|
S. No. |
Course Code |
Course Name |
L |
T |
P |
C |
CH |
|---|---|---|---|---|---|---|---|
|
1 |
Programming for Problem Solving |
3 |
0 |
1 |
4 |
5 |
|
|
2 |
Computer Ecosystem |
2 |
0 |
1 |
3 |
4 |
|
|
3 |
Mathematics-1 |
3 |
1 |
0 |
4 |
4 |
|
|
4 |
Foundations and Applications of Artificial Intelligence |
3 |
0 |
0 |
3 |
3 |
|
|
5 |
Professional Communication and Storytelling |
2 |
0 |
1 |
3 |
4 |
|
|
6 |
Understanding Society through Sociological Lens |
4 |
0 |
0 |
4 |
4 |
|
|
Total Credits & CH |
21 |
24 |
|||||
|
Cumulative Credits |
21 |
||||||
|
S. No. |
Course Code |
Course Name |
L |
T |
P |
C |
CH |
|---|---|---|---|---|---|---|---|
|
1 |
Data Structures and Algorithms using C |
3 |
0 |
1 |
4 |
5 |
|
|
2 |
Python Programming |
3 |
0 |
1 |
4 |
5 |
|
|
3 |
Fundamentals of Cloud Computing |
3 |
0 |
0 |
3 |
3 |
|
|
4 |
Mathematics-2 |
4 |
0 |
0 |
4 |
4 |
|
|
5 |
Open Elective-I |
3 |
0 |
0 |
3 |
3 |
|
|
6 |
Universal Human Values and Professional Ethics |
3 |
0 |
0 |
3 |
3 |
|
|
7 |
Fundamentals of Data Engineering |
2 |
0 |
0 |
2 |
2 |
|
|
Total Credits & CH |
23 |
25 |
|||||
|
Cumulative Credits |
44 |
||||||
|
S. No. |
Course Code |
Course Name |
L |
T |
P |
C |
CH |
|---|---|---|---|---|---|---|---|
|
1 |
Object Oriented Programming using JAVA |
3 |
0 |
1 |
4 |
5 |
|
|
2 |
Data Warehousing and Data Mining |
3 |
0 |
1 |
4 |
5 |
|
|
3 |
Database Management Systems with SQL |
3 |
0 |
1 |
4 |
5 |
|
|
4 |
Probability & Statistics |
3 |
1 |
0 |
4 |
4 |
|
|
5 |
Open Elective-II |
3 |
0 |
0 |
3 |
3 |
|
|
6 |
Introduction to Devops |
1 |
0 |
2 |
3 |
5 |
|
|
Total Credits & CH |
22 |
27 |
|||||
|
Cumulative Credits |
66 |
||||||
|
S. No. |
Course Code |
Course Name |
L |
T |
P |
C |
CH |
|---|---|---|---|---|---|---|---|
|
1 |
Basics of Machine learning |
3 |
0 |
1 |
4 |
5 |
|
|
2 |
Exploratory Data Analysis (EDA) with Python |
2 |
0 |
1 |
4 |
4 |
|
|
3 |
Internet of Things |
2 |
0 |
1 |
3 |
4 |
|
|
4 |
Optimization for Data Science |
3 |
1 |
0 |
4 |
4 |
|
|
5 |
Soft Skills |
0 |
0 |
2 |
2 |
4 |
|
|
6 |
Aptitude-1 |
4 |
0 |
0 |
4 |
4 |
|
|
Total Credits & CH |
21 |
25 |
|||||
|
Cumulative Credits |
87 |
||||||
|
S. no. |
Course Code |
Course Name |
L |
T |
P |
C |
CH |
|---|---|---|---|---|---|---|---|
|
1 |
Fundamentals of Deep learnings |
2 |
0 |
1 |
3 |
4 |
|
|
2 |
Computer Organization and Architecture |
4 |
0 |
0 |
4 |
4 |
|
|
3 |
Natural Language Processing (NLPs) |
3 |
0 |
0 |
3 |
3 |
|
|
4 |
Time Series Analysis |
3 |
0 |
1 |
4 |
5 |
|
|
5 |
R Programming for Data Science |
3 |
0 |
1 |
4 |
5 |
|
|
6 |
Soft Skills-2 |
0 |
0 |
2 |
2 |
4 |
|
|
7 |
Aptitude-2 |
4 |
0 |
0 |
4 |
4 |
|
|
8 |
Internship -1 |
0 |
0 |
2 |
2 |
- |
|
|
Total Credits & CH |
26 |
||||||
|
Cumulative Credits |
113 |
||||||
*Students would be completing their internship (full term- 15 hrs./week for 2 weeks) after the 4th semester during their vacation period, but the assessment will be done during 5th semester of study.
|
S. No. |
Course Code |
Course Name |
L |
T |
P |
C |
CH |
|---|---|---|---|---|---|---|---|
|
1 |
Network Science |
3 |
0 |
1 |
4 |
4 |
|
|
2 |
Geometry and Data Analysis |
3 |
1 |
0 |
4 |
4 |
|
|
3 |
Research Methodology |
4 |
0 |
0 |
4 |
4 |
|
|
4 |
Statistical Modeling |
3 |
0 |
1 |
4 |
5 |
|
|
5 |
Open Elective III |
3 |
0 |
0 |
3 |
3 |
|
|
Total Credits & CH |
19 |
20 |
|||||
|
Cumulative Credits |
132 |
||||||
|
S. No. |
Course Code |
Course Name |
L |
T |
P |
C |
CH |
|---|---|---|---|---|---|---|---|
|
1 |
Big data Analytics (Hadoop) |
4 |
0 |
0 |
4 |
4 |
|
|
2 |
Data visualization with Tableau and Power BI |
3 |
0 |
1 |
4 |
5 |
|
|
3 |
**Major (Elective)-1 |
3 |
1 |
0 |
4 |
4 |
|
|
4 |
**Major (Elective)-3 |
3 |
0 |
1 |
4 |
5 |
|
|
5 |
Multi Variate Data Analysis |
3 |
1 |
0 |
4 |
4 |
|
|
6 |
Internship-2 |
0 |
0 |
2 |
2 |
- |
|
|
Total Credits & CH |
22 |
22 |
|||||
|
Cumulative Credits |
154 |
||||||
**The major core electives consist of two baskets, one is theory and other is practical.
**Electives 1,2 are theory. Electives 3,4 & 5 are practical’s.
** The students are require to chose the option either from any basket depends on the type of electives.
*Students would be completing their internship (full term- 15 hrs./week for 2 weeks) after the 4th semester during their vacation period, but the assessment will be done during 5th semester of study.
|
S. No. |
Course Code |
Course Name |
L |
T |
P |
C |
CH |
|
|---|---|---|---|---|---|---|---|---|
|
1 |
Probabilistic Machine learning |
3 |
0 |
1 |
4 |
5 |
||
|
2 |
Research Project# |
Major (Elective)-2** |
3 |
1 |
0 |
4 |
4 |
|
|
Major (Elective)-4** |
3 |
0 |
1 |
4 |
5 |
|||
|
Major (Elective)-5** |
3 |
1 |
0 |
4 |
4 |
|||
|
Total Credits & CH |
16 |
18 |
||||||
|
Cumulative Credits |
170 |
|||||||
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