Master of Technology in Computer Technology
Department of Electrical Engineering
Overall credit structure
Category PC PE OC Total
1 2
Credits 21 24/27 3/6 51
Sem Courses Lecture Contact hrs/week Credits
Courses
L T P Total
I [PC-1] [PC-2] [PC-3] [PE-1] [PE-2] 5 15 0 0 15 15
ELL780 ELL781 ELL782 ZZyxxx ZZyxxx
Mathematical Software Computer (3-0-0) (3-0-0)
Foundations Architecture
of Computer Fundamental (3-0-0)
Technology s for
(3-0-0) Computer
Technology
(3-0-0)
II [PC-4] [PC-5] [PE-3] [PE-4] 4 9 0 6 15 12
ELL783 ELD780 ZZyxxx ZZyxxx
Operating Minor Project (3-0-0) (3-0-0)
Systems (0-0-4)
(3-0-2)
Summer: [PC-6] ELD880 Major Project Part 1 (for M.Tech with Dissertation)
III [PC-6] [PE-5] [OE-1] 2 6 0 12 18 12
(M.Tech ELD880 ZZyxxx ZZyxxx
with Major Project (3-0-0) (3-0-0)
DIsserta Part 1
tion) (0-0-12)
III [PE-5] [PE-6] [PE-7]/[OE- [PE-8]/[OE- 4 12 0 0 12 12
(M.Tech ZZyxxx ZZyxxx 1] 2]
without (3-0-0) (3-0-0) ZZyxxx ZZyxxx
Disserta (3-0-0) (3-0-0)
tion)
1 Related to point 2, below:
2 Those not opting for the Dissertation can do a maximum of 6 OC credits; those opting for the Dissertation can do a maximum of 3
OC credits.
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IV [PE-6] 0 0 0 24 24 12
(M.Tech ELD881
with Major Project
Disserta Part 2
tion) (0-0-24)
IV [PC-6] [PE-7]/[OE-1] [PE-8]/[OE- 2 6 0 12 18 12
(M.Tech ELD880 ZZyxxx 2]
without Major Project (3-0-0) ZZyxxx
Disserta Part 1 (3-0-0)
tion) (0-0-12)
Notes:
● The example above considers only lecture courses (ZZLxxx). The total number of credits for
Semesters II, III, and IV can be composed of other 3-credit laboratory courses (ZZPxxx) as well,
as mentioned in the baskets below. If the course is that of the Department of Electrical
Engineering, ZZ would be EL, for instance.
● There are three types of courses: Programme Core (PC), Programme Elective (PE), Open
Elective (OE). Any course in the list of Programme Cores is a PC, any course in the list of
Programme Electives is a PE, and all other courses can be considered OEs.
● The Programme Electives (PEs) have been structured as follows. A student has to choose from
one of the five possible streams in the programme: Cognitive and Intelligent Systems (CIS),
Embedded Intelligent Systems (EIS), Computer Communication and Networks (CCN), Multimedia
Information Processing (MIP), and Internet Technologies (IT). The PEs that must be taken
corresponding to a particular stream are listed in the table below. To emphasise this fact, these
courses are written in italicised bold-face as the first two courses of each stream, in the list of
PEs associated with the particular streams. The remaining PEs should preferably be taken from
within the PE list specified for the student’s chosen stream.
Stream Course Numbers and Titles
CIS ELL784: Introduction to Machine Learning ELL786: Multimedia Systems
EIS ELL784: Introduction to Machine Learning ELL787: Embedded Systems and Applications
CCN ELL785: Computer Communication ELL786: Multimedia Systems
Networks
MIP ELL786: Multimedia Systems ELL787: Embedded Systems and Applications
IT ELL784: Introduction to Machine Learning ELL785: Computer Communication Networks
● A Programme Elective (PE) can be taken in place of an Open Elective (OE)
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● Students registering for Program Elective ELD881 Major Project Part 2, will have printed on their
transcript, ‘M.Tech with Dissertation’.
