M.Tech Programme · EE1 · Electrical Engineering · IIT Bombay

Communication & Signal Processing

Credit Structure

Course Type	Sem 1	Sem 2	Sem 3	Sem 4	Range / Total
Core Courses	18	6	0	0	24
Elective	12	12-18	12-6	0	36
Institute Elective	0	6-0*	0-6*	0	6
Courses outside dept.	0	0	0	0	0
Lab Courses	0	0	0	0	0
Seminar	4	0	0	0	4
R&D Project	0	0	0	0	0
Communication (P/NP)	+6	0	0	0	+6
Training (P/NP)	0	0	0	0	0
Course Total	34+6	24	12	0	70+6
Project	0	42	0	48	90
Total Credits	34+6	66	12	48	160+6

Sem 1 Sem 2 Sem 3 Sem 4 Electives

Semester 1

Total: 46 credits

Course Code	Course Name	L	T	P	C
EE601	Statistical Signal Analysis	3	0	0	6
EE603	Digital Signal Processing & its Applications	3	0	0	6
EE609	Radiating Systems	3	0	0	6
EE7003	Principle of Digital Communication	3	0	0	6
EE694	Seminar	0	0	0	4
EE899	Communication Skills	0	0	0	6
—	Elective 1	—	—	—	6
—	Elective 2	—	—	—	6
Total					46

Semester 2

Total: 72 credits

Course Code	Course Name	L	T	P	C
EE706	Communication Networks	3	0	0	6
EE708	Information Theory and Coding	3	0	0	6
EE797	Project Stage 1	—	—	—	42
—	Elective 3	—	—	—	6
—	Elective 4	—	—	—	6
—	Elective 5 or Institute Elective	—	—	—	6
Total					72

Semester 3

Total: 12 credits

Course Code	Course Name	C
—	Elective 6	6
—	Institute Elective or Elective 7	6
Total		12

Semester 4

Total: 48 credits

Course Code	Course Name	C
EE798	Project Stage 2	48
Total		48

Electives

List of Electives (1-7) (55 courses)

#	Course Code	Course Name	C
1	EE465	Cryptocurrency and Blockchain Technologies	6
2	EE602	Radar Systems	6
3	EE605	Error Correcting Codes	6
4	EE606	Fiber Optic Communications	6
5	EE609	Radiating Systems	6
6	EE610	Image Processing	6
7	EE611	Microwave Integrated Circuits	6
8	EE613	Nonlinear Dynamical Systems	6
9	EE614	Solid State Microwave Device and their Applications	6
10	EE619	RF Microelectronics Chip Design	6
11	EE621	Markov Chains & Queuing Systems	6
12	EE622	Optimal Control Systems	6
13	EE635	Applied Linear Algebra in Electrical Engineering	6
14	EE636	Matrix Computations	6
15	EE638	Estimation and Identification	6
16	EE640	Multivariable Control Systems	6
17	EE649	Finite Fields and their Applications	6
18	EE659	A First Course in Optimization	6
19	EE678	Wavelets	6
20	EE679	Speech Processing	6
21	EE702	Computer Vision	6
22	EE706	Communication Networks	6
23	EE708	Information Theory and Coding	6
24	EE710	Large Sparse Matrix Computations	6
25	EE720	Introduction to Number Theory and Cryptography	6
26	EE725	Computational Electromagnetics	6
27	EE726	Advanced Information Theory and Coding	6
28	EE732	Combinatorial Optimization	6
29	EE734	Advanced Probability And Random Processes For Engineers	6
30	EE736	Introduction to Stochastic Optimization	6
31	EE737	Introduction to Stochastic Control	6
32	EE740	Advanced Communication Networks	6
33	EE746	Neuromorphic Engineering	6
34	EE754	Advanced Error Correcting Codes	6
35	EE756	Network Information Theory	6
36	EE758	Internet Economics	6
37	EE759	Applied Mathematical Analysis in Engineering	6
38	EE761	Advanced Concentration Inequalities	6
39	EE764	Wireless and Mobile Communications	6
40	EE766	Random Graphs: Theory and Applications	6
41	EE769	Introduction to Machine Learning	6
42	EE771	Recent Topics in Analytical Signal Processing	6
43	EE777	Network Security	6
44	EE779	Advanced Topics in Signal Processing	6
45	EE780	Terahertz: Technology and Applications	6
46	EE782	Advanced Machine Learning	6
47	EE785	Electromagnetic Interference and Compatibility	6
48	EE793	Topics in Cryptology	6
49	EE799	Advanced Antennas	6
50	EE6103	Advanced Network Security	6
51	EE6104	Internet of Things	6
52	EE6106	Online learning and optimization	6
53	EE800	High-Speed Interconnects: Signaling and Synchronization	6
54	EE7001	Quantum Communications and Networking	6
55	EE467	Energy Data Analytics	6

Non-EE Electives (18 courses) — At most 2 out of the 6 department electives can be from this list.

#	Course Code	Course Name	C
1	CS763	Computer Vision	6
2	CS726	Advanced Machine Learning	6
3	CS736	Medical Image Computing	6
4	CS753	Automatic Speech Recognition	6
5	CS769	Optimisation in Machine Learning	6
6	CS754	Advanced Image Processing	6
7	CS663	Fundamentals of Digital Image Processing	6
8	CS405 or CS6001	Game Theory and Algorithmic Mechanism Design	6
9	IE708	Markov Decision Processes	6
10	CS747	Foundations of Intelligent and Learning Agents	6
11	CS745	Principles of Data and System Security	6
12	IE506	Machine Learning: Principles and Techniques	6
13	IE616	Introduction to Game theory	6
14	CS765	Introduction to Blockchains, Cryptocurrencies, and Smart Contracts	6
15	GNR638	Machine learning in remote sensing II	6
16	GNR652	Machine learning in remote sensing I	6
17	CS406	Cryptography and Network Security	6
18	CS772	Deep Learning for Natural Language Processing	6

Notes

→ The thesis must lead to work of reputably publishable, patentable, or deployable quality.

→ Any choice of elective beyond the stipulated rules requires prior faculty advisor approval.

→ Semester 1 core: 3 courses from {EE601, EE603, EE609, EE7003} (18 credits). The remaining one may be taken as Elective 1 or 2.

→ Semester 2 core: 1 course from {EE706, EE708} (6 credits). The other may be taken as an elective.

→ Institute Elective: can be taken in Sem 2 or Sem 3. If in Sem 2, elective credits = 12; if in Sem 3, elective credits = 18.

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