicinal Chemistry for life

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3 | 0 | 0 | 4

CH 629

Catalytic Chemistry

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3 | 0 | 0 | 4

CH 630

Solid State Chemistry and Applications

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3 | 0 | 0 | 4

CH 632

Single Molecule Spectroscopy

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1.5 | 0 | 3 | 4

CH 633

Introduction to Molecular Dynamics

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Introduction to Molecular Dynamics [CH 634]

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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 Crystallography

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2 | 0 | 1 | 4

CH 635

Statistical Thermodynamics and its Applications in Chemistry

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3 | 0 | 0 | 4

Statistical Thermodynamics and its Applications in Chemistry [CH 636]

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Module I: Statistical Viewpoint
Thermodynamics postulates; conditions of equilibrium; reversible processes and maximum work postulate; Maxwell relation; review of probability theory; phase space; microstates and configurations; Boltzmann distribution law; significant configurations; physical interpretation of the distribution law; variation of W with E; approach to thermal equilibrium; the free particle and the ideal gas; concept of entropy

Module II: The Partition Function
Definition of partition function; chemical equilibrium and partition function; formulation of partition function – multiple degrees of freedom, degeneracy, indistinguishable and multiple units; thermodynamic functions from partition function – energy, entropy, factorability and separability; Fermi-Dirac and Bose-Einstein distributions and their classical limit

Module III: Evaluations of Partition Functions
Translational partition function – ideal monoatomic gas, Sackur-Tetrode equation; multitude of translational states, Maxwell-Boltzmann distribution; internal degrees of freedom – rotation, vibration, electronic excitation, potential energy function for a diatomic molecule; rigid-rotor harmonic-oscillator approximation; polyatomic gases; monoatomic crystals; molecular symmetry and relationship with partition function

Module IV: Statistical Mechanical Ensembles
Ensemble concept – basic postulates, types; microcanonical ensemble; canonical ensemble; grand canonical ensemble; analytical descriptions of the ensembles; equivalence of ensembles; fluctuations of thermodynamic properties

Module V: Applications
Intermolecular potential, Virial coefficients; heat capacities – Einstein solid, diatomic gases; the equilibrium state – dissociation of iodine, determinants of equilibrium; transition state theory – potential energy surface; distribution functions in classical monoatomic liquids

CH 636

Organic Electronics

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Organic Electronics [CH 637]

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Molecular Crystals; Amorphous Molecular/Polymer Films; Electronic States of a Molecule; Atomic Orbitals to Molecular Orbitals; Orbitals to States; Transitions between States; Potential Energy Curve; Radiative Transitions: Absorption and Emission; Electronic Factor; Vibrational Factor; Spin Factor; Franck-Condon Factor and Energy Gap Law; Electronic Coupling; Accepting Modes, Promoting Modes, and the Isotope Rule; Basic Photophysical Parameters: Lifetimes and Quantum Yields; Molecular Excitations – Effects Due to Polarization, Statistical Averaging, Environment, and Couplings; Dimers and Excimers; Electronic Interaction in the Ground and Excited States; Förster and Dexter Energy Transfer; Creation of Charged Molecules by Injection, Absorption, and Doping; Charged Molecules in Disordered Films and Molecular Crystals; Electrical and Optical Gap; Amorphous Solids; Comparison between Inorganic and Organic Semiconductors; Charge Carriers and Excitons; Frenkel and Wannier Exciton; Injection and Extraction of Charge Carriers; Charge Transport in Organic Solids; Band Transport; Hopping Transport; Polaronic Transport; Disorder Controlled Transport; Trapping Effect; Impact of Charge Carrier Density and Morphology on Transport; Charge Carrier Recombination; Generation and Dissociation of Excitations; Diffusion of Excitons; Basics of Organic Light-Emitting Diodes; Device Structures; Fluorescent and Phosphorescent Emitters; Organic Solar Cells Based; Electron-Donors and Electron-Acceptor Materials; Bulk-Heterojunction Structure; Role of Morphology of the Active Layer; Operational Principle of Organic Field-Effect Transistors; Improving Charge Transport; Polarity; Ambipolar Transport.

