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CSE - Arificial Intelligence & Machine Learning

B Tech CSE- Artificial Intelligence and Machine Learning Course Structure
Regulation A-20 I Year I Semester

Sl.No.

Course Category

Dept Course

Course Code

Course

L

T

P

C

Max. Marks

CIE

SEE

1

BS

S&H

8HC04

Engineering Chemistry

4

0

0

4

30

70

2

ES

IT

8FC01

Problem Solving using C

3

0

0

3

30

70

3

BS

S&H

8HC10

Linear Algebra and Calculus

2

1

0

3

30

70

4

ES

S&H

8BC01

Workshop/Manufacturing Processes

1

0

0

1

30

70

5

HS

S&H

8HC01

Oral Communication Skills

1

0

0

1

30

70

6

BS

S&H

8HC08

Basic Mathematics, Analysis and Reasoning

2

1

0

3

30

70

7

BS

S&H

8HC64

Engineering Chemistry Lab

0

0

2

1

30

70

8

ES

IT

8FC61

Problem Solving using C Lab

0

0

2

1

30

70

9

ES

S&H

8BC61

Workshop/Manufacturing Processes Lab

0

0

2

1

30

70

10

HS

S&H

8HC61

Oral Communication Skills Lab

0

0

2

1

30

70

11

PS

CSE

8E176

Comprehensive Test and Viva –Voce – I(2 Mids(Viva) and End Semester(Test and Viva) = 30+70)

1

0

0

1

30

70

12

PS

CSE

8E184

Technical Seminar – I

0

0

2

1

100

13

HS

S&H

8HC18

Orientation Course*

1

0

0

0

Marks and

Grade will be given at the end of I year II semester

 

 

 

 

Total :

15

2

10

21

430

770

(a) Orientation Course for B. Tech I year I semester Students take place for 3weeks duration covering the first Two Units.

(b) Orientation Course for B.Tech I year II semester Students take place for covering the remaining Four Units(Units III,IV,V, and VI).

B. Tech. CSE- Artificial Intelligence and Machine Learning
I Year II Semester

Sl.
No.

Course Category

Dept Course

Course Code

Course

L

T

P

C

Max. Marks

CIE

SEE

1

BS

S&H

8HC07

Engineering Physics

3

1

0

4

30

70

2

ES

CSE

8EC01

Data Structures and C++

3

0

0

3

30

70

3

BS

S&H

8HC13

Differential Calculus and Numerical Methods

2

1

0

3

30

70

4

ES

S&H

8BC02

Engineering Graphics

1

0

4

3

30

70

5

HS

S&H

8HC02

Written Communication Skills

1

0

0

1

30

70

6

PC

IT

8FC02

Python Programming

2

1

0

3

30

70

7

PC

IT

8F262

IT Workshop and Python Programming Lab

0

0

4

2

30

70

8

BS

S&H

8HC66

Engineering Physics Lab

0

0

2

1

30

70

9

ES

CSE

8EC61

Data Structures (C/C++) Lab

0

0

2

1

30

70

10

HS

S&H

8HC62

Written Communication Skills Lab

0

0

2

1

30

70

11

PS

CSE

8E277

Comprehensive Test and Viva –Voce – II(2 Mids(Viva) and End Semester(Test and Viva) = 30+70)

1

0

0

1

30

70

12

PS

CSE

8E285

Technical Seminar – II

0

0

2

1

100

13

HS

S&H

8HC18

Orientation Course*

2

0

0

0

30

70

 

Grade evaluation

 

 

 

 

Total :

15

3

16

24

460

840

(a) Orientation Course for B. Tech I year I semester Students take place for 3weeks duration covering the first Two Units.

(b) Orientation Course for B.Tech I year II semester Students take place for covering the remaining Four Units(Units III,IV,V, and VI).

B. Tech. CSE- Artificial Intelligence and Machine Learning
II Year I Semester

Sl. No

Dept Course

Course Code

Course

L

T

P

C

Max. Marks

CIE

SEE

1

S&H

8AC41

Probability & Statistics

2

1

0

3

30

70

2

EEE and ECE

8CC54

Elements of Electrical and Electronics Engineering

2

0

0

2

30

70

3

CSE

8EC02

Object Oriented Programming through Java

2

1

0

3

30

70

4

IT

8F303

Discrete Mathematics

2

0

0

2

30

70

5

ECE

8DC12

Computer Organization

2

0

0

2

30

70

6

CSE

 

Advanced Data Structures 

2

0

0

2

30

70

7

S&H

 

AI

2

0

0

2

30

70

 

 

 

