Dual Degree Programme · 2022 Batch · Electrical Engineering · IIT Bombay

Control & Computing

65 courses · 10 semesters · 381 total credits · 77 electives

Sem 1 Sem 2 Sem 3 Sem 4 Sem 5 Sem 6 Sem 7 Sem 8 Sem 9 Sem 10 Electives

Semester 1

Total: 39 + PP credits

#	Code	Course Name	Credits
1	EE103	Introduction to Electrical Engineering	6
2	MA 109	Calculus I	4
3	MA 111	Calculus II	4
4	MS 101	Makerspace	8
5	BB101	Biology	6
6	CH105	Organic & Inorganic Chemistry	4
7	CH107	Physical Chemistry	4
8	CH117	Chem lab	3
9	NOCS 01	NCC/NSS/NSO	PP
10	GC 101	Gender in the workplace	PP
Semester Total			39 + PP

Introduction to Electrical Engineering

EE103

Calculus I

MA 109

Calculus II

MA 111

Makerspace

MS 101

Biology

BB101

Organic & Inorganic Chemistry

CH105

Physical Chemistry

CH107

Chem lab

CH117

NCC/NSS/NSO

NOCS 01

Gender in the workplace

GC 101

Semester Total 39 + PP

Semester 2

Total: 39 + PP credits

#	Code	Course Name	Credits
1	EE114	Power Engineering- I (DIC-2)	6
2	MA 106	Linear Algebra	4
3	MA 108	Differential Equations	4
4	HS112/HS110/DE109/EC101	Introduction to the arts (H)/Introduction to Psychology/Introduction to Design/Economics-HASMED CORE	4
5	CS 101	Computer programming	6
6	PH 111	Introduction to classical physics	4
7	PH 112	Introduction to quantum physics	4
8	PH 117	Physics lab	3
9	NOCS 02	NCC/NSS/NSO	PP
10	SOM101	Introduction to Management	4
11	TA 101	Teaching Assistant Skill Enhancement & Training (TASET)	PP
Semester Total			39 + PP

Power Engineering- I (DIC-2)

EE114

Linear Algebra

MA 106

Differential Equations

MA 108

Introduction to the arts (H)/Introduction to Psychology/Introduction to Design/Economics-HASMED CORE

HS112/HS110/DE109/EC101

Computer programming

CS 101

Introduction to classical physics

PH 111

Introduction to quantum physics

PH 112

Physics lab

PH 117

NCC/NSS/NSO

NOCS 02

Introduction to Management

SOM101

Teaching Assistant Skill Enhancement & Training (TASET)

TA 101

Semester Total 39 + PP

Semester 3

Total: 33 credits

#	Code	Course Name	Credits
1	TBD	HASMED CORE	6
2	EE204	Analog Circuits	6
3	EE224	Digital Systems	6
4	EE214	Digital Systems lab	3
5	EE325	Probability and Random Processes	6
6	EE229	Signal Processing – I	6
Semester Total			33

HASMED CORE

TBD

Analog Circuits

EE204

Digital Systems

EE224

Digital Systems lab

EE214

Probability and Random Processes

EE325

Signal Processing – I

EE229

Semester Total 33

Semester 4

Total: 39 credits

#	Code	Course Name	Credits
1	DE 250	Design Thinking-HASMED CORE	6
2	EE230	Analog Circuits lab	3
3	EE309	Microprocessors	6
4	EE337	Microprocessors lab	3
5	EE207	Electronic Devices	6
6	EE302	Control Systems	6
7	EE238	Power Engineering – II	6
8	EE240	Power Engineering lab	3
Semester Total			39

Design Thinking-HASMED CORE

DE 250

EE230

EE309

EE337

EE207

EE302

Power Engineering – II

EE238

Power Engineering lab

EE240

Semester Total 39

Semester 5

Total: 39 credits

#	Code	Course Name	Credits
1	EE353	AI and Data Science	6
2	EE341	Communication Systems - I	6
3	EE301	EM Waves	6
4	TBD	HASMED Elective-1	6
5	EE340	Communications lab	3
6	EE324	Control Systems lab	3
7	EE236	Electronic Devices lab	3
8	TBD	Department Elective -1	6
Semester Total			39

AI and Data Science

EE353

Communication Systems - I

EE341

EM Waves

EE301

HASMED Elective-1

TBD

Communications lab

EE340

Control Systems lab

EE324

Electronic Devices lab

EE236

Department Elective -1

TBD

Semester Total 39

Semester 6

Total: 36 credits

#	Code	Course Name	Credits
1	TBD	Department Elective - 2	6
2	EE344	Electronics Design Lab	6
3	EE350	Technical Communication	6
4	TBD	HASMED Elective-2	6
5	TBD	Interdisciplinary STEM Elective-1	6
6	EE613	Nonlinear Dynamical Systems	6
Semester Total			36

Department Elective - 2

TBD

Electronics Design Lab

EE344

Technical Communication

EE350

HASMED Elective-2

TBD

Interdisciplinary STEM Elective-1

TBD

Nonlinear Dynamical Systems

EE613

Semester Total 36

Semester 7

Total: 42 credits

#	Code	Course Name	Credits
1	TBD	Department Elective - 3	6
2	TBD	Flexible Elective - 1	6
3	TBD	Interdisciplinary STEM Elective-2	6
4	EE635	Applied Linear Algebra	6
5	EE640	Multivariable Control Systems	6
6	TBD	Supervised Research Exposition	6
7	ES 200 & HS 200	Environment Studies	6
Semester Total			42

