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Your Department in a Nutshell

Course Structure

Semester - 1

COURSE MODULE

Teaching Periods

Weightage Evaluation

COURSE

Credit

L

T

P

 

 

CIE

 

 

MTE

 

 

ETE

 

 

Total

Code

Title

Compone nt

 

Engineering Mathematics- I

DC

4

3

1

-

25

25

50

100

 

Programming for Problem Solving

DC

3

3

-

-

25

25

50

100

 

Engineering Physics

DC

3

3

-

-

25

25

50

100

 

Electrical and Electronics

DC

3

3

-

-

25

25

50

100

 

Problem Solving Lab I

DC

2

-

-

4

50

-

50

100

 

Physics Lab

DC

1

-

-

2

50

-

50

100

 

Electrical and Electronics Lab

DC

1

-

-

2

50

-

50

100

 

Professional Communication

AE

2

2

-

-

25

25

50

100

 

Workshop and Manufacturing Practices

SE

2

1

-

2

25

25

50

100

 

Healthy Living & Fitness

VA

1

-

-

2

100

-

-

100

 

General Proficiency-I

/NCC/Yoga/ Sports

/Cultural/MOOC

VA

-

-

-

-

-

-

-

100

 

Total

 

22

15

1

12

400

150

450

1100
Semester - 2

COURSE MODULE

Teaching Periods

Weightage Evaluation

COURSE

Credit

L

T

P

 

 

CIE

 

 

MTE

 

 

ETE

 

 

Total

Code

Title

Componen t

 

Engineering Mathematics II

DC

4

3

1

-

25

25

50

100

 

Object Oriented Programming using Java

DC

3

3

-

-

25

25

50

100

 

Biology For Engineers

DC

3

3

-

-

25

25

50

100

 

Technical Writing

AE

2

2

-

-

25

25

50

100

 

Environmental Science

GE

2

2

 

-

25

25

50

100

 

OOP Lab

DC

1

-

 

2

50

-

50

100

 

IOT Lab

DC

1

-

 

2

50

-

50

100

 

Engg. Graphics and Design Lab

SE

3

1

 

4

50

-

50

100

 

Creativity and Innovation

VA

2

2

-

-

-

-

-

100

 

General Proficiency-II

/NCC/Yoga/ Sports/Cultural/MOOC

VA

-

-

-

-

-

-

-

100

 

Total

 

21

16

1

8

275

125

400

1000
Semester - 3

COURSE MODULE

Teaching Periods

Weightage Evaluation

COURSE

Credi t

L

T

P

 

CIE

 

MTE

 

ETE

 

Total

Code

Title

Component

 

Computer Organization and Architecture

DC

3

3

 

-

25

25

50

100

 

Data Structure using C

DC

3

3

-

-

25

25

50

100

 

Theory of Automata

DC

3

3

-

-

25

25

50

100

 

Database Management

System

DC

3

3

-

-

25

25

50

100

 

Discipline Specific Elective-I

DE

3

3

-

-

25

25

50

100

 

Data Structure Lab

DC

1

-

-

2

50

-

50

100

 

DBMS Lab

DC

1

-

-

2

50

-

50

100

 

Python Programming

DC

2

-

-

4

50

-

50

100

 

Universal Human Values

VA

2

2

-

-

25

25

50

100

 

Project Based Learning-I

AE

1

-

-

-

100

-

-

100

 

Social Internship-I

IA

1

-

-

-

-

-

-

100

 

General Proficiency- III/NCC/Yoga/Sports/Cult ural/MOOC

VA

-

-

-

-

-

-

-

100

 

Total

 

23

18

0

8

400

150

450

1200
Discipline Specific Elective –I

COURSE CODE

COURSE NAME

 

Probability and Random Process

 

Fundamental of Cloud Computing and Bigdata

 

Introduction to Cryptography

 

Mathematical Foundation for AI, ML and Data Science

Note:

General Proficiency shall be assessed based on the participation in NCC, NSS, Conferences (Research paper Publication (Journal/ Conference)), Organizing events, competitions (Inter University, State, National, International level) including Music, Debate, Sports, Hackathon and so on OR attaining a MOOC course of minimum 30 hr in the discipline.