Cyber Security and Cyber Laws

2

0

0

2

30

70

8

CSE

8EC62

Object oriented programming through Java Lab

0

0

2

1

30

70

9

CSE& ECE

 

Advanced Data Structures  Lab and Computer Organization Lab

0

0

2

1

30

70

10

EEE and ECE

 

Elements of Electrical and Electronics Engineering Lab

0

0

2

1

30

70

11

CSE

8E378

Comprehensive Test and Viva-voce – III

1

0

0

1

30

70

12

CSE

8E386

Technical Seminar – III

0

0

2

1

100

0

 

 

 

Total :

17

2

8

23

460

840

B. Tech. CSE- Artificial Intelligence and Machine Learning
II Year II Semester

Sl. No

Dept Course

Course Code

Course

L

T

P

C

Max. Marks

CIE

SEE

1

CSE

 

Introduction to Data Science

 

2

0

0

2

30

70

2

CSE

 

Operating Systems

2

1

0

3

30

70

3

IT

 

Design and Analysis of Algorithms

2

1

0

3

30

70

4

CSE

 

Database Management Systems

2

1

0

3

30

70

5

IT

 

Software Engineering and Software Testing

3

0

0

3

30

70

6

MBA

 

Block Chain  /

2

0

0

2

30

70

7

S&H

 

IoT

2

0

0

2

30

70

8

CSE

 

Database Management Systems Lab

0

0

2

1

30

70

9

IT

 

Computer Aided Software Engineering (CASE) Tools Lab and Testing Tools Lab

0

0

2

1

30

70

10

IT

 

Operating Systems Lab and  Design and Analysis of Algorithms Lab

0

0

2

1

30

70

11

CSE

 

Comprehensive Test and Viva –Voce – IV(2 Mids (Viva) and End Semester(Test and Viva) = 30+70)

1

0

0

1

30

70

12

CSE

 

Technical Seminar – IV

0

0

2

1

100

 

 

 

Total :

16

3

8

23

430

770

B. Tech. CSE- Artificial Intelligence and Machine Learning
III Year I Semester

 

Sl. No.

 

Dept./ Course

Course code

 

Course

L

T

P

C

Max. Marks

CIE

SEE

  1.  

Other Branches

 

Open Elective-I

2

0

0

2

30

70

  1.  

CSE/IT

 

Professional Elective – I

3

0

0

3

30

70

  1.  

CSE

 

Data Communications and Computer Networks

3

0

0

3

30

70

  1.  

CSE

 

Data Warehousing and Data Mining

2

1

0

3

30

70

  1.  

S&H

 

Soft Skills

1

0

2

2

30

70

  1.  
 

 

Advanced AI & ML

3

0

0

3

30

70

  1.  

CSE

 

Data Warehousing and Data Mining Lab

0

0

2

1

30

70

  1.  

CSE

 

Computer Networks Lab  and R programming Lab

0

0

2

1

30

70

  1.  

CSE

 

Advanced AI & ML Lab

0

0

2

1

30

70

  1.  

CSE

 

Comprehensive Test and Viva Voce – V

1

0

0

1

30

70

  1.  

CSE

 

Evaluation of Summer Break

– Internship-I (2 Internal Reviews and External Evaluation)

0

0

0

1

30

70

  

 

Total :

15

1

8

21

330

770

B. Tech. CSE- Artificial Intelligence and Machine Learning
III Year II Semester

 

Sl. No

 

Dept Course

Course code

 

Course

L

T

P

C

Max. Marks

CIE

SEE

  1.  

Other branches

 

Open Elective – II

2

0

0

2

30

70

  1.  

CSE /IT

 

Professional Elective – II

3

0

0

3

30

70

  1.  

IT

 

Deep Learning & Neural Networks

2

0

0

2

30

70

  1.  

IT

 

Universal Human Values

2

0

0

2

30

70

  1.  

CSE

 

Web Technologies

2

1

0

3

30

70

  1.  

 

 

Economics, Accountancy and Management Science

2

0

0

2

30

70

  1.  

CSE

 

Big Data 

2

1

0

3

30

70

  1.  

CSE

 

Intellectual Property Rights

1

0

0

1

30

70

  1.  

CSE

 

Big Data Lab & Web Technologies Lab

0

0

2

1

30

70

  1.  

CSE

 

Deep Learning Lab & Neural Networks Lab

0

0

2

1

30

70

  1.  

CSE

 

Comprehensive Test and Viva Voce – VI

1

0

0

1

30

70

  1.  

