Indian Institute of Technology (IIT) Bombay


Available Courses

Learn about
(1) Search: Uninformed search, A* search, adversarial search, local search.
(2) Planning: Markov Decision Problems, Value Iteration, and Policy Literacy.
(3) Probabilistic reasoning: Bayes nets, conditional independence, exact inference and estimates.
(4) Supervised learning: Linear methods for classification and regression, regularization, cross-validation, decision trees, neural networks, ensemble methods.
(5) Unsupervised learning: k-means grouping.
(6) Selected topics from natural language processing, robotics, computer vision, multi-agent systems

This courses requires knowledge in C programming and Boolean algebra apart from digital logic. The topics covered are:
Von-Neumann architectures; instruction sets; RISC and CISC designs; single cycle data path design, instruction pipelines and stalls; rearranging code; memory and address spaces; physical and virtual memory; interleaving; page tables; memory caches; bus architecture; polling and interrupts; DMA; device programming; assembly language; optimizations; parallelism; data pipelining. The course comprises both lecture-format classes to examine course topics and laboratory hands-on experience with assembly language programming, pipelining and cache simulators.

Studying • Signal and system review, Fourier transform and random processing • Lowpass representation of bandpass signals and systems: down and up conversion, lowpass representation of bandpass systems • Analog modulation techniques: Amplitude modulation, DSB, SSB , VSB modulation, Angle modulation: FM and PM †Pulse sampling, quantization and modulation: Pulse amplitude modulation and sampling, PCM and DPCM, Delta modulation, scalar and vector quantization • Overview of multiplexing and multiple access techniques: TDM (A) , CDMA, FDM and OFDM(A) • Digital modulation techniques: PSK, ASK, FSK, QAM basics; Implementation of an ML demodulator with matched filters, decision regions, and possible error analysis. • Digital communication over band-limited channels: Inter-symbol interference, Nyquist criteria for ISI-free pulses, increased cosine pulses, ML sequence detection for band-limited channels. • Optional topics: Hardware/Software Radio Demo, PLL and Sync

Study transmission line equations, loaded and unloaded transmission line impedance, reflection, VSWR, Smith diagram and its use in impedance matching and other transmission line problems, propagation of electromagnetic waves in various media, reflection and refraction at different limits, total reflection and polarization angle , propagation of ground and sky waves, parallel planes and rectangular waveguides, attenuation of waveguides, electromagnetic wave radiation and dipole arrays for medium and shortwave transmission.

Origin of Soils and Rocks; Rock cycle; Basic relationships; Index properties of aggregates; Soil structure; Soil classification; Soil compaction; laboratory compaction; factors affecting soil compaction; Field compaction; Soil-water statics; Effective stress; Capillarity phenomenon in soils; Flow through soils; Quick sand condition; Permeability and methods for its determination; Flownets; Stresses in soil from surface loads; Boussinesq theory; New marks chart, Contact pressures; Consolidation of soils; Settlement of compressible soil layers.

Learn the design of RCC water tanks, silos, bunkers and simple bridges, steel roof truss designs, steel trusses, industrial building designs, residential building designs, arch and shell designs.

A study and examination of the logical, epistemological and ethical problems in the classical schools of Indian Philosophy, science and metaphysics in ancient India. The course will emphasize the insights of ancient Indian thinkers and their perennial preoccupation with issues centering on man and his being in the world in society.

This course is designed for the final year engineering students. It has four interrelated goals. The first is to make the prospective engineers familiar with the basic concepts of organizational behaviour. Second is to introduce the management and behaviour sciences theories along with their application for managing people at work. The third is to introduce major components of American and Japanese management. Finally, an attempt will be made to critically examine all management strategies of organizational behaviour in reference to Indian organizations. The course will be of help in applying engineering knowledge more effectively in the field of business management and entrepreneurship development.

