Minor Degree

  • Home
  • Academics
  • Minor Degree

Minor Degree

List of Minor Degrees and their Details

  • Electrical Vehicle (ECE jointly with ME)
  • AI and Machine Learning (CSE)
  • Blockchain Technology (CSE)
  • Data Science (CSE)
  • Internet of Things ( CSE jointly with ECE)
  • Robotics and Automation (ME jointly with CSE and ECE)
  • Smart Manufacturing (ME)

Details of the Courses:

1. Electrical Vehicle

Coordinating Discipline: Electronics and Communication Engineering

Sl no

Course No

Course Name

 

1

 

Fundamentals of Electrical Vehicles

3-0-0-3

2

 

Electrical Drives and Control

3-0-0-3

3

 

Electrical vehicle and Mobility

3-0-0-3

4

 

Energy Storage Systems

3-0-0-3

5

 

AI and Machine Learning

3-0-0-3

6

 

Project

0-0-4-2

 

2. Artificial Intelligence & Machine Learning*

Coordinating Discipline: Computer Science and Engineering

Sl no

Course No

Course Name

 

1

 

Artificial Intelligence

(Or)

2-0-2-3

 

 

Artificial Intelligence Search Methods For Problem Solving

12 weeks Swayam Course

2

 

Machine Learning

(Or)

2-0-2-3

 

 

Introduction to Machine Learning

12 weeks Swayam Course

3

 

Mini Project

0-0-4-2

ELECTIVES (Choose any three)

4

 

Basics of Deep Learning

2-0-2-3

5

 

Computer Vision

2-0-2-3

6

 

Natural Language Processing

2-0-2-3

7

 

Reinforcement Learning

2-0-2-3

8

 

Fundamentals of Artificial Intelligence

12 weeks

9

 

Deep Learning

12 weeks

10

 

Deep Learning for Computer Vision

12 weeks

11

 

Applied Natural Language Processing

12 weeks

12

 

Reinforcement Learning

12 weeks

  • For non - CSE students, the course Algorithms (CS532) is a prerequisite

 

3. Internet of Things

Coordinating Discipline: Computer Science and Engineering in association with Electronics and Communication Engineering

Sl no

Course No

Course Name

 

1

 

Computer Networks

2-0-2-3

2

 

Internet of Things

(OR)

3-0-0-3

 

 

Introduction to internet of things

12 weeks Swayam Course

3

 

Mini Project

0-0-4-2

ELECTIVES (Choose any three)

4

 

Wireless Sensor Networks

3-0-0-3

5

 

Digital Communication

3-0-0-3

6

 

Digital Signal Processing

3-0-0-3

7

 

Antenna Theory and Design

3-0-0-3

8

MT503

Sensors and Actuators

3-0-0-3

9

MT612

PLC and microcontroller

2-0-4-5

10

ME692

Industrial Internet of Things

2-0-2-4

11

EC661

Fuzzy logic and Neural Network

3-0-0-3

12

EC420c

Information Theory and Coding

3-0-0-3

13

EC529

Advanced Micro and Nano Devices

3-0-0-3

14

MT503

Sensors and Actuators

3-0-0-3

15

MT612

PLC and microcontroller

2-0-4-5

16

ME692

Industrial Internet of Things

2-0-2-4

17

EC661

Fuzzy logic and Neural Network

3-0-0-3

18

EC420c

Information Theory and Coding

3-0-0-3

19

EC529

Advanced Micro and Nano Devices

3-0-0-3

20

Swayam 2(CS)

Introduction to Industry 4.0 and Industrial Internet of Things

12 weeks

 

 

4. Blockchain Technology

Coordinating Discipline: Computer Science and Engineering

Sl no

Course No

Course Name

 

1

OE10a 

Introduction to Blockchain Technology

2-0-2-3

2

 

Distributed Systems

3-0-0-3

3

 

Mini Project

0-0-4-2

ELECTIVES (Choose any three)

4

 

Cyber Security

3-0-0-3

5

 

Network Security & Cryptography

3-0-0-3

6

 

Internet Technology

3-0-0-3

7

 

Introduction to Wireless and Cellular Communications

12 weeks

8

 

Peer To Peer Networks

8 weeks

 

5. Data Science

Coordinating Discipline: Computer Science and Engineering

Sl no

Course No

Course Name

 

1

 

Probability and Statistics

3-0-0-3

2

 

Data Science

(OR)

2-0-2-3

 

 

Data Science for Engineers

08 weeks Swayam Course

3

 

