Course Structure of Integrated M.Tech. (CSE)

Year	Semester	Course Type	Course Title	Code	L-T-P	Credits
First	1^st	Core	Computer Organization and Design	CSE 401	3-0-2	4
		Core	Database Systems	CSE 402	3-0-2	4
		Core	Mathematical Foundations of Computer Science	CSE 403	3-0-2	4
		Core	Operating Systems Design	CSE 404	3-1-0	4
		Core	Programming and Data Structures	CSE 405	3-0-2	4
		Core	Seminar		–	1
	2^nd	Core	Computer Networks	CSE 406	3-1-0	4
		Core	Design and Analysis of Algorithms	CSE 407	3-0-2	4
		Core	Introduction to South Asia	HSS-0**	2-0-0	2
		GE	General Elective 1	CSE ***	–	4
		GE	General Elective 2	CSE ***	–	4
		OE	Open Elective 1		2-0-0	2
		Core	Term Paper	CSE 408	–	1
Second	3^rd	Core	Data Mining	CS 501	3-0-2	4
		Core	Fundamentals of Artificial Intelligence	CS 502	3-1-0	4
		Core	Fundamentals of Machine Learning	CS 503	3-0-2	4
		Core	Optimization Techniques	CS 504	3-1-0	4
		Core	Advanced Data Structure and Algorithms	CS 505	3-0-2	4
		Core	Seminar
	4^th	OE	Open Elective 2	* *	–	2
		TE*	Track Elective 1	CSE ***	–	4
		TE	Track Elective 2	CSE ***	–	4
		TE	Track Elective 3	CSE ***	–	4
		TE	Track Elective 4	CSE ***	–	4
		Core	Term Paper
Third	5^th	–	Dissertation (Part I)**	CS 601	–	20
Third	6^th	–	Dissertation (Part II)	CS 602	–	20
Total						120
Note: The TE courses are to be chosen from the specialization buckets as shown in Table below. These courses will be floated by the department as per the availability of faculties. *The dissertation has to be in the area of specialization.

TABLE : TE AND GE COURSES

Course Type	Course Title	Course Code	L-T-P	Credits
	Track 1: Artificial Intelligence & Machine Learning
TE	Advanced Machine Learning	CS-E 501	3-1-0	4
TE	AI and ML Techniques for Cyber Security	CS-E 502	3-0-2	4
TE	Big Data Analytics	CS-E 503	3-1-0	4
TE	Computational Intelligence	CS-E 504	3-0-2	4
TE	Deep Learning	CS-E 505	3-0-2	4
TE	Evolutionary Algorithms	CS-E 506	3-1-0	4
TE	Information Retrieval	CS-E 507	3-1-0	4
TE	Natural Language Processing	CS-E 508	3-1-0	4
TE	Network Science	CS-E-509	3-0-2	4
TE	Reinforcement Learning	CS-E-510	3-0-2	4
TE	Social Media Analytics	CS-E 511	3-0-2	4
	Track 2: Advanced Network & Systems
TE	Blockchain Technology	CS-E 521	3-1-0	4
TE	Cloud Computing	CS-E 522	3-1-0	4
TE	Cryptography and Network Security	CS-E 523	3-1-0	4
TE	Distributed Systems	CS-E 524	3-1-0	4
TE	Internet of Things	CS-E 525	3-1-0	4
TE	Linear Programming for Computer Networks	CS-E 526	3-1-0	4
TE	Optical Networks	CS-E 527	3-1-0	4
TE	Performance Modeling of Computer Networks	CS-E-528	3-1-0	4
TE	Software Defined Networking	CS-E-529	3-1-0	4
	General Electives
GE	Distributed Machine Learning	CS-E 541	3-1-0	4
GE	Embedded Systems Design	CS-E 542	3-1-0	4
GE	Fuzzy Modelling	CS-E 543	3-1-0	4
GE	Logic for Computer Science	CS-E 544	3-1-0	4
GE	Mobile Computing	CS-E 545	3-1-0	4
GE	Performance Modeling and Simulation of Computer Systems	CS-E 546	3-1-0	4
GE	Queueing Theory with Applications	CS-E 547	3-0-2	4
GE	Real-Time Systems	CS-E-548	3-1-0	4
GE	Soft Computing	CS-E-549	3-1-0	4
GE	Theory of Computation	CS-E-550	3-1-0	4
Remark: A student opting for general track can take courses from any specialization track. Besides above-listed courses, new TE or GE courses may be offered after approval of the BoS.