● Courses mentioned in red colour: from other groups/Departments
Programme Core (PC)
Course# Title L-T-P Credits
ELL780 Mathematical Foundations of Computer Technology 3-0-0 3
ELL781 Software Fundamentals for Computer Technology 3-0-0 3
ELL782 Computer Architecture 3-0-0 3
ELL783 Operating Systems 3-0-2 4
ELD780 Minor Project 0-0-4 2
ELD880 Major Project Part 1 0-0-12 6
Programme Electives (PE): General
Course# Title L-T-P Credits
ELD881 Major Project Part 2 0-0-24 12
ELL880 Special Topics in Computers 1 3-0-0 3
ELL881 Special Topics in Computers 2 3-0-0 3
ELV780 Special Module in Computers 1-0-0 1
ELS880 Independent Study 3-0-0 3
Programme Electives (PE): Stream: Cognitive and Intelligent Systems (CIS)
Course# Title L-T-P Credits
ELL784 Introduction to Machine Learning 3-0-0 3
ELL786 Multimedia Systems 3-0-0 3
ELL785 Computer Communication Networks 3-0-0 3
ELL787 Embedded Systems and Applications 3-0-0 3
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ELL704 Advanced Robotics 3-0-0 3
ELL884 Information Retrieval 3-0-0 3
ELL789 Intelligent Systems 3-0-0 3
ELL882 Large-Scale Machine Learning 3-0-0 3
ELL799 Natural Computing 3-0-0 3
ELL796 Signals and Systems in Biology 3-0-0 3
ELL707 Systems Biology 3-0-0 3
ELL788 Computational Perception and Cognition 3-0-0 3
ELL891 Computational Linguistics 3-0-0 3
ELL886 Big Data Systems 3-0-0 3
ELL887 Cloud Computing 3-0-0 3
ELL741 Neuromorphic Engineering 3-0-0 3
ELL791 Neural Systems and Learning Machines 3-0-2 4
ELL888 Advanced Machine Learning 3-0-0 3
ELL793 Computer Vision 3-0-0 3
ELL715 Digital Image Processing 3-0-0 3
ELL798 Agent Technology 3-0-0 3
ELL795 Swarm Intelligence 3-0-0 3
ELL794 Human-Computer Interface 3-0-0 3
ELL893 Cyber-Physical Systems 3-0-0 3
ELL883 Embedded Intelligence 3-0-0 3
ELL885 Machine Learning for Computational Finance 3-0-0 3
ELL890 Computational Neuroscience 3-0-0 3
Programme Electives (PE): Stream: Embedded Intelligent Systems (EIS)
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Course# Title L-T-P Credits
ELL784 Introduction to Machine Learning 3-0-0 3
ELL787 Embedded Systems and Applications 3-0-0 3
ELL785 Computer Communication Networks 3-0-0 3
ELL786 Multimedia Systems 3-0-0 3
ELP780 Software Lab 0-1-4 3
ELP781 Digital Systems Lab 0-1-4 3
ELL704 Advanced Robotics 3-0-0 3
ELL735 Analog Integrated Circuits 3-0-0 3
ELL734 MOS VLSI 3-0-0 3
ELL748 System-on-Chip Design and Test 3-0-0 3
ELL731 Mixed Signal Circuit Design 3-0-0 3
COLxxx Synthesis of Digital Systems 3-0-0 3
ELL790 Digital Hardware Design 3-0-0 3
ELL720 Digital Signal Processing 1 3-0-0 3
COLxxx System Level Design and Modelling of Digital Systems 3-0-0 3
ELL899 Testing and Fault Tolerance 3-0-0 3
ELL802 Adaptive and Learning Control 3-0-0 3
ELL767 Mechatronics 3-0-0 3
ELL766 Appliance Systems 3-0-0 3
ELL898 Pervasive Computing 3-0-0 3
ELL887 Cloud Computing 3-0-0 3
ELL728 Optoelectronic Instrumentation 3-0-0 3
ELL883 Embedded Intelligence 3-0-0 3
ELL791 Neural Systems and Learning Machines 3-0-2 4
ELL797 Energy-Efficient Computing 3-0-0 3
ELL733 Digital ASIC Design 3-0-2 4
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ELP831 IEC Laboratory-I 0-0-6 3
Programme Electives (PE): Stream: Computer Communication and Networks (CCN)
Course# Title L-T-P Credits