Machine Learning

(Or)

2-0-2-3

 

 

Introduction to Machine Learning

12 weeks Swayam Course

4

 

Mini Project

0-0-4-2

ELECTIVES (Choose any two)

5

 

Social Network Analysis

3-0-0-3

6

 

Data Mining and Data Warehousing

3-0-0-3

7

 

Big Data Analytics

3-0-0-3

8

 

Inferential Statistics

3-0-0-3

9

 

Data Mining

12 weeks

10

 

Big Data Computing

8 weeks

 

 

6. Robotics and Automation

Coordinating Discipline: Mechanical Engineering in association with Computer Science and Engineering and Electronics and Communication Engineering

Sl no

Course No

Course Name

 

1

 

Fundamental of Robotics*

2-0-2-3

2

 

Control Systems

3-0-0-3

3

 

Microcontroller/ Microcontroller and Practices/ Embedded Systems

1-0-2-2

4

 

Mini Project

0-0-4-2

ELECTIVES (Choose any two)

5

 

Electrical Devices and Drives 

3-0-0-3

6

 

Sensors and Actuators

3-0-0-3

7

 

Robotics and AI (OR) Robotics and Intelligent Systems (OR) Artificial Intelligence for Robotics

3-0-0-3

8

 

Robot Process Automation

3-0-0-3

9

 

Mechatronics

3-0-0-3

10

 

Human Centred Robotics

3-0-0-3

11

 

Programmable Logic Controller

1-0-2-2

12

 

Computer Vision

3-0-0-3

13

 

Machine Learning

3-0-0-3

14

 

Reinforcement Learning

3-0-0-3

15

 

Flexible Manufacturing Systems

3-0-0-3

16

 

Automated Material Handling

3-0-0-3

17

 

Advanced Automation

3-0-0-3

 

 

7. Smart Manufacturing

Coordinating Discipline: Mechanical Engineering in association with Computer Science and Engineering

Sl no

Course No

Course Name

 

1

 

Industrial Internet of Things or Industry 4.0

2-0-2-3

2

 

Cyber Physical Production Systems

3-0-0-3

3

 

Industrial Automation

1-0-2-2

4

 

Mini Project

0-0-4-2

ELECTIVES (Choose any two)

5

 

Computer Aided Product Development

3-0-0-3

6

 

Machine Vision (OR) Computer Vision

3-0-0-3

7

 

Machine Learning

3-0-0-3

8

 

Automated Material Handling

3-0-0-3

9

 

Rapid Product Development Technologies

3-0-0-3

10

 

Digital Electronics & Microprocessor

3-0-0-3

11

 

Control Systems

1-0-2-2

12

 

Advanced Cyber Physical System

3-0-0-3

13

 

Manufacturing Execution System

3-0-0-3

14

 

Manufacturing Analytics

3-0-0-3

15

 

Augmented and Virtual Reality

3-0-0-3

16

 

Measurements, Instrumentation and Smart Sensing Technologies

3-0-0-3

17

 

Cloud Computing

3-0-0-3

18

 

Flexible Manufacturing System

3-0-0-3

19

 

Advanced Automation

3-0-0-3

20

 

Data Visualization

3-0-0-3

21

 

Digital Thread

3-0-0-3

 

 

 

Note:

  • In each minor degree a student needs to do 5 courses and one project.
  • There are some compulsory courses which are mandatory part of the minor degree. Remaining courses can be chosen from the list provided for each minor degree.
  • In case a compulsory course is already done by a student as a part of a major degree he has to take another course from electives.
  • At Least 2 courses to be done at the Institute level remaining three courses can be done by Swayma platform or Institute Level (if running). Equivalency of the summer course will be checked and approved by corresponding discipline offering a minor degree.
  • Only one course with the same/similar title will be counted for minor degree, either done through Swayam or as a regular course offered by the Institute. For example, if a student registers in Artificial Intelligence as a regular course offered by the Institute, then the Swayam course ‘Artificial Intelligence’ completed by him/her will not be counted for the minor degree requirement.
  • Further if there are two courses with 25% or more overlap in their contents, then only one of the courses will be considered for counting the credit requirements for the minor degree.
  • Any new course either offered by the institute or by SWAYAM which may be relevant for a minor degree can be allowed/included/substituted for any of the requirements for that minor degree. For this, a separate notification will be made by the Academic section suitably.
  • The credit requirements can vary between 13 to 17 including two credits for project work.

 


© IIITDM JABALPUR 2023-24 - All rights reserved. | Web Team