The course on Animation Engineering & Style Studies was developed and used over many years in animation. The entire animation process from script to screen is in progress for an animated film (short or feature). Covers an Overview of the Animation Process – Preproduction, Production, Post Production, exploring the look and feel of animation through concept art, character design planning, layout design, illustration styles, composition, staging, backgrounds, an exposure to various animation techniques, workshops using 2D techniques and 3D in Computer, Film, Video, professional stop-motion animation puppet production and useable props as well as Animation Production, Estimation and Distribution planning.

A brief history of automobiles; from Coach building to Mass Production Vehicle Types, Configurations. Vehicle Construction and Architecture, Trends and Developments Vehicle Design process, Concept to Realization Vehicle Ergonomics and Packaging Styling/ Vehicle Form, Vehicle Aerodynamics and Form, Brand Styles and Values, Styling Trends Concept Sketching and Presentation Skills, CAD Skills, Modelling skills

Broad overview of marketing: Nature & Scope Core Marketing Concepts and Tasks Market Environment scanning Consumer Behavior and customer value Market Segmentation, Targeting and Positioning, Product and Brand concepts Pricing decisions Marketing Channels : Distribution and direct marketing Marketing communication and Promotion Personal Selling Marketing Information System, Sales Forecasting And marketing Research.

Competitiveness concept: need, views, definitions; Competitiveness across levels: product/service, firm, industry; Frameworks/models of competitiveness, Competitiveness Assets-Processes-Performance(APP) framework; Industry analysis, Diamond model and extensions; Industry value system analysis ;Evaluating competitiveness: factors, criteria, Benchmarking; Sources of competitiveness; Business excellence concept, models & practices; Enhancing competitiveness, identifying drivers, country competitiveness.

An overview of the basic concepts of real numbers: Archimedean properties, Completeness, then also discusses metric spaces, compactness, connectedness, (with an emphasis on Rn), continuity and uniform continuity. This course covers monotonous functions, functions of finite variation, derivatives of functions and Taylor’s theorems, Riemann integrals and their properties, characterization of Riemann integral functions, improper integrals, and Gamma functions. Sequences and series of functions, uniform convergence and their relationship to continuity, differentiation and integration, Fourier series, point convergence, Fejer’s theorem, Weierstrass approximation theorem are also covered in this course.

Review of solution methods for first order as well as second order equations, Power Series methods with properties of Bessel functions and Legendre polynomials.Existence and Uniqueness of Initial Value Problems: Picard`s and Peano`s Theorems, Gronwall`s inequality, continuation of solutions and maximal interval of existence, continuous dependence.Higher Order Linear Equations and linear Systems: fundamental solutions, Wronskian, variation of constants, matrix exponential solution, behaviour of solutions. Two Dimensional Autonomous Systems and Phase Space Analysis: critical points, proper and improper nodes, spiral points and saddle points. Asymptotic Behavior: stability (linearized stability and Lyapunov methods).Boundary Value Problems for Second Order Equations: Green`s function, Sturm comparison theorems and oscillations, eigenvalue problems.

Primary Energy Chain and Energy Analysis course. Overview of modeling-level analysis, discusses the steps in model development, model examples. Some of the techniques discussed are quantitative techniques: interpolation – polynomials, lagrangian. curvefitting, regression analysis, transcendental equation solutions, simulation of systems-information flow diagrams, solutions to sets of nonlinear algebraic equations, sequential substitution, Newton Raphson. An example of an optimization energy system simulation is in the form of objectives/constraints, problem formulations. Unlimited issues, necessary conditions & adequacy. Limited optimization- lagrange multiplier, finite variation, Kuhn-Tucker condition. Linear Programming – Simplex tableau, rotating, sensitivity analysis. Dynamic Programming, Univariate/Multivariate Search Techniques, probabilistic techniques, to trade-offs between capital & energy using Pinch Analysis, energy economy models, numerical solutions of Differential equations- Overview, Convergence, Accuracy and Temporary analysis- examples of applications.