CH 637

Chemical Process Calculations

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2 | 1.5 | 0 | 3

CL 201

Chemical Engineering Thermodynamics

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2 | 1 | 0 | 3

CL 202

Process Fluid Mechanics

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2 | 1 | 0 | 3

CL 203

Heat Transfer

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2 | 1 | 0 | 3

CL 204

Chemical Reaction Engineering - I

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2 | 1 | 0 | 3

CL 205

Chemical Engineering Thermodynamics

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3 | 1 | 0 | 4

CL 221

Fluid Mechanics Lab

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0 | 0 | 3 | 2

CL 251

Chemical Reaction Engineering - II

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2 | 1 | 0 | 3

CL 313

Separation Processes - I

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2 | 1 | 0 | 3

CL 314

Process Dynamics and Control

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2 | 1 | 0 | 3

CL 315

Separation Processes - II

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2 | 1 | 0 | 3

CL 316

Process Synthesis, Design, and Simulation

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1.5 | 0 | 3 | 4

CL 317

Separation Processes

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3 | 1.5 | 0 | 4

CL 321

Chemical reaction engineering

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3 | 1 | 0 | 4

CL 322

Introduction to Polymer Science and Engineering

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3 | 0 | 0 | 4

CL 324

Heat Transfer and Thermodynamics Lab

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0 | 0 | 3 | 2

CL 351

Mass Transfer and Reaction Engineering Lab

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0 | 0 | 3 | 2

CL 352

Process Control

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3 | 1 | 0 | 4

CL 422

Non-Linear Analysis

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3 | 0 | 0 | 6

CL 423

Process Analysis and Simulation

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1 | 1 | 3 | 3

CL 424

Process Synthesis and Design

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3 | 1 | 0 | 4

CL 425

Biochemical Engineering

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Biochemical Engineering [CL 426]

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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

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3 | 0 | 0 | 4

CL 427

Process Dynamics and Control Lab

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0 | 0 | 3 | 2

CL 451

Advance Transport Phenomena

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3 | 1 | 0 | 4

CL 601

Advanced Thermodynamics

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Advanced Thermodynamics

[CL 602]

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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

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CL 604

Colloidal Domain:Where Science meets Engineering

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3 | 0 | 0 | 4

CL 605

Chemical Microscopy

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3 | 0 | 0 | 4

CL 625

Particulate Solids: Processing & Surface Engineering

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3 | 0 | 0 | 4

CL 627

Liquid State Theory

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Liquid State Theory [CL 628]

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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

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3 | 0 | 0 | 4

Fundamentals of Aerosol Science [CL 629]

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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

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Catalyst Design for Heterogeneous Reactions [CL 630]

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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

Theory of Computation

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3 | 1 | 0 | 4

CS 201

Operating Systems

Credit
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3 | 0 | 1.5 | 5

CS 301

Theory Of Computation

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3 | 1 | 0 | 4

CS 302

Mathematical Foundations for AI

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Mathematical Foundations for AI [CS 303]

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3 | 1 | 0 | 4

1. Refresher Module
· Data representation (floating point arithmetic, underflow, overflow)
· Linear Algebra
· Calculus (univariate calculus)
· basic probability
2. Multivariate Calculus and Automatic Differentiation
· Gradient, Jacobian, Hessian
· Finite difference methods and limitations
· Automatic gradient computation
· Continuous Multivariate Probability distributions
· Maximum likelihood estimation (MLE) and Maximum A Posteriori (MAP)
· Conjugate Priors
3. Optimization
· Continuous optimization:
i. Taylor’s series and connections to optimization methods
ii. Unconstrained Optimization:
1. Gradient descent.
2. Gauss-Newton methods and variants.

iii. Constrained Optimization: Lagrange multipliers, primal and dual forms, KKT
conditions.
iv. Linear and Quadratic Programming
4. Unification of Information Theory and Machine Learning
· Information Theoretic concepts: self-information, entropy, KL divergence
· Perfect communication over a noisy imperfect communication channel: Data
compression problem: Optimal code, Huffman encoding

5. Markov chains :sequential modeling, joint probability of a sequence, representation of a
chain, learning the parameters given a sequence.