CSE

 

Group Project – I

0

0

2

1

30

70

 

 

 

Total :

17

2

6

22

360

840

B. Tech. CSE- Artificial Intelligence and Machine Learning
IV Year I Semester

 

Sl. No

 

Dept Course

Course code

 

Course

L

T

P

C

Max. Marks

CIE

SEE

1

CSE/IT

 

Professional Elective – III

3

0

0

3

30

70

2

CSE/IT

 

Professional Elective-IV

3

0

0

3

30

70

3

IT

 

Image Processing, Virtual and Augmented Reality

2

1

0

3

30

70

4

 

 

Environmental Science and Ecology

2

0

0

2

30

70

5

IT

 

Special topics in AI and Applications of AI

3

0

0

3

30

70

6

CSE

 

Cloud Computing

2

0

0

2

30

70

 

CSE

 

Cloud Computing &
Applications of AI Lab

0

0

2

1

30

70

7

IT

 

Image Processing, Virtual and Augmented Reality Lab

0

0

2

1

30

70

8

CSE

 

Project Phase -I Lab

0

0

2

1

30

70

 

 

9

CSE

 

Comprehensive Test and Viva Voce – VII (2 Mids(Viva) and End Semester(Test and Viva) = 30+70)

1

0

0

1

30

70

 

10

CSE

 

Evaluation of Summer Break – Internship – II(2 Internal Reviews and External Evaluation)

0

0

0

1

30

70

 

 

 

Total :

16

1

6

21

330

770

B. Tech. CSE- Artificial Intelligence and Machine Learning
IV Year II Semester

 Sl. No

Dept Course

Course Code

  Course

L

T

P

C

Max. Marks

CIE

SEE

1

Others branches

 

Open Elective- III

2

0

0

2

30

70

2

CSE/IT

 

Professional Elective – V

3

0

0

3

30

70

3

CSE

 

Major Project

10

5

30

70

  

 

Total :

5

0

10

10

90

210

Professional Electives

Professio nal Elective Streams

Professional Elective (PE)

Cod e

PE– I (3-1)

Cod e

PE – II (3-2)

Cod e

PE – III (4-1)

Cod e

PE – IV (4-1)

Cod e

PE – V (4-2)

Data Science

DAS-01

Introduction to Data Science

DAS-02

Introduction to AI and ML

DAS-03

Computational Data analytics

DAS-04

Web Data Mining

DAS-05

Analysing, Visualizing   and   Applying

data science with python

Cybersecurity

CBS-01

Information Theory for Cyber Security

CBS-02

Data Encryption

CBS-03

Steganography                            and                            Digital

Watermarking

CBS-04

Security Assessment and Risk Analysis

CBS-05

Database Security and Access Control

Blockchain

BLC-01

Fundamentals of Blockchain

BLC-02

Smart Contracts and Solidity

BLC-03

Blockchain Platforms and Use cases

BLC-04

Blockchain Security and Performance

BLC-05

Blockchain and FinTech

IoT

IoT-01

Introduction to Internet of Things

IoT-02

Introduction                    to                    Security                    of                    Cyber-

Physical Systems

IoT-03

Ubiquitous sensing, computing and communications                            Sensing,                            Computing                            and Communication                            Sensing,                            Computing                            and Communication

IoT-04

Embedded Systems for IoT

IoT-05

IoT with Arduino, ESP, and Raspberry  Pi

(a) Students who are admitted in the B.Tech course of CSE-AI & ML must take the electives which are mentioned in the last row only, i.e., the subjects of AI&ML.

(b) In the light of the last row “AI & ML / Data Science (CSE Board)” subjects must be removed, i.e., 3rd row of professional electives.

Open Electives

 

Open Elective Streams

Open Elective (OE)

 

Code

 

OE – I (3-1)

 

Code

 

OE – II (3-2)

 

Code

 

OE – III (4-2)

Entrepreneurship Stream

 

Basics of Entrepreneurship

Advanced Entrepreneur ship

Product and Services

Social Sciences Stream

 

Basics of Indian Economy

Basics of Polity and Ecology

Indian History, Culture and Geography.

 

 

Finance Stream

Banking Operations, Insurance and Risk Management

Entrepreneur ship Project Management and  Structured Finance

 

Financial Institutions, Markets and Services

Mechanical

Smart Materials

Principles of Operations Research

Principals of Manufacturing Processes

 

 

 

Electrical

 

Control System Engineering

Fundamentals of   Measurements and Instrumentation

 

Fundamentals of Renewable Energy Sources

Electronics

Embedded Systems

Introduction to VLSI

Design

 

Electronics Circuit Design and Analysis

Innovation and Design Thinking

Design Literacy and Design Thinking

Co-Creation and Product Design

Entrepreneurs hip & Business Design