Semester - 4

COURSE MODULE

Teaching Periods

Weightage Evaluation

COURSE

Credit

L

T

P

CI

E

MT

E

ET

E

 

Total

Code

Title

Componen t

 

Operating System

DC

3

3

 

-

25

25

50

100

 

Discrete Mathematics

DC

4

3

1

-

25

25

50

100

 

Principles of Artificial Intelligence

DC

3

3

-

-

25

25

50

100

 

Design and Analysis of Algorithms

DC

3

3

-

-

25

25

50

100

 

Discipline        Specific Elective-II

DE

3

3

-

-

25

25

50

100

 

Data Analytics and Visualization Lab

DE

1

-

-

2

50

 

50

100

 

Artificial Intelligence Lab

DC

1

-

-

2

50

 

50

100

 

DAA Lab

DC

1

-

-

2

50

 

50

100

 

Career Skills

VA

2

2

-

-

100

 

 

100

 

Colloquium I

AE

1

-

-

2

100

 

 

100

 

General Proficiency- IV/NCC/Yoga/Sports/Cult

ural/MOOC

VA

-

-

-

-

-

-

 

100

 

Total

 

22

17

1

8

475

125

400

1100
Discipline Specific Elective –II

COURSE CODE

COURSE NAME

 

Biometric Securities

 

Virtualization and Cloud Computing

 

Statistical Data Analysis with R

 

Introduction to Data Analytics and Visualization
Note

General Proficiency shall be assessed based on the participation in NCC, NSS, Conferences (Research paper Publication (Journal/ Conference)), Organizing events, competitions (Inter University, State, National, International level) including Music, Debate, Sports, Hackathon and so on OR attaining a MOOC course of minimum 30 hr in the discipline.

Semester -5

COURSE MODULE

Teaching Periods

Weightage Evaluation

COURSE

Credit

L

T

P

CI

E

MT

E

ET

E

 

Total

Code

Title

Compone nt

 

Software Engineering

DC

3

3

-

-

25

25

50

100

 

Web Technology

DC

3

3

-

-

25

25

50

100

 

Computer Networks

DC

3

3

-

-

25

25

50

100

 

Discipline        Specific Elective-III

DE

3

3

-

-

25

25

50

100

 

Discipline        Specific Elective-III

DE

3

3

 

-

25

25

50

100

 

Constitution of India Law and Engineering

GE

2

2

-

-

25

25

50

100

 

Web Technology Lab

DC

1

-

-

2

50

-

50

100

 

Large Data Sets

Management Lab

DE

1

-

-

2

50

-

50

100

 

Machine Learning Lab

DE

1

-

-

2

50

-

50

100

 

Career Skills

VA

2

2

-

-

100

-

-

100

 

Industry Internship-II

IA

1

-

-

2

-

-

-

100

 

General Proficiency V

/NCC/Yoga/Sports/Cultur al/MOOC

VA

-

 

-

-

-

-

-

100

 

Total

 

23

19

0

10

500

150

450

1200
Discipline Specific Elective –III

COURSE CODE

COURSE NAME

 

Large Data Sets Management

 

Cloud Based Application development and Management

 

Introduction Machine Learning

 

Communication Models and Protocols

 

Computer System Security
Note:

General Proficiency shall be assessed based on the participation in NCC, NSS, Conferences (Research paper Publication (Journal/ Conference)), Organizing events, competitions (Inter University, State, National, International level) including Music, Debate, Sports, Hackathon and so on OR attaining a MOOC course of minimum 30 hr in the discipline.

