SOUTH ASIAN UNIVERSITY

A University Established by SAARC Nations

SOUTH ASIAN UNIVERSITY

A University established by SAARC Nations


Course Structure of B.Tech. (Mathematics & Computing)

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

 

Semester 6

Course Code

Course Name

LTP

Credits

Core/Elective

CSE***

Track Elective (TE)-2

3 0 2

4

Elective

MTH-006

Differential Equations

2 0 3

3.5

Core

MTH-007

Mathematical Modelling

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

 

Semester 7

Course Code

Course Name

LTP

Credits

Core/Elective

CSE-4**

TE-3

3 0 2

4

 

CSE-4D*

DE-2

3 0 0

3

 

MTH-008

Optimization Techniques

 

3 0 2

4

 

***-***

Open Elective-2

3 0 0

3

 

CSE-402

Project I

0 0 8

4

Core

 

Internship Evaluation (6-8 week internship/training after 6th sem will be compulsory for every student)

 

2

 

CSE-403

Case Study/ Self Study based report writing

0 0 2

1

Core

 

 

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

Some students may be permitted for a full semester Internship during 8th semester, as per criteria decided by the faculty & SAU.  Students will have to abide by the guidelines and norms decided by the faculty & SAU in this regard.

 

*B* for students not going for Full Semester Internship

 

 

 

Course Code

Course Name

LTP

Credits

Core/Elective

CSE-4D*

DE-3

3 0 2

4

 

CSE-406

Dev Ops and Modern Application Development

1 0 4

3

 

CSE-***

TE-4/OE-3

3 0 0

3

 

CSE-407

Project II

0 0 8

4

 

CSE-408

Professional Competence

 

4

 

 

 Tracks

Scientific Computing

Artificial Intelligence and Machine Learning

Computational Finance

Foundation of Scientific

Computing

Neural Networks and Deep Learning

Fundamentals of Finance

Computational Methods for Differential Equations

 

Computer Vision using AI

Derivatives and Risk Management

 

Numerical Linear Algebra

Natural Language Processing

Econometrics for Finance

(Time Series Analysis)

Stochastic Modelling

 

Generative AI

Actuarial Mathematics

 

Electives

Open Electives

Department Electives

Software Testing and Quality

Quantum Information Theory

 

Functional Analysis

Graph Theory

Multivariable Calculus

Software Project Management

Quantum Cryptography

 

Algebra

Matrix Theory

Mathematical Methods of Physics

Cryptography

Numerical Optimization

Theoretical Foundations of Cryptography

Modelling and Simulation

Numerical Methods for Partial Differential Equations

Computer Graphics

Game Theory

Partial Differential Equations

 

Convex Optimization and Applications

Intro. Dynamical Systems Theory

Stochastic Models and Applications

 

Parallel Programming

Finite Elements: Theory and Algorithms

Measure and Integration

 

Network Security

Modelling and Simulation