Eligibility Conditions (Graduates from recognized University)
Duration: 2 Years
Scheme: Semester ( CBCS)
Credits: 81
Course Matrix
|
Sem |
Course Code |
Course Title |
Credits |
Counseling/PCP Hours |
Max. Marks |
Min. Passing Marks |
Duration of Exam |
|||
|
Internal Assessment |
Term end exam |
Total Marks |
Internal Assessment |
Term end exam |
||||||
|
I |
MCSDSC-1.1 |
Advanced Data Structures with Algorithms |
4 |
12 |
20 |
80 |
100 |
08 |
32 |
3 |
|
MCSDSC-1.2 |
OOPs with Java |
4 |
12 |
20 |
80 |
100 |
08 |
32 |
3 |
|
|
MCSDSC-1.3 |
Data Structure & Algorithms Lab |
2 |
60 |
10 |
40 |
50 |
04 |
16 |
3 |
|
|
MCSDSC-1.4 |
OOPs with Java Lab |
2 |
60 |
10 |
40 |
50 |
04 |
16 |
3 |
|
|
MCSDSE-1.5 |
Computer Architecture |
3 |
09 |
20 |
80 |
100 |
08 |
32 |
3 |
|
|
MCSDSE-1.6 |
Advanced C programming |
|||||||||
|
MCSDSE-1.7 |
Computer Graphics |
3 |
09 |
20 |
80 |
100 |
08 |
32 |
3 |
|
|
MCSDSE-1.8 |
Operating System |
|||||||||
|
ELMCS-01 |
Interdisciplinary Elective -1 |
2 |
06 |
10 |
40 |
50 |
04 |
16 |
11/2 |
|
|
Total |
20 |
168 |
110 |
440 |
550 |
44 |
176 |
- |
||
|
Sem |
Course Code |
Course Title |
Credits |
Counseling/PCP Hours |
Max. Marks |
Min. Passing Marks |
Duration of Exam |
|||
|
Internal Assessment |
Term end exam |
Total Marks |
Internal Assessment |
Term end exam |
||||||
|
II |
MCSDSC-2.1 |
Linear Algebra & Statistics |
4 |
12 |
20 |
80 |
100 |
08 |
32 |
3 |
|
MCSDSC-2.2 |
Relational Database Management System |
4 |
12 |
20 |
80 |
100 |
08 |
32 |
3 |
|
|
MCSDSC-2.3 |
Statistics Lab |
2 |
60 |
10 |
40 |
50 |
04 |
16 |
3 |
|
|
MCSDSC-2.4 |
RDBMS Lab |
2 |
60 |
10 |
40 |
50 |
04 |
16 |
3 |
|
|
MCSDSE-2.5 |
Web Programming |
3 |
09 |
20 |
80 |
100 |
08 |
32 |
3 |
|
|
MCSDSE-2.6 |
Object Oriented Analysis and Design Using UML |
|||||||||
|
MCSDSE-2.7 |
Computer Networks |
3 |
09 |
20 |
80 |
100 |
08 |
32 |
3 |
|
|
MCSDSE-2.8 |
Ad hoc Networks |
|||||||||
|
ELMCS-02 |
Interdisciplinary Elective -2 |
2 |
06 |
10 |
40 |
50 |
04 |
16 |
11/2 |
|
|
Total |
20 |
168 |
110 |
440 |
550 |
44 |
176 |
- |
||
|
Sem |
Course Code |
Course Title |
Credits |
Counseling/PCP Hours |
Max. Marks |
Min. Passing Marks |
Duration of Exam |
|||
|
Internal Assessment |
Term end exam |
Total Marks |
Internal Assessment |
Term end exam |
||||||
|
III |
MCSDSC-3.1 |
Data Science with Python |
4 |
12 |
20 |
80 |
100 |
08 |
32 |
3 |
|
MCSDSC-3.2 |
Machine Learning |
4 |
12 |
20 |
80 |
100 |
08 |
32 |
3 |
|
|
MCSDSC-3.3 |
Python Programming Lab |
2 |
60 |
10 |
40 |
50 |
04 |
16 |
3 |
|
|
MCSDSC-3.4 |
Machine Learning Lab |
2 |
60 |
10 |
40 |
50 |
04 |
16 |
3 |
|
|
MCSDSE-3.5 |
Business Analytics |
3 |
09 |
20 |
80 |
100 |
08 |
32 |
3 |
|
|
MCSDSE-3.6 |
Software Engineering |
|||||||||
|
MCSDSE-3.7 |
Cryptography & Network Security |
3 |
09 |
20 |
80 |
100 |
08 |
32 |
3 |
|
|
MCSDSE-3.8 |
Cloud Computing |
|||||||||
|
MCSSEC-1 |
Big-Data Analytics-1 |
2 |
06 |
10 |
40 |
50 |
04 |
16 |
11/2 |
|
|
Total |
20 |
168 |
110 |
440 |
550 |
44 |
176 |
- |
||
|
Sem |
Course Code |
Course Title |
Credits |
Counseling/PCP Hours |
Max. Marks |
Min. Passing Marks |
Duration of Exam |
|||
|
Internal Assessment |
Term end exam |
Total Marks |
Internal Assessment |
Term end exam |
||||||
|
IV |
MCSDSC-4.1 |
Artificial Intelligence |
4 |
12 |
20 |
80 |
100 |
08 |
32 |
3 |
|
MCSDSC-4.2 |
Introduction to IOT |
4 |
12 |
20 |
80 |
100 |
08 |
32 |
3 |
|
|
MCSDSE-4.3 |
Dissertation/Project work |
8 |
240 |
30 |
120 |
150 |
12 |
48 |
3 |
|
|
MCSDSE-4.4 |
Introduction to Block Chain |
3 |
09 |
20 |
80 |
100 |
08 |
32 |
3 |
|
|
MCSDSE-4.5 |
Nature Inspired Computing Methods |
|||||||||
|
MCSSEC-2 |
Big-Data Analytics-2 |
2 |
06 |
10 |
40 |
50 |
04 |
16 |
11/2 |
|
|
Total |
21 |
279 |
100 |
400 |
500 |
40 |
160 |
- |
||
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