Course Structure

COURSE STRUCTURE* FOR 5-YEAR B.TECH – M.TECH (CSE) DEGREE

(*Subject to further re-organization/updation/revision based on experts’ feedback)

PREAMBLE

With an objective to prepare learned and skilled professionals for SAARC countries having strong conceptual and practical background, a dual degree B.Tech – M.Tech (Computer Science and Engineering) programme of five years duration is offered. The salient features of the programme are:

The programme is unique in SAARC countries except India. It saves one year of student is obtaining M.Tech degree.
The programme provides an exit option to students with B.Tech (Computer Science and Engineering) degree after successful completion of 4th year. The students has to submit the choice to exit the programme at the end of sixth semester.
The total number of seats in the programme is 30.
The grade requirement for promotion to next semester as well as for the award of the degree, repetition of a course, extra semester to clear backlog etc. are as per university regulations/byelaws.

The University follows a unique up-to-date curriculum with the aim of equipping students with strong analytical and technical skills as well as thorough knowledge of and expertise in the latest state-of-the art techniques in Computer Science as well as in the interdisciplinary disciplines so that they can work competently in diverse areas including industry, teaching and research and development. Besides having a good mix of theoretical and lab-oriented computer science courses together with a reasonable amount of training/learning in the interdisciplinary domains, the Dual Degree B.Tech.-M.Tech (Computer Science and Engineering) programme has a project component which also provides an opportunity to students to work on research problems under the close supervision of faculty members so that they are equipped to work in leading industries, international R&D institutions or pursue a career in top-ranking academia towards higher education and research.

MINIMUM ELIGIBILITY CRITERIA

A student must have passed the Class 12 or Higher Secondary or any equivalent qualifying examination in Science stream (having Mathematics and Physics/Chemistry as mandatory subjects) with a minimum of 65% marks in aggregate based on education board recognized by any of the SAARC nations.

SELECTION PROCESS

The following admission process is adopted:

Route 1: Merit list based on JEE Main (conducted by IITs) scores.
Route 2: Merit list based on entrance examination conducted by SAU.

Semester-I
S.No.	Code	CourseTitle	Contact Periods per Week				Credit
			L	T	P	Total
1	CSE 101	Computational Thinking	3	0	4	7	5
2	MTH 101	Advanced Calculus	3	1	0	4	4
3	PHY 101	Engineering Physics	3	0	4	7	5
4	ENG 101	English-I	3	1	0	3	4
5	HSS 101	Introduction to South Asia	2	0	0	2	2
Total			14	2	8	23	20
Semester-II
S.No.	Code	CourseTitle	Contact Periods per Week				Credit
			L	T	P	Total
1	CSE 102	Data Structures	3	0	4	7	5
2	CSE 103	Digital Logic Design	3	0	4	7	5
3	MTH 102	Linear Algebra and Optimization	3	1	0	4	4
4	ENG 102	English-II (Language Lab)	2	0	0	2	2
5	HSS 102	HSS-I	3	1	0	4	4
Total			14	2	8	24	20
Semester-III
S.No.	Code	Course Title	Contact Periods per Week				Credit
			L	T	P	Total
1	CSE 201	Object Oriented Programming	3	0	4	7	5
2	CSE 202	Computer Architecture	3	0	4	7	5
3	MTH 201	Introduction to Probability Theory	3	1	0	4	4
4	MTH 202	Discrete Mathematics	3	1	0	4	4
5	HSS 201	HSS-II	3	1	0	4	4
Total			15	3	8	26	22
Semester-IV
S.No.	Code	CourseTitle	Contact Periods per Week				Credit
			L	T	P	Total
1	CSE 203	Operating Systems	3	0	4	7	5
2	CSE 204	Design and Analysis of Algorithms	3	1	2	6	5
3	CSE 205	Introduction to Artificial Intelligence	3	0	2	5	4
4	MTH 203	Fundamentals of Data Science and Statistics	3	1	0	4	4
5	HSS 202	HSS-III	3	1	0	4	4
Total			15	3	8	26	22
Semester-V
S.No.	Code	CourseTitle	Contact Periods per Week				Credit
			L	T	P	Total
1	CSE 301	Computer Networks	3	0	4	7	5
2	CSE 302	Machine Learning	3	1	2	6	5
3	CSE 303	Database Management Systems	3	0	4	7	5
4	CSE 304	Software Engineering	3	1	0	4	4
5	HSS 301	HSS-IV	3	1	0	4	4
Total			15	3	10	28	23
Semester-VI
S.No.	Code	CourseTitle	Contact Periods per Week				Credit
			L	T	P	Total
1	CSE 305	Distributed Systems	3	1	2	6	5
2	CSE 306	Project (Application Development)	1	0	6	7	4
3	CSE XXXX	Departmental Elective I	3	1/0	0/2	4/5	4
4	CSE XXXX	Departmental Elective II	3	1/0	0/2	4/5	4
5	OE XXXX	Open Elective I	3	1/0	0/2	4/5	4
Total			13	4/1	8/14	25/28	21
Semester-VII
S.No.	Code	CourseTitle	Contact Periods per Week				Credit
			L	T	P	Total
1	CSE 401	Advanced Algorithm	3	1	2	6	5
2	CSE 402	Advanced Computer Networks	3	0	4	7	5
3	CSE XXXX	Departmental Elective III	3	1/0	0/2	4/5	4
4	CSE XXXX	Departmental Elective IV	3	1/0	0/2	4/5	4
5	OE XXXX	Mini Project	3	1/0	0/2	4/5	4
Total			15	4/1	6/12	25/28	22
Semester-VIII
S.No.	Code	CourseTitle	Contact Periods per Week				Credit
			L	T	P	Total
1	CSE 403	Theory of Computation	3	1	0	4	4
2	CSE XXXX	Departmental Elective V	3	1/0	0/2	4/5	4
3	CSE XXXX	Departmental Elective VI	3	1/0	0/2	4/5	4
4	OE XXXX	Open Elective III	3	1/0	0/2	4/5	4
5	CSE 422	M.Tech Thesis	3	1/0	0/2	4/5	4
Total							20
Semester-IX
S.No.	Code	CourseTitle	Contact Periods per Week				Credit
			L	T	P	Total
1	CSE XXXX	Departmental Elective VII	3	1/0	0/2	4/5	4
2	CSE 521	M.Tech Thesis					16
Total							20
Semester-X
S.No.	Code	CourseTitle	Contact Periods per Week				Credit
			L	T	P	Total
1	CSE 522	M.Tech Thesis					20
Total							20

