SOUTH ASIAN UNIVERSITY

A University Established by SAARC Nations

SOUTH ASIAN UNIVERSITY

A University established by SAARC Nations

DCS
Department of Computer Science and Engineering

Course Structure of BTech (Computer Science & Engineering)

 

Semester 1

Course Code

Course Name

LTP

Credits

Core/Elective

CSE101

Fundamentals of Computer Programming

3 0 3

4.5

Core

CSE102

Case Study I

 

1

Core

EEE101

Fundamentals of Electrical and Electronics Engineering

3 0 2 

4

Core

MTH105

MATH – I

3 1 0

4

Core

CSE106

Fundamentals of Web Design

1 0 2

2

Elective

PHY108

Engineering Physics

3 0 2

4

Elective

ENG104

Communication Skills in English

2 0 2

3

Core

ECA-001

Sports/NCC/NSS/Extra-Curricular- I

0 0 2

1

 

 

Semester 2

Course Code

Course Name

LTP

Credits

Core/Elective

CSE103

Digital Logic Design

3 0 2

4

Core

CSE104

Data Structures

3 0 3

4.5

Core

CSE105

Programming with Python

2 0 2

3

Core

CSE106

Fundamentals of Web Design

1 0 2

2

Core

CSE107

Case Study II

 

1

Core

MTH106

Math-II

3 1 0

4

Core

PHY108

Engineering Physics

3 0 2

4

Elective

ENG105

English Communication: Soft Skills

1 0 4

3

Core

 

Semester 3

Course Code

Course Name

LTP

Credits

Core/Elective

CSE201

Design & Analysis of Algorithms

3 0 3

4.5

Core

CSE202

OOP using Java

3 0 2

4

Core

CSE203

Computer Organization & Architecture

3 0 0

3

Core

CSE204

Data Base Systems

3 0 2

4

Core

CSE205

Case Study III

 

1

Core

MTH206

Math-II

3 1 0

4

Core

MGT108

Principles of Management

3 0 0

3

Core

 

Semester 4

Course Code

Course Name

LTP

Credits

Core/Elective

CSE206

Operating Systems

3 0 2

4

Core

CSE207

Computer Networks

3 0 2

4

Core

CSE208

Machine Learning

3 0 2

4

Core

CSE209

Fundamentals of Data Science

3 0 2

4

Core

CSE210

Fundamentals of Cyber Security

3 0 0

4

Core

CSE211

Case Study IV

 

1

Core

 

Open Elective (OE) 1

0 0 2

2

Elective

 

Semester 5

Course Code

Course Name

LTP

Credits

Core/Elective

CSE301

 AI and Soft Computing

3 0 2

4

Core

CSE302

Efficient and Competitive Programming

3 0 3

4.5

Core

CSE303

Software Engineering

3 1 0

4

Core

CSE***

Track Elective (TE)-1

3 0 0

3

Elective

CSE304

Full Stack Development (using Web Technologies)

2 0 3

3.5

Core

CSE305

Logical Aptitude and Reasoning Skills (for campus interview preparations)

2 0 0

2

Core

CSE306

Case Study V

 

1

Core

 

Tracks Identified:                    

  1. General Track                                 
  2. Data Science and AI
  3. AI and ML                                 
  4. Cyber Security
  5. Business Analytics                 
  6. Cloud Computing 
  7. Quantum Computing (for students admitted in 2026 onwards)

 

 

Semester 6

Course Code

Course Name

LTP

Credits

Core/Elective

CSE***

Track Elective (TE)-2

3 0 2

4

Elective

CSE307

Mobile App Development

2 0 3

3.5

Core

CSE308

Automata Theory

3 0 0

3

Core

CSE***

Dept Elective (DE) -1

3 0 2

4

Elective

CSE309

Case Study VI

 

1

Core

ENG0**

Presentation, Group Discussions & Interview Skills

0 0 3

1.5

Core

HSS0**

Intro to South Asia

2 0 0

2

Elective

 

Open Elective (OE) – 2

3 0 0

3

Elective

 

** This course will not be taught to 2024 admitted students, as they have already done in 1st sem. If SAU permits, let this be non-credit course and these 2 credits can be used elsewhere

For DE1: UML based Object Oriented Analysis and Design using UML & Agile, S/w Verification & Validation, IOT programming, and some more can be planned

Courses of one track can be included as Dept-elective/Open-Elective for other track-students during 6-8 semesters

OE-1: will have courses from all depts., and if cse-dept feels appropriate, few dept-courses can also be included in this list

 

Semester 7

Course Code

Course Name

LTP

Credits

Core/Elective

CSE401

Distributed Computing

3 0 2

4

Core

CSE402

Case Study VII

 

1

Core

CSE403

Internship Evaluation

 

2

 

CSE404

Project I

0 0 8

4

Elective

CSE4**

Track Elective (TE)-3

3 0 2

4

Elective

CSE4D*

Dept Elective (DE) -2

3 0 0

3

Elective

 

Open Elective (OE) – 3

3 0 0

3

Elective

 

 

Semester 8

 

*A* for students going for Full Semester Internship

 

 

 

Course Code

Course Name

LTP

Credits

Core/Elective

CSE405

Professional Competence

 

4

Core

CSE409

Internship

 

8

Core

CSE410

MOOC Paper I

 

3

Core

CSE411

MOOC Paper II

 

3

Core

 

*B* for students not going for Full Semester Internship

 

 

 

Course Code

Course Name

LTP

Credits

Core/Elective

CSE406

Modern Application Development

1 0 4

3

Core

CSE407

Project II

0 0 8

4

Core

CSE408

Professional Competence

 

4

Core

CSE***

TE-4

3 0 0

3

Elective

CSE4D*

DE-3

3 0 2

4

Elective

 

 

Tracks

General

AI and ML

Data Science and AI

Business Systems and Intelligence

Cyber Security

Cloud Computing

Advanced Data Structure and Algorithms

Neural Networks and Deep Learning

Neural Networks and Deep Learning

Digital Media Marketing and Analysis

Cryptography

 

Software Testing and Quality

Computer Vision using AI

Data Visualization

Risk Analysis and Assessment

Privacy and Ethical Hacking

 

Advanced Networks

Natural Language Processing

Social Network Analysis

Financial Business Intelligence/ Financial Modelling and Planning

Digital Forensics and Malware Analysis

 

Emerging Trends in Computer Science

Generative AI

Geo-Spatial Analytics

Business Intelligence Tools

Web and Database Security/ Network Security

 

 

 

Business Analytics and Intelligence/ Business Intelligence Tools

 

 

 

 

 

 

Open Electives

Deptt. Electives

Quantum Computing

Digital Image Processing

Software Project Management

Software Testing and Quality

Parallel Algorithms

Object Oriented Analysis and Design

bedded Systems Design

Robotics

Computer Graphics

Big Data Analytics

 

Semantic Web Technologies

 

IOT

 

 

Human Computer Interface

 

Blockchain Technologies

 

Data Warehousing and Data Mining