EE3 | Bachelor of Technology in Electrical Engineering Power and Automation
Courses id Courses Title
[0 - 3 - 0]
Independent Study (EE3)
[3 - 1 - 0]
Engineering Mechanics
Kinematics, Statics, Equations of Motion, Rigid body dynamics, Introduction to variational mechanics.
[3 - 0 - 2]
Introduction to Computer Science
Organization of Computing Systems. Concept of an algorithm; termination and correctness. Algorithms to programs: specification, top-down development and stepwise refinement. Problem solving using a functional style; Correctness issues in programming; Efficiency issues in programming; Time and space measures. Procedures, functions. Data types, representational invariants. Encapsulation, abstractions, interaction and modularity. Identifying and exploiting inherent concurrency. Structured style of imperative programming. Introduction to numerical methods. At least one example of large program development.
[2 - 0 - 0]
Environmental Science
Pollutant sources and control in air and water, solid waste management, noise pollution and control, cleaner production and life cycle analysis, reuse, recovery, source reduction and raw material substitution, basics of environmental impact assessment, environmental risk assessment and environmental audit, emerging technologies for sustainable environmental management, identification and evaluation of emerging environmental issues with air, water, wastewater and solid wastes.
[3 - 1 - 2]
Introduction to Electrical Engineering
Elements in an Electrical circuit: R, L, C, Diode, Voltage and current sources (independent and dependent/controlled sources with examples). DC circuits, KCL, KVL, Network theorems, Mesh and nodal analysis. Step response in RL, RC, RLC circuits. Phasor analysis of AC circuits. Single phase and 3-phase circuits. Two port network, BJT: CE and small signal model, Operational amplifiers: Model and applications Introduction to Digital circuits. Magnetic circuits, Transformers: Modeling and analysis; parameter determination. Energy in magnetic field. Electromechanical energy conversion principles with examples. Principles of measurement of voltage, current and power.|Laboratory component and the List of experiments.|CRO (mechanism and usage). KCL, KVL, Network theorem verification. Step/ transient response of RL, RC, RLC, circuits. Steady state response of Circuits of sinusoidal excitation. Diode experiment (clipping, clamping and rectification). Basic circuits using opamp. Transformers OC and SC tests. BH loop in an iron core, DC and AC motor for observation only. A small mini-project.
[0 - 0 - 3]
Introduction to Engineering Visualization
Sketching of engineering objects and interpretation of drawings as a visualisation and communication tool. Creating 3D components through the use of a CAD package. Simple assemblies, generation of assembly views from part drawings, animation of simple assemblies.
[3 - 0 - 4]
Data Structures & Algorithms
Introduction to object-oriented programming through stacks queues and linked lists. Dictionaries; skip-lists, hashing, analysis of collision resolution techniques. Trees, traversals, binary search trees, optimal and average BSTs. Balanced BST: AVL Trees, 2-4 trees, red-black trees, B-trees. Tries and suffix trees. Priority queues and binary heaps. Sorting: merge, quick, radix, selection and heap sort, Graphs: Breadth first search and connected components. Depth first search in directed and undirected graphs. |Disjkras algorithm, directed acyclic graphs and topological sort. Some geometric data-structures.
[3 - 1 - 0]
Probability and Stochastic Processes
Axioms of probability, Probability space, Conditional probability, Independence, Bayes rule, Random variable, Some common discrete and continuous distributions, Distribution of Functions of Random Variable, Moments, Generating functions, Two and higher dimensional distributions, Functions of random variables, Order statistics, Conditional distributions, Covariance, Correlation coefficient, conditional expectation, Modes of convergences, Laws of large numbers, Central limit theorem, Definition of Stochastic process, Classification and properties of stochastic processes, Simple Markovian stochastic processes, Gaussian processes, Stationary processes, Discrete and continuous time Markov chains, Classification of states, Limiting distribution, Birth and death process, Poisson process, Steady state and transient distributions, Simple Markovian queuing models (M/M/1, M/M/1/N, M/M/c/N, M/M/N/N, M/M/).
[3 - 0 - 0]
Principles of Electronic Materials
Energy bands in solids(KP model), Classification of electronic materials: metals, semiconductors and insulators. Free electron model, Conductivity in metals and Concepts of Fermi level, effective mass and holes, Concept of phonons, Thermoelectricity, Intrinsic, extrinsic and degenerate semiconductors, Fermi level variation by carrier concentration and temperature, Metal-semiconductor junction, p-n junction, Diffusion and drift transport, carrier life time and diffusion length; Direct and indirect band gaps, Optical transitions, photon absorption, Exciton, photovoltaic effect, Dielectrics and electrical polarization, Depolarization field, Clausius-Mossotti relation; Drude model, Electronic polarization and its mechanisms, Dielectric breakdown; Piezoelectricity, Pyroelectricity and Ferroelectricity; Magnetism in materials types of interactions, Magnetic susceptibility, Curie and Neel temperatures; Domains, Magnetic anisotropies, Spin-orbit interaction.