CS 303

Compilers

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3 | 0 | 1.5 | 5

CS 327

Introduction to Data Science

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3 | 1 | 0 | 4

Introduction to Data Science [CS 328]

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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

Computer and network security

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CS 431

Databases

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3 | 0 | 0 | 4

CS 432

Computer Networks

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3 | 1 | 0 | 4

Computer Networks [CS 433]

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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

Software Engineering and Testing

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3 | 1 | 0 | 4

CS 434

Human-Computer Interaction

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3 | 0 | 0 | 4

Human-Computer Interaction [CS 435]

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3 | 0 | 0 | 4

Introduction: Human-Computer Interaction (HCI); the role of an effective design (example of good and bad design) in the interaction design process; Concepts: describes major design principles associated with HCI e.g., visibility, flow, affordance, metaphors, feedback, consistency etc.; Understanding users and data gathering: Overview of how to plan and run successful data gathering sessions including interviews, design questionnaires and run observations; Requirements formulation: describes how to interpret results from data gathering sessions into requirements for design, explains the process and purpose of literature reviews and goes through how to develop scenarios and use cases; User interfaces and modalities: introduction to the many different types of user interface and modalities, and how they are used; Design, prototyping and construction: explain why to prototype and how to construct prototypes (low and high-fidelity), and how to begin construction based on designs; Evaluation: why is evaluation important, goals, methods, case study; Data analysis: discuss the qualitative and quantitative data and describes how best to analyze the results from data gathering sessions; Group course project (low/high-fidelity prototype) submission and presentation; Future directions: what is next for HCI and interaction design?

CS 435

Combinatorics with Applications in Computer Science

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3 | 0 | 0 | 4

CS 607

Advanced Data Structures

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3 | 0 | 0 | 4

CS 609

Algorithms

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3 | 0 | 0 | 4

CS 610

Computer Systems

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3 | 0 | 0 | 4

CS 612

Natural Language Processing

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3 | 0 | 0 | 4

CS 613

Advanced Algorithms

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3 | 0 | 0 | 4

CS 614

Parallel and Distributed Systems

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3 | 0 | 1.5 | 5

Parallel and Distributed Systems [CS 616]

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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

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Computational Complexity Theory [CS 617]

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● 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

Technopreneurship: Product Proposition

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Technopreneurship: Product Proposition [DES 201]

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The course intends to promote contextual innovation that is feasible and marketable. The students will get an opportunity to apply the theoretical knowledge of engineering to design a solution that works. The course structure and pedagogy will require creation of functional teams within students, simulating professional practice
This course also aims to integrate entrepreneurial activity with the academic curriculum and promote innovations that are technologically strong.
Design process to be central to the stage wise progress; cyclic iterative development will be integral to development of the product solution. Various tools and methods to find a focused issue and lead towards an effective solution will be employed suitably.
Topics covered
▣ Introduction to business innovations
- Drivers of successful innovations (usability, desirability and feasibility)
- Opportunities for business innovations (organization structure, product offerings, customer experience) and their intersection with product innovation
▣ Define the project brief: opportunities for product innovation
- Defining a need statement that leads to the investigation in target market segmentation - User profile: Investigate and define demographics of the target user as applicable.
- Environment/ context: establishing the seasonal, geographical, social and environmental needs etc. as applicable
- Prior art and/or existing solutions/trend analysis in the market and potential gap areas
▣ Concept development: iterative, cyclic design process
- Application of design thinking tools such as mind maps, fishbone diagrams to be used for data mapping and analysis
- Ideation (multiple ideas based on the opportunities): use of design methods such as Brainstorming/ SCAMPER / Synectics for ideation.
- Consolidation of concepts using progressive sketches (schematic >> product concept) and low fidelity mock-ups using materials available around
▣ Product proposition
- Consolidated proposition with user, context and design opportunities
- Medium fidelity prototype(s) as a proof of concept: the prototype(s) should explain the working of the product and interaction with the user (combined or separate as required)

DES 201

Creativity, Design and Doing

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DES 302

Technopreneurship: Product Development + Business Strategy

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Technopreneurship: Product Development + Business Strategy [DES 303]

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The course will involve a major project; where the students work parallely on multiple fronts to make the product solution ready for business incubation. Introductory sessions for each topic and mentoring will be provided to the students. The project is driven by student teams; seeking mentorship as they face roadblocks. Timely evaluations and feedback from a curated panel of members from the industry and business experts are integrated in the structure.

