Course Structure for BTech Mathematics and Computing program
Sem- I (w.e.f. 2025-26 admitted students)
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
Math-I |
3 1 0 |
4 |
|||
|
Engineering Physics |
3 0 0 |
3 |
3 |
||
|
Communication Skills in English |
2 0 2 |
3 |
|||
|
Fundamentals of Computer Programming |
3 0 3 |
4.5 |
|||
|
Fundamentals of Electrical and Electronics Engineering |
3 0 2 |
4 |
|||
|
Sports/NCC/NSS/Extra-Curricular- I |
0 0 2 |
||||
|
Case Study/ Self Study based report writing |
1 |
||||
|
Total |
19.5 |
||||
Sem- II
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
Math-II (Linear Algebra and Optimization) |
3 1 0 |
4 |
|||
|
Digital Logic Design |
3 0 2 |
4 |
|||
|
Data Structures |
3 0 3 |
4.5 |
|||
|
Python Programming |
2 0 2 |
3 |
|||
|
Physics Lab |
0 0 2 |
1 |
|||
|
Fundamentals of Web Design (exam will be as Practical only) |
1 0 2 |
2 |
|||
|
Soft Skills (conduct to be like a Workshop, preferably) |
1 0 4 |
3 |
|||
|
Case Study/ Self Study based report writing |
1 |
||||
|
Total |
22.5 |
||||
Sem- III
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
Math-III (Probability and Statistics) |
3 1 0 |
4 |
|||
|
Design & Analysis of Algorithms |
3 0 3 |
4.5 |
|||
|
OOP using Java |
3 0 2 |
4 |
|||
|
Computer Organization & Arch |
3 0 0 |
3 |
|||
|
Data Base Systems |
3 0 2 |
4 |
|||
|
Principles of Management (HALF students) |
3 0 0 |
3 |
|||
|
Case Study/ Self Study based report writing |
1 |
||||
|
Total |
23.5 |
||||
Sem- IV
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
Operating Systems |
3 0 2 |
4 |
|||
|
Computer Networks |
3 0 2 |
4 |
|||
|
Machine Learning |
3 0 2 |
4 |
|||
|
Fundamentals of Data Science |
3 0 2 |
4 |
|||
|
Real and Complex Analysis Fundamentals of Cyber Security (CN or FCS, one of these will have lab) |
3 0 2 |
4 |
|||
|
Sports/NCC/NSS/Extra-Curricular -II (HALF stud) |
0 0 2 |
||||
|
Case Study/ Self Study based report writing |
1 |
||||
|
Total |
21 |
||||
Sem- V
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
AI and Soft Computing |
3 0 2 |
4 |
5 |
||
|
Efficient and Competitive Programming |
3 0 3 |
4.5 |
6 |
||
|
Software Engineering |
3 1 0 |
4 |
4 |
||
|
Track Elective (TE)-1 |
3 0 0 |
3 |
3 |
||
|
Numerical Methods/ Full Stack Development (using Web Technologies) |
2 0 3 |
3.5 |
5 |
||
|
Logical Aptitude and Reasoning Skills (for campus interview preparations) |
2 0 0 |
2 |
2 |
||
|
Case Study/ Self Study based report writing |
1 |
||||
|
Total |
22 |
25 |
|||
Sem- VI
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
TE-2 |
3 0 2 |
4 |
5 |
||
|
Differential Equations/ Mobile App Development |
2 0 3 |
3.5 |
5 |
||
|
Mathematical Modelling/ Automata Theory |
3 0 0 |
3 |
3 |
||
|
Dept Elective (DE) -1 |
3 0 2 |
4 |
5 |
||
|
Open Elective (OE) -1 |
3 0 0 |
3 |
3 |
||
|
Presentation, Group Discussions & Interview Skills |
0 0 3 |
1.5 |
3 |
||
|
Intro to South Asia** (attendance/passing compulsory) |
2 0 0 |
2** |
2 |
||
|
Case Study/ Self Study based report writing |
1 |
||||
|
Total |
22 |
26 |
|||
Sem- VII
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
TE-3 |
3 0 2 |
4 |
5 |
||
|
DE-2 |
3 0 0 |
3 |
3 |
||
|
Discrete Mathematics/ Distributed Computing |
3 0 2 |
4 |
5 |
||
|
Open Elective-2 |
3 0 0 |
3 |
3 |
||
|
Project I |
0 0 8 |
4 |
8 |
||
|
Internship Evaluation (6-8 week internship/training after 6th sem will be compulsory for every student) |
2 |
||||
|
Case Study/ Self Study based report writing |
1 |
||||
|
Total |
21 |
24 |
|||
Sem- VIII
Scheme VIII A for students going for Full Semester Internship
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
MOOC Paper I |
3 |
||||
|
MOOC Paper II |
3 |
||||
|
Internship |
8 |
||||
|
Professional Competence |
4 |
||||
|
Some students may be permitted for a full semester Internship during 8th Sem, as per criteria decided by the dept & SAU. Students will have to abide by the guidelines and norms decided by the Dept & SAU in this regard. |
|||||
|
Total |
18 |
||||
Scheme VIII B for students Not going for Full Semester Internship
|
Sr. No. |
Course Code |
Subject/scope (Title (tentative)) |
L_T_P |
Credits |
Contact Hrs |
|
DE-3 |
3 0 2 |
4 |
5 |
||
|
Dev Ops and Modern Application Development |
1 0 4 |
3 |
5 |
||
|
TE-4/OE-3 |
3 0 0 |
3 |
3 |
||
|
Project II |
0 0 8 |
4 |
|||
|
Professional Competence |
4 |
||||
|
Total |
18 |
||||
Tracks
|
Scientific Computing Or Computational Sciences |
Artificial Intelligence and Machine Learning |
Mathematical Finance |
Actuarial Science |
Quantum Computing |
|
Foundation of Scientific Computing |
Neural Networks and Deep Learning |
Fundamentals of Finance |
Actuarial Mathematics |
Foundation of Quantum Computation |
|
Computational Methods for Differential Equations |
Computer Vision using AI |
Derivatives and Risk Management |
Actuarial Statistics |
Machine Learning with Quantum Computing |
|
Numerical Linear Algebra |
Natural Language Processing |
Econometrics for Finance (Time Series Analysis) |
Risk Modelling and Survival Analysis |
Quantum Computing Architecture |
|
Deterministic and Stochastic Modelling |
Generative AI |
Computational Methods in Financial Mathematics |
Financial Engineering and Loss Reserving |
Quantum Statistical Data Analysis |
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 |
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