ELL785 Computer Communication Networks 3-0-0 3
ELL786 Multimedia Systems 3-0-0 3
ELL784 Introduction to Machine Learning 3-0-0 3
ELL787 Embedded Systems and Applications 3-0-0 3
ELP780 Software Lab 3-0-0 3
ELP782 Computer Networks Lab 0-1-4 3
ELP781 Digital Systems Lab 0-1-4 3
ELL711 Signal Theory 3-0-0 3
ELL894 Network Performance Modeling and Analysis 3-0-0 3
ELL889 Protocol Engineering 3-0-0 3
ELL892 Internet Technologies 3-0-0 3
ELL895 Network Security 3-0-0 3
ELL896 Mobile Computing 3-0-0 3
ELL897 Network Management 3-0-0 3
ELL723 Broadband Communication Systems 3-0-0 3
ELL714 Basic Information Theory 3-0-0 3
ELL813 Advanced Information Theory 3-0-0 3
ELL716 Telecom Switching and Transmission 3-0-0 3
ELL710 Coding Theory 3-0-0 3
ELL712 Digital Communications 3-0-0 3
ELL816 Satellite Communication 3-0-0 3
ELL818 Telecom Technologies 3-0-0 3
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ELL817 Access Networks 3-0-0 3
ELL725 Wireless Communication 3-0-0 3
ELP725 Wireless Communication Lab 0-1-4 3
ELL717 Optical Communication Systems 3-0-0 3
ELL820 Photonic Switching and Networking 3-0-0 3
ELP720 Telecommunication Networks Laboratory 0-1-4 3
ELP821 Advanced Telecommunication Networks Laboratory 0-1-4 3
ELP822 Network Software Laboratory 0-1-4 3
ELL898 Pervasive Computing 3-0-0 3
ELL887 Cloud Computing 3-0-0 3
ELL797 Energy-Efficient Computing 3-0-0 3
Programme Electives (PE): Stream: Multimedia Information Processing (MIP)
Course# Title L-T-P Credits
ELL786 Multimedia Systems 3-0-0 3
ELL787 Embedded Systems and Applications 3-0-0 3
ELL784 Introduction to Machine Learning 3-0-0 3
ELL785 Computer Communication Networks 3-0-0 3
ELL715 Digital Image Processing 3-0-0 3
ELL720 Digital Signal Processing 1 3-0-0 3
ELL792 Computer Graphics 3-0-0 3
CRL707 Human and Machine Speech Communication 3-0-0 3
ELL793 Computer Vision 3-0-0 3
ELL788 Computational Perception and Cognition 3-0-0 3
ELL882 Large Scale Machine Learning 3-0-0 3
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ELL711 Signal Theory 3-0-0 3
ELL719 Detection and Estimation 3-0-0 3
ELL718 Statistical Signal Processing 3-0-0 3
ELL714 Basic Information Theory 3-0-0 3
ELL813 Advanced Information Theory 3-0-0 3
ELL710 Coding Theory 3-0-0 3
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Programme Electives (PE): Stream: Internet Technologies (IT)
Course# Title L-T-P Credits
ELL784 Introduction to Machine Learning 3-0-0 3
ELL785 Computer Communication Networks 3-0-0 3
ELL786 Multimedia Systems 3-0-0 3
ELL787 Embedded Systems and Applications 3-0-0 3
ELP781 Digital Systems Lab 0-1-4 3
ELP721 Embedded Telecom Systems Lab 0-1-4 3
ELL892 Internet Technologies 3-0-0 3
ELP780 Software Lab 0-1-4 3
ELP782 Computer Networks Lab 0-1-4 3
ELL798 Agent Technologies 3-0-0 3
ELL896 Mobile Computing 3-0-0 3
ELL884 Information Retrieval 3-0-0 3
ELL898 Pervasive Computing 3-0-0 3
ELL766 Appliance Systems 3-0-0 3
ELL895 Network Security 3-0-0 3
ELL765 Smart Grid Technology 3-0-0 3
ELL772 Planning and Operation of a Smart Grid 3-0-0 3
ELP855 Smart Grids Lab 0-1-4 3
ELL723 Broadband Communication Systems 3-0-0 3
ELL887 Cloud Computing 3-0-0 3
ELL797 Energy-Efficient Computing 3-0-0 3
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