They will make extensive use of design as a strategic problem solving process that leads to better quality of life through innovative products, systems, services and experiences.
Topics/activities covered:

• Developing high fidelity prototype (using in-house IITGN facilities and/or vendors and external mentorship)
- Understanding criticalities of design detailing for materials and processes, assembly
- Learning to plan for fabrication and assembly, optimizing the resources (material, time, human)
- Material procurement, communication with vendor and logistics

• Protecting the intellectual property (as and if applicable)
- Understanding the need and process of protecting intellectual property (Copyright / Patent/ Registration etc)
- Scrutinizing which method and/or process will be most appropriate for the proposed concept

• Chalking out a business strategy: keeping the product solution as the focus
- Vision for the near future such as identifying the target market size
- Understanding the basics of production management, decisions on volume of production, projecting the resources required

• Customer feedback, validation from subject experts (adapted from user experience design)
- Testing how the intended users interact with the product; modifications / demonstrations required for a smooth barrier free interaction.
- Subject experts in fields such as medical experts, manufacturers,policy makers or NGO workers etc. as applicable for implementation of product solution.

• Understanding the basics of production and management
- Making the participants ready for pilot production;decisions on volume of production, projecting the material resources and infrastructure required.
- Inventory management and logistics required in the near future (as applicable to the product solution only)

• Registration of the business venture
- Understanding business structures like Proprietorship, Partnership, Company (Private company or Public company), etc.
- Legal and financial aspects of each of these structures
- A brief introduction to statutory requirements

• Financial plan and resource management: for first two years of product venture management
- Introduction to return on investment, break even point
- How to come with a financial equation for a financial quarter or a fiscal
- An understanding for capital vs operational funds required for the venture

• Presentation and representation of the project:
- How to pitch the solution; various formats suitable for particular audiences
- Media for verbal and nonverbal communication
- Representation of technical data/ product details
- Packaging the solution in a marketable format: usability, product handling, introduction to branding and packaging

DES 303

Visual Design for Academia

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DES 601

Electronic Devices

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EE 221

Electrical Machines

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2 | 1 | 1.5 | 4

EE 223

Power Systems

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3 | 1.5 | 0 | 4

EE 224

Electromagnetic Waves

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Electromagnetic Waves

[EE 311]

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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

Engineering Electromagnetics

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EE 312

Communication Systems

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2 | 1 | 0 | 3

EE 313

Analog Circuits

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3 | 1 | 3 | 5

EE 321

Analog Circuits

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2 | 1 | 1.5 | 4

EE 322

Digital Signal Processing

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Digital Signal Processing [EE 323]

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Module 1: Discrete Time Signals and Systems
Introduction To Discrete-Time Linear Time-Invariant (LTI) Signals and Systems, Linear Phase

Systems, Brief Review of Fourier Representations; Sampling And Reconstruction of Continuous-
Time Signals, Analysis of LTI Systems Using Z Transform, Applications.

Module 2: Discrete Fourier Transform
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,
Applications.

Module 3: Digital Filter Design
Analog Filter Design, Digital Filters - Infinite and Finite Impulse Response (IIR And FIR), 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, Applications.

Module 4: Real-World Applications
Real-world applications will be drawn from the research areas, such as Communication Systems,
Antennas, Image Processing, Audio Processing, Finance, and Biomedical Engineering.

EE 323

Electrical Machines

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3 | 1 | 0 | 4

EE 331

Power Systems

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3 | 1 | 0 | 4

EE 332

Power Electronics

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2 | 1 | 3 | 4

EE 333

Communication Systems

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3 | 1 | 0 | 4

EE 341

Digital Signal Processing

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3 | 1 | 0 | 4

EE 411

Electric Vehicle Technology

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3 | 0 | 0 | 4

EE 426

Electrical Systems Lab

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EE 431

Analysis and Synthesis of Linear Circuits

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Analysis and Synthesis of Linear Circuits [EE 432]

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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