SEMESETER-WISE CREDITS

Semester	Credits
Semester I	20
Semester II	20
Semester III	22
Semester IV	22
Semester V	23
Semester VI	21
Semester VII	22
Semester VIII	20
Semester IX	20
Semester X	20
	210

LIST OF DEPARTMENTAL ELECTIVES

S.No.	Code	Course Title	Contact Periods per Week				Credit
			L	T	P	Total
Level I
1	CSE L101	Theory of Computation	3	1	0	4	4
2	CSE L102	Compiler Design	3	1	0	4	4
3	CSE L103	Data Mining	3		2	5	4
4	CSE L104	Computer Graphics	3	0	2	5	4
5	CSE L105	Pattern Recognition	3	0	2	5	4
6	CSE L106	Natural Language Processing	3	0	2	5	4
7	CSE L107	Information Retrieval	3	0	2	5	4
8	CSE L108	Big Data Analytics	3	0	2	5	4
9	CSE L109	Social Media Analytics	3	0	2	5	4
10	CSE L110	Network Science	3	0	2	5	4
11	CSE L111	Internet of Things and Embedded Systems	3	0	2	5	4
12	CSE L112	Cloud Computing	3	0	2	5	4
13	CSE L113	Software Defined Networking	3	0	2	5	4
14	CSE L114	Blockchain Technology	3	0	2	5	4
15	CSE L115	Real-Time Systems	3	0	2	5	4
16	CSE L116	Mobile Computing	3	0	2	5	4
17	CSE L117	Soft Computing	3	0	2	5	4
18	CSE L118	Computational Intelligence	3	0	2	5	4
19	CSE L119	Cryptography and Network Security	3	0	2	5	4
20	CSE L120	Graph Algoriths	3	1	0	4	4
21	CSE L121	Wireless Networks	3	0	2	5	4
Level II
22	CSE L201	Advanced Computer Architecture	3	0	2	5	4
23	CSE L202	Advanced Algorithms	3	1	0	4	4
24	CSE L203	Evolutionary Algorithms	3	0	2	5	4
25	CSE L204	AI and ML Techniques for Cyber Security	3	0	2	5	4
26	CSE L205	Fuzzy Modelling	3	0	2	5	4
27	CSE L206	Deep Learning	3	0	2	5	4
28	CSE L207	Advanced Machine Learning	3	0	2	5	4
29	CSE L208	Reinforcement Learning	3	0	2	5	4
30	CSE L209	Advanced Computer Networks	3	0	2	5	4
31	CSE L210	Performance Modeling of Computer Systems	3	1	0	4	4
32	CSE L211	Advanced Optimization Techniques	3	1	0	4	4

Notations

HSS: Humanities and Social Sciences.

Open electives (OE): These are the elective courses which a student can opt from other departments/faculties of the university (excluding the courses offered in HSS bucket), which will broaden the knowledge of the students beyond the discipline of Computer Science

Departmental elective (DE): These are elective courses offered by the department.

L: Lecture | T: Tutorial | P: Practical