Semester -6

COURSE MODULE

Teaching Periods

Weightage Evaluation

COURSE

Credit

L

T

P

 

CIE

 

MTE

 

ETE

 

Total

Code

Title

Compone

nt

 

Data Mining

DC

3

3

-

-

25

25

50

100

 

Business Intelligence

DC

3

3

-

-

25

25

50

100

 

Discipline        Specific

Elective-IV

DE

3

3

 

-

25

25

50

100

 

Discipline        Specific

Elective-IV

DE

3

3

-

-

25

25

50

100

 

Engineering Economics

GE

3

3

-

-

25

25

50

100

 

Data Mining Lab

DC

1

-

-

2

50

-

50

100

 

Deep Learning Lab

DE

1

-

-

2

50

-

50

100

 

Image Analytics Lab

DE

1

-

-

2

50

-

50

100

 

Project Based Learning II

AE

1

-

-

2

100

-

-

100

 

Career Skills

VA

2

2

-

-

100

-

-

100

 

Colloquium-II

AE

1

-

-

2

100

-

-

100

 

General Proficiency VI

/NCC/Yoga/Sports/Cultur al/MOOC

VA

-

-

-

-

-

-

-

100

 

Total

 

22

17

0

8

575

125

400

1200
Discipline Specific Elective –III

COURSE CODE

COURSE NAME

 

Deep Learning

 

Information Retrieval

 

Image Analytics

 

Devops on cloud

 

Network Programming and wireless technologies
Note:

General Proficiency shall be assessed based on the participation in NCC, NSS, Conferences (Research paper Publication (Journal/ Conference)), Organizing events, competitions (Inter University, State, National, International level) including Music, Debate, Sports, Hackathon and so on OR attaining a MOOC course of minimum 30 hr in the discipline.

Semester -7

COURSE MODULE

Teaching Periods

Weightage Evaluation

COURSE

Credit

L

T

P

 

CIE

 

MTE

 

ETE

 

Total

Code

Title

Compone

nt

 

Compiler Design

DC

3

3

 

-

25

25

50

100

 

Cloud Computing

DC

3

3

-

-

25

25

50

100

 

Natural Language

Processing

DC

3

3

-

-

25

25

50

100

 

Discipline        Specific

Elective-IV

DE

3

3

-

-

25

25

50

100

 

Discipline        Specific

Elective-IV

DE

3

3

-

-

25

25

50

100

 

Industry Internship

IA

1

-

-

2

-

-

-

100

 

Major Project Phase I

IA

4

-

-

8

100

-

-

100

 

General Proficiency-

VII/NCC/Yoga/Sports/Cul tural/MOOC

VA

-

-

-

-

-

-

-

100

 

Total

 

20

15

0

10

225

125

250

700
Discipline Specific Elective –IV

COURSE CODE

COURSE NAME

 

Data Security and Privacy

 

Computer Forensics

 

Generative AI

 

Cloud Infrastructure Services

 

Business Intelligence
Note:

General Proficiency shall be assessed based on the participation in NCC, NSS, Conferences (Research paper Publication (Journal/ Conference)), Organizing events, competitions (Inter University, State, National, International level) including Music, Debate, Sports, Hackathon and so on OR attaining a MOOC course of minimum 30 hr in the discipline.

SEMESTER -8

COURSE MODULE

Teaching Periods

Weightage Evaluation

COURSE

Credit

L

T

P

 

CIE

 

MTE

 

ETE

 

Total

Code

Title

Compone

nt

 

Discipline        Specific

Elective-VI

DE

3

3

-

-

25

25

50

100

 

Discipline        Specific Elective-VI

DE

3

3

 

-

25

25

50

100

 

Generic Elective

GE

3

3

-

-

25

25

50

100

 

Major Project Phase-II

IA

4

 

-

8

50

-

50

100

 

General Proficiency- VIII/NCC/Yoga/Sports/C

ultural/MOOC

VA

-

-

-

-

-

-

-

100

 

Total

 

13

9

0

8

125

75

200

500
Discipline Specific Elective –VI

COURSE CODE

COURSE NAME

 

Recent Trends in AI

 

Advance Computer Vision

 

Block Chain

 

Mobile Computing

 

Soft Computing
Note:

1. Generic Elective can also be opted from Swayam Portal and students should produce Grade certificate on successful completion of the course but the content should not match with the courses offered under the curriculum.

2. General Proficiency shall be assessed based on the participation in NCC, NSS, Conferences (Research paper Publication (Journal/ Conference)), Organizing events, competitions (Inter University, State, National, International level) including Music, Debate, Sports, Hackathon and so on.

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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