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3 | 0 | 0 | 4

EE 604

Digital Image Processing

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3 | 0 | 0 | 4

EE 605

Applied Statistical Bioelectric Signal Analysis

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3 | 1 | 0 | 4

EE 606

Advanced Signal Processing

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3 | 0 | 0 | 4

EE 609

Restructured Power Systems: Operation and Management

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3 | 0 | 0 | 4

EE 611

VLSI Design

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3 | 0 | 0 | 4

EE 617

Microelectronics Lab

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EE 618

Special Electrical Machines

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3 | 0 | 0 | 4

EE 619

Power Electronic Converters

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3 | 1 | 0 | 4

EE 629

Lasers

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EE 639

Solar Photovoltaics: Physics, Technologies and Applications

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EE 643

Physics of Transistors

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EE 644

3D Computer Vision

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EE 645

Asynchronous Circuit Design

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EE 647

Dynamic Behaviour of Electric Machines

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EE 648

CMOS Analog IC Design

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EE 651

IC Design Laboratory

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EE 652

Analog IC Design Lab

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EE 653

Carrier Transport in Advanced Semiconductor Devices

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Carrier Transport in Advanced Semiconductor Devices [EE 654]

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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

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Heterostructure Devices [EE 655]

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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

Digital VLSI Circuits Laboratory

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EE 656

VLSI System Design

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3 | 0 | 0 | 4

EE 657

Memory Device Technologies and Applications

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Memory Device Technologies and Applications [EE 658]

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Module 1: Introduction and Overview
Review of a computer system; Memory hierarchy; Semiconductor memory overview; Memory
comparison, tradeoffs, and challenges; volatile & non-volatile memories

Module 2: Conventional Volatile and Non-volatile Memories
Volatile memories - SRAM: Review of Device basic structure; memory unit cell operation; Array
Operation; Reliability issues and Current Advances;Volatile memories - DRAM: Review of Device

basic structure; memory unit cell operation; Array Operation; Reliability; Current Advances;Non-
volatile memory - FLASH: Floating Gate (FG) & Charge Trap (CT) flash; Flash memory physics;

NAND vs NOR flash; Multi-bit capability (MLC); Reliability and scaling issues; Current Advances:
Nanocrystal; 3D NAND;

Module 3: Emerging Non-volatile Memories (eNVM)

Resistive RAM (RRAM): Unipolar and Bipolar; Filamentary & non-filamentary; Ion transport; multi-
bit operation; reliability; Selector devices for memories;Phase change memory (PCM); Conductive

bridge RAM (CBRAM); Ferroelectric RAM (FeRAM); Spin-transfer Torque Magnetic RAM (STT-
MRAM) - Device physics and operation; eNVM performance comparison; eNVM challenges and

opportunities to replace existing memory; eNVM modeling

Module 4: Memory Architecture and applications
Conventional Memory architecture; Cross-point array architecture; Peripheral/control circuit;
Sense amplifier; Memories for Neuromorphic computing; In-memory computing applications;
Security applications; System-level implementation and challenges

EE 658

Field Practices in Earth System Sciences

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0 | 0 | 0 | 2

Field Practices in Earth System Sciences [EH 301]

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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

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EH 302

Introduction to Earth Sciences

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EH 303

Earth Surface Processes in the Anthropocene

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3 | 0 | 1.5 | 4

Earth Surface Processes in the Anthropocene [EH 601]

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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

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3 | 0 | 0 | 4

River Morphology and Ecology [EH 602]

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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

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3 | 0 | 0 | 4

EH 604

Modeling of Earth System and Sustainability

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3 | 0 | 0 | 4

EH 605

Critical Zone System Science

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3 | 0 | 0 | 4

EH 606

Biodiversity Conversation and Sustainable Development

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3 | 0 | 0 | 4

EH 608

Environmental Geochemistry and Modelling

Credit
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3 | 0 | 0 | 4

EH 609

Engineering Seismology and Seismic Hazard Analysis

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3 | 0 | 0 | 4

Engineering Seismology and Seismic Hazard Analysis [EH 610]

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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

EH 611

Ocean and Global Change

Credit
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3 | 0 | 0 | 4

Ocean and Global Change [EH 612]

Credit
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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
3 | 0 | 1.5 | 4

EH 613

Physics of the Lithosphere

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

EH 614

Statistical Seismology

Credit
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3 | 0 | 0 | 4

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

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3 | 0 | 0 | 4

Materials of Earth’s Deep Interior [EH 616]

Credit
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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

Advanced Field Techniques in Earth Sciences

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0 | 0 | 3 | 2

Advanced Field Techniques in Earth Sciences [EH 617]