Department Elective - 3

TBD

Flexible Elective - 1

TBD

Interdisciplinary STEM Elective-2

TBD

Applied Linear Algebra

EE635

Multivariable Control Systems

EE640

Supervised Research Exposition

TBD

Environment Studies

ES 200 & HS 200

Semester Total 42

Semester 8

Total: 42 credits

#	Code	Course Name	Credits
1	TBD	Flexible Elective - 2	6
2	TBD	Flexible Elective - 3	6
3	TBD	Flexible Elective - 4	6
4	TBD	Flexible elective - 5	6
5	EE622	Optimal Control Systems	6
6	EE636	Matrix Computations	6
7	EE615	Control and Computing Laboratory	6
Semester Total			42

Flexible Elective - 2

TBD

Flexible Elective - 3

TBD

Flexible Elective - 4

TBD

Flexible elective - 5

TBD

Optimal Control Systems

EE622

Matrix Computations

EE636

Control and Computing Laboratory

EE615

Semester Total 42

Semester 9

Total: 36 credits

#	Code	Course Name	Credits
1	TBD	Dual Degree Project - I	36
Semester Total			36

Dual Degree Project - I

TBD

Semester Total 36

Semester 10

Total: 36 credits

#	Code	Course Name	Credits
1	TBD	Dual Degree Project - II	36
Semester Total			36

Dual Degree Project - II

TBD

Semester Total 36

Specialization Electives

#	Code	Course Name	Credits
1	EE769	Introduction to Machine learning	6
2	AE713	Space flight dynamics	6
3	AE688	Navigation of Autonomous Vehicles	6
4	AE686	Guidance of Aerospace Vehicles	6
5	SC627	Motion planning and coordination of autonomous vehicles	6
6	CS745	Principles of Data and System Security	6
7	EE605	Error Correcting Codes	6
8	EE6111	Robust Control	6
9	EE638	Estimation and Identification	6
10	EE608	Adaptive Signal Processing	6
11	EE649	Finite fields and their applications	6
12	EE659	A First Course in Optimization	6
13	EE714	Behavioral Theory of Systems	6
14	EE678	Wavelets	6
15	EE708	Information Theory and Coding	6
16	EE720	An Introduction to Number Theory and Cryptography	6
17	EE737	Introduction to Stochastic Control	6
18	EE749	Decentralized Control of Complex Systems	6
19	EE759	Applied Mathematical Analysis in Engineering	6
20	EE760	Advanced Network Analysis	6
21	EE779	Advanced Topics in Signal Processing	6
22	EE710	Large Sparse Matrix Computations	6
23	EE717	Advanced Computing for Electrical Engineers	6
24	CL602	Mathematical and Statistical Methods in Chemical Engineering	6
25	CL625	Process Modelling and Identification	6
26	CL653	State Estimation Theory and Applications	6
27	CL701	Computational Methods in Chemical Engineering	6
28	EE708	Information Theory and Coding	6
29	SC631	Games and Information	6
30	EE736	Introduction to Stochastic Optimization	6
31	EE749	Decentralized Control of Complex Systems	6
32	IE601	Optimization Techniques	6
33	SC617	Adaptive Control Theory	6
34	EE725	Computational Electromagnetics	6
35	EE760	Advanced Network Analysis	6
36	EE739	Processor Design	6
37	EE658	Power System Dynamics and Control	6
38	EE656	Electrical Machine Analysis and Control	6
39	CL647	Advanced Process Optimization	6
40	CL686	Advanced Process Control	6
41	SC700	Embedded Control System	6
42	SC612	Introduction to Linear Filtering and Beyond	6
43	EE712	Embedded Systems Design	6
44	EE737	Introduction to Stochastic Control	6
45	EE732	Combinatorial Optimization	6
46	SI419	Combinatorics/CS604 Combinatorics	6
47	IE616	Decision Analysis and Game Theory	6
48	IE716	Integer Programming: Theory and Computations	6
49	IE718	Networks, Games and Algorithms	6
50	IE804	Convex Analysis	6
51	CS726	Machine learning theory	6
52	ME766	High Performance Scientific Computing	6
53	EE793	Topics In cryptology	6
54	ME604	Robotics	6
55	SC645	Intelligent Feedback and Control	6
56	CS745	Principles of Data and System Security	6
57	AE700	Guidance and control of unmanned autonomous vehicles	6
58	SC627	Motion planning and coordination of autonomous vehicles	6
59	EE712	Embedded Systems Design	6
60	CS684	Embedded systems	6
61	SC700	Embedded Control System	6
62	CS725	Foundations of Machine Learning	6
63	EE769	Introduction to Machine learning	6
64	CS791	Probabilistic foundations of AI (previously CS726)	6
65	EE782	Advanced topics in machine learning	6
66	EE638	Estimation and Identification	6
67	SC612	Introduction to Linear Filtering and Beyond	6
68	CL653	State Estimation Theory and Applications	6
69	CS747	Foundations of Intelligent and Learning Agents	6
70	EE736	Introduction to Stochastic Optimization	6
71	IE708	Markov Decision Processes	6
72	IE616	Decision Analysis and Game Theory	6
73	SC631	Games and Information	6
74	IE718	Networks Games and Algorithms	6
75	CS6001	Game Theory and Algorithmic Mechanism Design	6
76	SI419	Combinatorics	6
77	CS604	Combinatorics	6