Electronics Communication and Artificial Intelligence curriculum

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(Curriculum under Process of Approval)

The programme aims to develop industry-ready professionals and researchers by integrating the fundamentals of Electronics and Communication Engineering with emerging areas of  Artificial Intelligence and intelligent computing. The curriculum includes core subjects in electronics, communication systems, signal processing, embedded systems, VLSI, and semiconductor technologies along with modern AI-oriented courses such as Machine Learning, Deep Learning, Embedded AI, Edge Computing, Intelligent Communication Systems, and AI-assisted VLSI Design. 

The programme emphasizes hands-on laboratory exposure, project-based learning, internships, innovation, and research to prepare students for careers in semiconductor industries, intelligent communication systems, AI-enabled embedded technologies, and next-generation electronic systems. The revised curriculum is placed before the Senate for necessary consideration and approval.

SEMESTER - I

Semester Course Code Course Name L T P C
I MA101 Engineering Mathematics  3 1 0 8
I CS101 Computer Programming 3 0 0 6
I CS110 Computer Programming Lab 0 0 3 3
I EC101 Digital Design 3 1 0 8
I EC110 Digital Design Lab 0 0 3 3
I EC102 Electrical Circuit Analysis 3 1 0 8
I HS101 English for Communication 2 1 0 6
I GE101* Induction Program 0 0 0 0
Total 14 4 6 42

   *Non Credit Mandatory Course


SEMESTER - II

Semester Course Code Course Name L T P C
II MAXXX Engineering Mathematics II 3 1 0 8
II CS103 Data Structures 3 1 0 8
II CS111 Data Structures Lab 0 0 3 3
II CS104 Computer Organization and Architecture 3 1 0 8
II EC103 Basic Electronic Circuits 3 1 0 8
II EC111 Basic Electronics Lab 0 0 3 3
II HSXXX HSS Course/Elective 2/3 1/0 0 6
Total 15 4 6 44

SEMESTER - III

Semester Course Code Course Name L T P C
III MA2XX Engineering Mathematics III 3 0 0 6
III EAXXX CMOS Integrated Circuit Design 3 0 0 6
III CS201 Algorithms 3 0 0 6
III CS210 Algorithms Lab 0 0 3 3
III EC241 Signals and Systems 3 0 0 6
III EAXXX Hardware Programming Workshop 1 0 2 4
III EAXXX AI Workshop I 1 0 2 4
IIIHSXXXHSS Elective3006
Total 17 0 7 41

SEMESTER - IV

Semester Course Code Course Name L T P C
IV EC243 Digital Signal Processing 3 0 0 6
IV EC244 Digital Signal Processing Lab 003 3
IV EAXXX Communications Systems 3 0 0 6
IV EAXXX Communications Systems Lab 0 0 3 3
IV EAXXX AI Workshop II 1 0 2 4
IV CS240 Database Management Systems 3 0 0 6
IV SC241 DBMS Lab 0 0 3 3
IV SCXXX Engineering Physics 3 0 0 6
IVHSXXXHSS Elective3006
Total 16 0 11 43

SEMESTER - V

Semester Course Code Course Name L T P C
V EC353 Information Theory and coding 3 0 0 6
V EA3XX VLSI architecture for AI 3 0 0 6
V EA3XX VLSI architecture for AI- Lab 0 0 3 3
V EA3XX Statistical Signal Processing 3 0 0 6
V EA3XX Control and Robotics 3 0 0 6
V EA3XX Control and Robotics  Lab 0 0 3 3
V EA3XX Machine Learning 3 0 0 6
V EA3XX Machine Learning Lab 0 0 3 3
VEA3XXProject (optional)0066
Total (With optional project) 12 0 15 45
Total (Without optional project) 120939

SEMESTER - VI

Semester Course Code Course Name L T P C
VI EA3XX Applied Electromagnetics 3 0 0 6
VI EA3XX Applied Electromagnetics Lab 0 0 2 2
VI EA3XXWireless Communication and Networks 3 0 0 6
VI XXX Open Elective 3 0 0 6
VI EA3XX Embeded AI Systems 3 0 0 6
VI EA3XX Embeded AI Systems Lab 0 0 3 3
VI EA3XX Deep Learning 3 0 0 6
VI SC3XX Bioinformatics 3 0 0 6
VI EA3XX Project 1 0 0 6 6
Total 18 0 11 47

SEMESTER - VII

Semester Course Code Course Name L T P C
VII EC456 Communication Network 3 0 0 6
VII ECXXX Elective I 3 0 0 6
VII EC400 Project I 0 0 20 20
VII XXXXX Open Elective 3 0 0 6
VII HSXXX HSS Elective 3 0 0 6
Total 12 0 20 44

SEMESTER - VIII

Semester Course Code Course Name L T P C
VIII EA4XX/EA4XX Project III/Internship 0 0 30 30
VIII EAXXX Elective II 3 0 0 6
Total
3 0 30 36
     Total Credit without optional project = 336
     Total Credit with optional project = 342