Credit
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0 | 0 | 3 | 2

Quantitative Topographic Analysis: Principles of topographic mapping, methods of topographic profile construction, interpretation of natural factors controlling topography, topographic control over earth surface processes (including natural hazards); Natural Processes of geomaterials: Igneous, sedimentary and metamorphic processes and their products, characterization of Earth forming materials including economic resources, primary and secondary features in rocks; Geometrical analysis of structural features: Measurements of orientation of various 1D and 2D structural elements (e.g. tectonic fabrics), techniques of high-resolution structural mapping, large scale structural mapping of geological terrains and construction of geological sections, applications of stereographic projections in field analysis; Identification and mechanics of tectonic structures: Characterization of tectonic features: Fabrics, folds and fractures, interpretation of structural mechanics from geometrical data, reconstruction of deformation history from structural records; Post-processing of field data and geological reconstruction: Preparation and interpretation of geological maps, graphical presentation of geological data, reconstruction of geological evolution of the study area; Field report preparation.

EH 617

Engineering Graphics

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

ES 101

Introduction to Electrical Systems

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

ES 103

Introduction to Analog and Digital Electronics

Credit
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3 | 1.5 | 0 | 4

ES 104

Electrical and Electronics Lab

Credit
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0 | 0 | 4 | 2

ES 105

Manufacturing and Workshop Practice

Credit
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1 | 0 | 1.5 | 2

Manufacturing and Workshop Practice [ES 106]

Credit
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1 | 0 | 1.5 | 2

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

Basic Science Engineering
Manufacturing and Workshop Practice I

Credit
L | T | P | C
1 | 0 | 1.5 | 2

Basic Science Engineering
Manufacturing and Workshop Practice I [ES 106A]

Credit
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1 | 0 | 1.5 | 2

ES 106A

Basic Science Engineering
Manufacturing and Workshop Practice II

Credit
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1 | 0 | 1.5 | 2

Basic Science Engineering
Manufacturing and Workshop Practice II [ES 106B]

Credit
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1 | 0 | 1.5 | 2

ES 106B

Computing

Credit
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2 | 0 | 2 | 3

Computing [ES 112]

Credit
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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

Data-Centric Computing

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1.5 | 0 | 1.5 | 3

Data-Centric Computing [ES 113]

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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

Probability, Statistics, and Data Visualization

Credit
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1.5 | 0 | 1.5 | 3

Probability, Statistics, and Data Visualization [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

ES 115

Principles and Applications of Electrical Engineering

Credit
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3 | 1 | 1.5 | 5

Principles and Applications of Electrical Engineering [ES 116]

Credit
L | T | P | C
3 | 1 | 1.5 | 5

Introduction:

relationship between electrical engineering and the physical world; Signals and Sources: concept of a signal; physical origin of signals, types of signals (temporal, spatial, slow, rapid, periodic, aperiodic); independent and dependent sources; voltage sources, current sources, impedance matching; Measures of a signal: amplitude, peak value, average value, rms value, repetition rate, duty cycle; phasor representation; Spectral analysis of signals: elementary concepts of the Fourier series and the Fourier transform Types of systems: linear and nonlinear systems; active and passive systems; Signal gathering: basic properties of sensors, linearity, dynamic range, time response, cross-sensitivity Energy storage: the role of reactive circuit elements; effects of capacitance and inductance, time-domain properties of systems, transient behaviour of system described by first-order differential equations; Frequency selectivity: frequency response of systems, low-pass, high-pass and resonant behaviour described by second-order differential equations; Signal conditioning: concept of amplification, operational amplifiers as amplifiers; Signal conditioning: filtering, use of operational amplifiers with reactive circuit elements Analog-to-digital conversion: sampling and quantization; Noise: elementary ideas about types and sources of noise, signal-to-noise ratio; Nonlinear circuit elements: the diode and simple diode circuits, the MOSFET as an amplifier and as a switch Combinational Logic: brief of logic gates, minimization of logic expressions; Sequential Logic: Latch, Flip-flops (SR, JK, D), flip-flop applications (frequency counter, registers, decoders, multiplexers, demultiplexers, comparators); Overview of applications of EE in important areas: renewable energy, electric vehicles, communication and signal processing.

