Course Structure

Semester-1

Course Category

Sr No

Course Name

L

T

P

C

CH

1

Engineering Mathematics-I

3

1

0

4

4

MD

2

Programming for Problem Solving

2

0

2

4

6

PC

3

Engineering Physics

3

0

1

4

5

PC

4

Basic Electrical and Electronics Engineering

3

0

 1

4

5

PC

5

Foundation and Application of AI

2

0

0

2

2

MD

6

Professional Communication

2

0

1

3

4

SE

7

Universal Human Values

2

0

0

2

2

VAC

8

Engg. Graphics & Design using CAD

0

0

2

2

4

PC

Total

17

1

7

25

32

 

Cumulative Credits

25

 


Semester-2

Course Category

Sr No

Course Name

L

T

P

C

CH

1

Engineering Mathematics-II

3

1

0

4

4

MD

2

Object Oriented Programming using Java

3

0

1

4

5

PC

3

Digital Electronics

3

0

1

4

5

PC

4

Biology for Engineers

3

0

0

3

3

PC

5

Design Thinking and Creativity for Innovation

2

0

0

2

2

AE

6

Workshop Technology

0

0

2

2

4

SE

7

Academic Writing Skills and IPR

2

0

0

2

2

SE

8

IOT Lab

0

0

1

1

2

PC

9

Project Based Learning

0

0

1

1

2

PR

10

16

1

6

23

29

 

Cumulative Credits

48

 


Semester-3

Course Category

Sr No

Course Name

L

T

P

C

CH

1

Data Structures

3

0

1

4

5

PC

2

Discrete Mathematics

3

1

0

4

4

PC

3

Computer Organization & Architecture

3

0

0

3

3

PC

4

Database Management System

3

0

1

4

5

PC

5

Environment Science, Waste and Disaster Management

2

0

0

2

2

VAC

6

Python Programming

1

0

2

3

5

PE

7

Soft Skills-I

0

0

1

1

2

SE

8

Social Internship

0

0

0

1

2

SI

Total

15

1

5

22

28

 

Cumulative Credits

70

 


1

 

Employability Enhancement Courses - MNG

1

0

0

1

1

VAC

50

50

-

-

-

-

100


Semester-4

Course Category

Sr No

Course Name

L

T

P

C

CH

1

Soft Skills II

2

0

0

2

2

SE

2

Aptitude I

2

0

0

2

2

AE

3

Principles of AI

3

0

0

3

3

PC

4

Operating System

3

0

1

4

5

PC

5

Data Analytics

3

0

1

4

5

PC

6

Professional Elective-I

3

0

0

3

3

PE

7

Probability and Statistics

3

0

0

3

3

PC

8

Mini Project-I

0

0

1

1

2

PR

Total

19

0

3

22

25

 

Cumulative Credits

93

 

Mandatory Non Graded (MNG) Course(s)

1

Ethics and Gender Equality

1

0

0

1

1

VAC


Semester-5

Course Category

Sr No

Course Name

L

T

P

C

CH

1

Design and Analysis of Algorithms

3

0

1

4

5

PC

2

Computer Networks

3

0

0

4

5

PC

3

Machine Learning

3

0

1

3

3

PC

4

Professional Elective-II

3

0

0

3

3

PE

5

Professional Elective-III

3

0

0

3

4

PE

6

Soft Skills III

1

0

0

1

1

SE

7

Aptitude II

1

0

0

1

1

AE

8

Mini Project-II

0

0

1

1

2

PR

9

Industrial Summer Training/Internship

0

0

0

1

2

SI

Total

17

0

3

21

27

 

Cumulative Credits

115

 

Mandatory Non Graded (MNG) Course(s)

1

Entrepreneurship

1

0

0

1

1

VAC

2

Constitution of India, Law and Engineering

0

0

0

1

MOOC

VAC


Semester-6

Course Category

Sr No

Course Name

L

T

P

C

CH

1

Deep Learning

3

0

1

4

5

PC

2

Digital Image Processing

3

0

1

4

5

PC

3

Software Engineering

3

0

0

3

3

PC

4

Professional Elective-IV

3

0

0

3

3

PE

5

Professional Elective-V

3

0

0

3

3

PE

6

Soft Skills IV

1

0

0

1

1

SE

7

Aptitude III

1

0

0

1

1

AE

9

Mini Project III

0

0

1

1

2

PR

Total

17

0

3

20

24

 

Cumulative Credits

137

 

 


1

 

Advanced Programming Lab – 1

0

0

1

1

2

AE-MNG

0

0

0

50

50

--

100

2

 

Indian Tradition and Society

0

0

0

1

MOOC

VAC

-

-

-

-

-

-

100


Semester-7

Course Category

Sr No

Course Name

L

T

P

C

CH

1

Professional Elective-VI

3

0

0

3

3

PE

2

Data Mining and Warehousing

3

0

1

4

5

PC

3

Research Methodology

3

0

0

3

3

PR

4

Industrial Internship

0

0

0

1

2

SI

5

Advance Programming Lab II

0

0

1

1

2

PC

6

Capstone Project-I

0

0

4

4

8

PR

Total

9

0

6

16

23

 

Cumulative Credits

155

 


Semester-8

Course Category

Sr No

Course Name

L

T

P

C

CH

1

Open Elective

3

0

0

3

3

MD

2

Professional Elective-VII

3

0

3

3

3

PE

3

Capstone Project-II

0

0

4

4

8

PR

Total

7

0

7

10

14

 

Cumulative Credits

165

 

Professional Elective: Data Science and Analytics
  1. Cloud Computing
  2. Soft Computing
  3. Internet of Things (IOT)
  4. Data Visualization
  5. Predictive Analytics
  6. Business Intelligence and Analytics
  7. Generative AI

Credit Distribution as per NEP 2020

Course Category

Required Credit

Actual Credit

Program Core (PC)

80

86

Professional Elective (PE)

32

21

Multidisciplinary (MD)

9

13

Ability Enhancement (AE)

8

7

Skill Enhancement (SE)

9

11

Value Added Course (VAC)

6-8

4

Summer Internship (SI)

2-4

3

Project/Dissertation (PR)

12

15

MNG

-

5

Total

160

165

How to Apply?

Step 1

Sign Up

Sign up or Register for CUCET by providing basic details (Name, Email ID, Mobile No., State, Gender, and Password). Your Email ID will serve as your Username for the portal, while you will set your password upon registration.

After successful registration, you will receive a confirmation message on your registered contact number and email. Use the username and password to log in to your CUCET account.

Step 2

Apply for CUCET (Eligibility and Scholarship Test)

After successful registration, you will receive a confirmation message on your registered contact number and email. Use the username and password to log in to your CUCET account.

Step 3

Admission

You become eligible for admission into Chandigarh University after clearing the CUCET examination. Following your attempt at CUCET, the result will shortly be intimated, based on which you can submit your application for admission and avail merit-based scholarship.

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