[3 - 1 - 0]
Introduction to Chemistry
Entropy and free energy changes in chemical processes, chemical equilibria, phase transformations, structure and dynamics of microscopic systems, physical basis of atomic and molecular structure, three-dimensional arrangement of atoms in molecules, structure and reactivity of organic, inorganic and organometallic compounds, basic strategies for synthesis of carbon and silicon containing compounds, coordination chemistry, role of inorganic chemistry in living systems
[3 - 1 - 0]
Review of limit, continuity and differentiability, uniform continuity. Mean value theorems and applications, Taylors theorem, maxima and minima. Sequences and series, limsup, liminf, convergence of sequences and series of real numbers, absolute and conditional convergence.|Riemann integral, fundamental theorem of integral calculus, applications of definite integrals, improper integrals, beta and gamma functions.|Functions of several variables, limit and continuity, partial derivatives and differentiability, gradient, directional derivatives, chain rule, Taylors theorem, maxima and minima and the method of Lagrange multipliers.|Double and triple integration, Jacobian and change of variables formula. Parameterization of curves and surfaces, vector fields, divergence and curl. Line integrals, Greens theorem, surface integral, Gauss and Stokes theorems with applications.
[3 - 1 - 0]
Electromagnetic Waves and Quantum Mechanics
Electric and magnetic fields in a medium, Susceptibility and Conductivity, Maxwells equations, Boundary conditions; EM wave equation, Plane wave solutions, Polarization of the EM waves, Poynting vector and intensity of the EM wave; Wave packet, Phase and Group velocities; Reflection and refraction of EM waves at a dielectric interface; Brewster angle; Total internal reflection at a dielectric interface; EM waves in a conducting medium and plasma.|Wave-particle duality, de-Broglie waves; Quantum mechanical operators; Schroedinger equation, Wave function, Statistical interpretation, Superposition Principle, Continuity equation for probability density; Stationary states, Bound states, Free-particle solution, 1-D infinite potential well, Expectation values and uncertainty relations; 1-D finite potential well, Quantum mechanical tunneling and alpha-decay, Kronig-Penny model and emergence of bands.
[3 - 0 - 2]
Introductory Biology for Engineers
Darwinian evolution & molecular perspective; Introduction to phylogeny - Classification systems in biology and relationships; Cellular assemblies From single cell to multi-cellular organisms: Geometry, Structure and Energetics; Comparing natural vs. humanmade machines; Infection, disease and evolution synergy and antagonism; Immunology An example of permutations and combinations in biology; Cancer biology Control and regulation; Stem cells Degeneracy in biological systems; Engineering designs inspired by biology Micro- to Macro- scales. |Laboratory: Biosafety; Buffers in biology - Measuring microlitres, Preparation of standard biological buffers, buffering capacity and pKa of buffers, response of cells and plant tissues in different buffering conditions; Observing cell surface and intracellular contents using light and fluorescence microscopy, measuring cellular motion using real-time video microscopy; Measuring and visualizing intracellular molecular components - Proteins and Genomic DNA
[0 - 0 - 6]
B.Tech. Project-I
[3 - 0 - 3]
Digital Electronics
Gates, binary number systems, arithmetic operations. Minimization using K-maps, reduced K-maps, tabular methods; design using multiplexers, decoders, and ROMs. Latches, flip-flops, registers and counters. Asynchronous, synchronous counters. Finite state machines, implementations thereof. Mealy, Moore machines. Clock period computation. Memories. Partitioning and pipelining. VHDL/Verilog, the register-transfer-level description style. Switch level introduction to logic families, CMOS logic, static, pre-charge and clocked logic. Asynchronous circuits and design styles.
[3 - 1 - 0]
Circuit Theory
Overview of network analysis techniques, network theorems, transient and steady-state sinusoidal response. Network graphs and their applications in network analysis. Tellegens theorem, two-port networks, Z, Y, h, g, and transmission matrices. Combining two ports in various configurations. Analysis of transmission lines to motivate the scattering matrix. Scattering matrix and its applications in network analysis. Network functions, positive real functions, and network synthesis. Butterworth and Chebyshev approximations. Synthesis of lossless two-port networks. Synthesis of lattice all-pass filters.
[3 - 1 - 0]
Review: AC Circuits, Complex representation and Power Measurement.|Magnetic Circuits: Simple magnetic circuit, analogy between magnetic circuits and electrical circuits, linear and nonlinear magnetic circuits, hysteresis and eddy current losses, permanent magnet materials.|Transformers: Single-phase and three-phase, analysis, equivalent circuit, Tests on transformers, phasor diagram regulation and efficiency, auto-transformer and instrument transformers (PT/CT).|Electro-mechanical energy conversion principles: Force and EMF production in a rotating machine.|DC machines: Types, construction, working principle, characteristics and applications.|3-phase induction machines: Types, construction, Introduction to windings and winding factor, production of revolving magnetic field, working principle on 3-phase induction machine, equivalent circuit, characteristics, phasor diagram and applications.|3-phase synchronous machines: Types, construction, working principle, equivalent circuit, characteristics, phasor diagram and applications.|Fractional-HP and Special Machines.