Studying limits, continuity, differentiation and integration. theorem, Taylor’s theorem, mean value theorem, basic theorem of integral calculus. Includes Vector calculus: vector fields, surface/line integrals, grads/divergences/curls, Gaussian and Stroke are theorems. In addition, also understand Linear Algebra: vector spaces, internal products, powers, inverses, eigenvalues and eigenvectors, ordinary differential equations: 1st order ODE, solution techniques, nth order ordinary linear differential equations, operator methods, systems of equations differential, Phase plane, Critical point, Stability, infinite series and series, series and series, Cauchy criterion, convergence test, absolute and conditional convergence, uniform convergence, power series, radius of convergence of power series method for solutions of ordinary differential equations and Laplace transforms Fourier series.

Includes teaching about
1. Background: Materials & History; The concept of embodied energy; classification of materials based on the energy contained; Material classification index.
2. Sustainability & Sustainable Development: Definition; Concept emphasis; 3 P’s of sustainable development; Example.
3. Methodology of sustainable development assessment: Tools and checklists for assessment; Example.
4. Herfindahl-Hirschmann index: Indexing methodology; Corporate responsibility vis- -vis Sustainability; Example.
5. Methodology for Case Studies.
6. Case studies across the spectrum: Energy; Construction; Steel; Food; ———.
7. Guidelines for future development: Ecological considerations; circular material economy; typical example. This course will have a classic teaching mode along with a short project and discussion. the split will be around 70 to 30 for the two formats each. Evaluation will be based on tests, exams, class participation and presentation of a project-cum report.

Learn some understanding of:
A. Vacuum components and systems: The need for vacuum, how to achieve vacuum, vacuum determination, dry and steam pumps, pressure gauges, conductance, and other system design considerations.
B. Thin film deposition techniques: Physical and chemical vapor deposition techniques include molecular beam epitaxy, laser ablation and hot wire techniques and microwave CVD. Film contamination, cosine law of deposition, conformal coverage and line of sight deposition.
C. Thin film growth: Thermodynamic and kinetic considerations of thin film deposition by CVD and PVD. In situ characterization of the thin film deposition process.
D. Thin film characterization: Various methods of thickness measurement, electrical, optical, chemical and structural property determination.
E. Some important applications of thin films: Hard and decorative coatings, semiconductor thin films, organic thin films.

Conduct a review of conservation equations, lumped parameter approach that leads to non-linear equations, numerical solutions of non-linear equations. In addition, it also learns the concepts of rounding errors, overflows, error dispersion, problems that lead to a system of linear equations, techniques for solving systems of linear equations (direct and iterative), scaling and nondimensionalization, linear and non-linear regression techniques to correlate experimental data, Numerical integration. , form factor calculation. Thermal and fluid problems leading to ODE. Initial problems, boundaries and eigenvalues. The ODE solution uses the marching method and the finite difference method. Characterization of partial differential equations, Numerical solutions of elliptic, parabolic and hyperbolic equations encountered in heat transfer and fluid flow.

Introduction, Review of combinational logic circuits. Intro to Sequential circuits, prelim design of sequential circuits, flip-flops. Registers, counters, tri-state logic, Register-register data transfer. Timing and control circuitry. Sequential circuit design examples design considerations for arriving at appropriate data/control paths. Functional architecture of microprocessors, terminology. Intro to Microcontroller Programming. Interfacing 302226 A/D, D/A, Timer. Introduction to feedback, dynamic system behaviour. Math review: Fourier series, transforms, LTI systems, notion of stability. Non-linear system behaviour, linearization. Linear feedback controller design 302226 frequency response based methods. PID control. Sampling theorem, Digital implementation of controllers

Kompleks Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi. Gedung D Lantai 18, Jalan Jenderal Sudirman, Pintu Satu, Senayan, Jakarta, Indonesia 10270

Partners: [email protected]
Students: [email protected]