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. |
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|
|
*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 |
|
|
|