[3 - 1 - 0]
Signals and Systems
Motivation & orientation, Classifications of signals & systems, Dynamic representation of LTI systems (discrete & continuous-time systems), Fourier analysis of continuous-time signals & systems, Fourier analysis of discrete-time signals & systems, Nyquist sampling theorem, Laplace transform, The z-transform, Introduction to probability, random variables and stochastic processes.
[3 - 0 - 0]
Power Electronics
Introduction to Power Electronics devices and protection: Thyristor family devices, principle of operation, IGBT operation, principles and ratings. Snubber designs, selection and protection, Firing circuits.|AC-DC converters: uncontrolled, semi-controlled, fully controlled and dual converters in single-phase and three-phase configurations, design, phase control, harmonic analysis, firing circuits and their designs. Improved power quality AC-DC converters.|Choppers: Introduction to dc-dc conversion, various topologies, buck, boost, buck-boost converters, High frequency isolated dc-dc converters: design problems, PWM control and operation.|Inverters: Basics of dc to ac conversion, inverter circuit configurations and principle of operation, VSI and CSI, single and three-phase configurations, Square wave and sinusoidal PWM control methods and harmonic control. Design problems.|AC voltage controllers: Introduction to ac to ac conversion, single-phase and three-phase ac voltage controller circuit configurations, applications, advantages, harmonic analysis, control, design problems. |Cyclo-converters: single-phase to single-phase, three-phase to single-phase, three-phase to three-phase and single-phase to three-phase circuit configurations thyristors and triacs.
[3 - 1 - 3]
Analog Electronics
Review of working of BJT and MOSFET, large signal and small signal models, biasing schemes, analysis and design of various single stage amplifier configuration, low and high frequency analysis of single stage amplifiers, frequency compensation, current mirrors, multistage amplifiers; differential and operational amplifiers, negative and positive feedback, oscillators and power amplifiers.
[3 - 0 - 0]
Computer Architecture
Introduction: Performance measurement, Instruction Set Architecture, Computer Arithmetic, Processor: ALU design, Control design, Pipelining, Memory Hierarchy, I/O management, Multicores, Multiprocessors, Clusters, GPU.
[3 - 0 - 0]
Power Engineering-II
Advanced concepts in power flow analysis, security analysis and state estimation. Economic load dispatch and unit commitment problem. Voltage and frequency control in power systems. Advanced concepts in multi-machine dynamics and stability. Electrical transients in power systems. Wind and solar generation technologies and their integration into the grid. Issues in restructured power systems. Modern numerical protection.
[3 - 1 - 0]
Communication Engineering
Review of Fourier Series and Transforms. Hilbert Transforms, BandpassSignal and System Representation. Random Processes, Stationarity, Power Spectral Density, Gaussian Process, Noise. Amplitude Modulation, DSBSC, SSB, VSB: Signal Representation, Generation and Demodulation. Frequency Modulation: Signal Representation, Generation and Demodulation. Mixing, Superheterodyne Receiver, Phase Recovery with PLLs. Noise: in AM Receivers using Coherent Detection, in AM Receivers using Envelope Detection, in FM Receivers. Sampling, Pulse-Amplitude Modulation. Quantization, Pulse-Code Modulation. Noise considerations in PCM, Time Division Multiplexing, Delta Modulation. Intersymbol Interference, Introduction to Information Theory: concepts of Entropy and Source-Coding
[3 - 0 - 0]
Multivariable Control
Review of control system fundamentals and basic linear algebra. Introduction to linear dynamical systems and properties. State-space representation and canonical realizations. Relation between state-space and transfer function representations. Similarity transformation. Diagonalization. Jordan canonical form. Matrix exponential and its properties. Solution of state equations. Cayley-Hamilton Theorem, Stability: BIBO and internal. Linearization of nonlinear systems. Controllability and Observability. Minimal realization. State feedback and observer design. Linear Quadratic Regulator.
[3 - 0 - 2]
Machine Intelligence and Learning
Introduction to machine intelligence and intelligent agents; problem solving; knowledge representation and reasoning (logical and probabilistic); need for learning; basics of machine learning; Decision Trees; Rule-based models; linear learning models; Support Vector Machines; Artificial Neural Networks; Deep Learning; Probabilistic Modelling; Naive Bayes; Reinforcement Learning; Clustering; Feature Selection; Principal Component Analysis; Combining models; Philosophical issues in intelligence and learning. Substantive implementation assignments or a term project involving design of an intelligent learning-based system.
Block II, IIT Delhi Main Rd, IIT Campus, Hauz Khas, New Delhi, Delhi 110016