ES 116

The World of Engineering

Credit
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0 | 0 | 3 | 2

ES 117

Materials for the Future

Credit
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1.5 | 0 | 1.5 | 3

ES 118

Introduction to Design and Innovation

Credit
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2 | 0 | 4 | 4

ES 201

Introduction to Materials

Credit
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3 | 0 | 0 | 4

ES 202

Digital Systems

Credit
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2 | 1 | 3 | 4

ES 203

Digital Systems

Credit
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2 | 1 | 1.5 | 4

ES 204

Thermodynamics

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2 | 1 | 0 | 3

Thermodynamics [ES 211]

Credit
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2 | 1 | 0 | 3

Introduction and basic concepts
Thermodynamics & energy; applications of thermodynamics; importance of dimensions and units; systems and control volumes; properties of a system; state and equilibrium; processes and cycles; temperature and the zeroth of thermodynamics; generic problem-solving technique in thermodynamics

Energy, Energy transfer and general energy analysis
Forms of energy; energy transfer due to heat, work and matter; mechanical forms of work; the first law of thermodynamics; energy conversion efficiencies; energy and the environment

Properties of pure substances
Phases of a pure substance; phase-change processes; property diagrams and tables; link between classical and statistical properties; equations of state

Energy analysis of closed systems
Moving boundary work; energy balance for closed systems; specific heats; internal energy, enthalpy and specific heats for ideal gases

Mass and energy analysis of control volumes
Conservation of mass; flow work and the energy of a flowing fluid; energy analysis of flow systems; steady flow systems; unsteady flow processes

The second law of thermodynamics
Thermal energy reservoirs; heat engines, refrigerators and heat pumps; reversible and irreversible processes; internally reversible processes; Carnot cycle and principles; Carnot heat engine and refrigerator

Entropy
Clausius inequality; increase of entropy principle; entropy change of pure substances; property diagrams; isentropic processes; reversible steady-flow work; isentropic efficiency for steady flow devices; entropy balance

Introduction to thermodynamic cycles
Introduction to Rankine, Diesel and Brayton cycles for power production, mobility and aviation; introduction to vapor compression refrigeration cycle

Exergy
Work potential of energy; reversible work and irreversibility; second-law efficiency; exergy change of a system; exergy balance for closed systems and control volumes

Thermodynamics of radiation
Planck’s law for black bodies; Wien’s displacement law; absorption and emission of radiation; black bodies; Stefan-Boltzmann law

Fundamentals of photovoltaic energy conversion
Properties of sunlight; solar cell operation

ES 211

Fluid Mechanics

Credit
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3 | 1.5 | 0 | 4

ES 212

Discrete Mathematics

Credit
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3 | 1 | 0 | 4

ES 214

Computer Organization and Architecture

Credit
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3 | 1 | 0 | 4

ES 215

Signals, Systems and Networks

Credit
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3 | 1 | 0 | 4

ES 216

Mechanics of Solids

Credit
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3 | 1.5 | 0 | 4

Mechanics of Solids [ES 221]

Credit
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3 | 1.5 | 0 | 4

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

Credit
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- | - | - | -

ES 242

Biology for Engineers

Credit
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3 | 1 | 0 | 4

ES 243

Signals, Systems, and Random Processes

Credit
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3 | 1.5 | 0 | 4

Signals, Systems, and Random Processes [ES 244]

Credit
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3 | 1.5 | 0 | 4

Basics of Signals and Systems - Classification and Properties in Time Domain; Time Domain Analysis - Continuous and Discrete Time Linear Time Invariant (LTI) Systems, Linear Differential and Difference Equations, Characteristic Modes, Natural and Forced Responses, Zero Input and Zero State Responses, Convolution, Stability and Causality, Applications to Circuit Analysis; Transform Domain Analysis - Transforms and Properties - Continuous Time Fourier Series (CTFS), (CTFT), Laplace Transform, DiscreteTime Fourier Series (DTFS), Discrete Time Fourier Series (DTFT), Z Transform, Discrete Fourier Transform (DFT), Frequency Response, Gibbs Phenomenon, Parseval’s Theorem, Dirichlet Conditions, Stability, Sampling, Applications to Analog Communication Systems; Random Signal Analysis - Random Vectors, Central Limit Theorem, Law of Large Numbers, Random Processes, Classification, Examples, Wide Sense Stationarity (WSS) and Strict Sense Stationarity (SSS), Independent Identically Distributed (IID) Processes, Ergodicity, Autocorrelation and Power Spectral Density, Applications; WSS Random Signals through LTI Systems - Autocorrelation and Power Spectral Density, Gaussian Processes, White Gaussian Noise, Brownian Motion, Auto Regressive, Moving Average, Poisson Processes, Applications to Networks, Detection Theory, and Communication Channels.

