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	EE 114	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)

EE 114

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	EE 230	Analog Circuits lab	3
3	EE 309	Microprocessors	6
4	EE 337	Microprocessors lab	3
5	EE 207	Electronic Devices	6
6	EE 302	Control Systems	6
7	EE238	Power Engineering – II	6
8	EE240	Power Engineering lab	3
Semester Total			39

Design Thinking-HASMED CORE

DE 250

Analog Circuits lab

EE 230

Microprocessors

EE 309

Microprocessors lab

EE 337

Electronic Devices

EE 207

Control Systems

EE 302

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	EE 340	Communications lab	3
6	EE 324	Control Systems lab	3
7	EE 236	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

EE 340

Control Systems lab

EE 324

Electronic Devices lab

EE 236

Department Elective -1

TBD

Semester Total 39

Semester 6

Total: 36 credits

#	Code	Course Name	Credits
1	TBD	Department Elective - 2	6
2	EE 344	Electronics Design Lab	6
3	EE 350	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

EE 344

Technical Communication

EE 350

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

Programme Total

381 Credits

65 courses

10 semesters

77 electives

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

Introduction to Machine learning

EE769

Space flight dynamics

AE713

Navigation of Autonomous Vehicles

AE688

Guidance of Aerospace Vehicles

AE686

Motion planning and coordination of autonomous vehicles

SC627

Principles of Data and System Security

CS745

Error Correcting Codes

EE605

Robust Control

EE6111

Estimation and Identification

EE638

Adaptive Signal Processing

EE608

Finite fields and their applications

EE649

A First Course in Optimization

EE659

Behavioral Theory of Systems

EE714

Wavelets

EE678

Information Theory and Coding

EE708

An Introduction to Number Theory and Cryptography

EE720

Introduction to Stochastic Control

EE737

Decentralized Control of Complex Systems

EE749

Applied Mathematical Analysis in Engineering

EE759

Advanced Network Analysis

EE760

Advanced Topics in Signal Processing

EE779

Large Sparse Matrix Computations

EE710

Advanced Computing for Electrical Engineers

EE717

Mathematical and Statistical Methods in Chemical Engineering

CL602

Process Modelling and Identification

CL625

State Estimation Theory and Applications

CL653

Computational Methods in Chemical Engineering

CL701

Information Theory and Coding

EE708

Games and Information

SC631

Introduction to Stochastic Optimization

EE736

Decentralized Control of Complex Systems

EE749

Optimization Techniques

IE601

Adaptive Control Theory

SC617

Computational Electromagnetics

EE725

Advanced Network Analysis

EE760

Processor Design

EE739

Power System Dynamics and Control

EE658

Electrical Machine Analysis and Control

EE656

Advanced Process Optimization

CL647

Advanced Process Control

CL686

Embedded Control System

SC700

Introduction to Linear Filtering and Beyond

SC612

Embedded Systems Design

EE712

Introduction to Stochastic Control

EE737

Combinatorial Optimization

EE732

Combinatorics/CS604 Combinatorics

SI419

Decision Analysis and Game Theory

IE616

Integer Programming: Theory and Computations

IE716

Networks, Games and Algorithms

IE718

Convex Analysis

IE804

Machine learning theory

CS726

High Performance Scientific Computing

ME766

Topics In cryptology

EE793

Robotics

ME604

Intelligent Feedback and Control

SC645

Principles of Data and System Security

CS745

Guidance and control of unmanned autonomous vehicles

AE700

Motion planning and coordination of autonomous vehicles

SC627

Embedded Systems Design

EE712

Embedded systems

CS684

Embedded Control System

SC700

Foundations of Machine Learning

CS725

Introduction to Machine learning

EE769

Probabilistic foundations of AI (previously CS726)

CS791

Advanced topics in machine learning

EE782

Estimation and Identification

EE638

Introduction to Linear Filtering and Beyond

SC612

State Estimation Theory and Applications

CL653

Foundations of Intelligent and Learning Agents

CS747

Introduction to Stochastic Optimization

EE736

Markov Decision Processes

IE708

Decision Analysis and Game Theory

IE616

Games and Information

SC631

Networks Games and Algorithms

IE718

Game Theory and Algorithmic Mechanism Design

CS6001

Combinatorics

SI419

Combinatorics

CS604

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