ES 244

Control Systems

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3 | 1.5 | 0 | 4

Control Systems [ES 245]

Credit
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3 | 1.5 | 0 | 4

Review of basic concepts: Notion of feedback; open- and closed-loop systems; Review of Laplace transforms, transfer functions, conversion of models between time domain and frequency domain; Modelling and representations of control systems: Ordinary differential equations, state-space representations, transfer function and block diagrams; Linearity, time-invariance versus time-variance; Linearization; Canonical forms; Dynamic response and stability of systems; Time-domain analysis, first order systems, second-order systems, standard responses – Impulse, step, ramp; Poles and zeros and their effects on responses; Dynamic response from the state equations, definition of stability, characteristic-equation, and roots; BIBO Stability, Routh-Hurwitz criteria; Design of controllers for SISO systems: Feedback control systems: Basic idea of feedback control systems, stabilizing control, regulation and tracking; Steady state error analysis; P, PI, PD, PID controllers, Ziegler–Nichols Tuning of the PID Controller; the root-locus technique; Design of controllers using root-locus; Feedforward control by plant model Inversion; Design of controllers for MIMO systems: Control-Law design for full-state feedback, pole placement with state feedback, controllability; Pole placement with output feedback, observability, Luenberger observer; LQR control; Frequency domain analysis and design: Frequency responses; Bode-plots; Gain-margin and phase-margin; Nyquist plots; Stability analysis in frequency domain, design via frequency response: Lead-lag compensators.

Overview

Departments

Centers

Overview

Departments

Centers

Courses

Introduction to Life Sciences: Fundamentals of Life

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

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

Molecular Genetics

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

Molecular Genetics [BE 301]

Bionanotechnology – Principles and Applications

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

Bionanotechnology – Principles and Applications [BE 303]

Introduction to Biomedical Engineering

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

Introduction to Biomedical Engineering [BE 304]

Methods in Biology

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

Methods in Biology [BE 401]

Stem Cells: Science and Applications

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

Stem Cells: Science and Applications [BE 403]

Genetic Engineering – Principles and Applications

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

Genetic Engineering – Principles and Applications [BE 404]

Introduction to Plant Biotechnology

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

Introduction to Plant Biotechnology [BE 405]

Systems Biology

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

Systems Biology [BE 406]

Introduction to Cell Biology

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

Introduction to Cell Biology [BE 407]

Applied Biological Engineering

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

Applied Biological Engineering [BE 601]

Biophysical Techniques

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

Biophysical Techniques [BE 603]

Cellular signaling

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

Cellular signaling [BE 605]

Neurophysiological Basis of Movement

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

Neurophysiological Basis of Movement [BE 606]

Molecular and Cellular Biotechnology

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

Molecular and Cellular Biotechnology [BE 607]

Molecular Basis of Neurodegenerative Diseases

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

Molecular Basis of Neurodegenerative Diseases [BE 608]

Molecular Oncology

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

Molecular Oncology [BE 610]

Biological Physics

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

Biological Physics [BE 612]

Biochemistry

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

Biochemistry [BE 613]

Biostatistics

Credit L | T | P | C 1.5 | 0 | 3 | 4

Biostatistics [BE 614]

Bioinformatics and Computational Biology

Credit L | T | P | C 1.5 | 0 | 3 | 4

Bioinformatics and Computational Biology [BE 615]

Human Physiology

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

Human Physiology [BE 616]

Novel Drug Delivery Technologies: Fundamental Principles and Engineering

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

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

Nanoscale Science

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

Nanoscale Science [BS 401]

Earth Materials and Processes

Credit
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0 | 0 | 0 | 2

Credit
L | T | P | C
3 | 0 | 1.5 | 4

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

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

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

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

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

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

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

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

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

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

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