B.Tech. COMPUTER SCIENCE AND ENGINEERING

                                                                                               (Specialization in Artificial Intelligence & Machine Learning)

 

Artificial intelligence has emerged as the vital force behind several revolutionary digital innovations and technologies. It has been growing at an increased pace due to its versatility and advanced features in areas including health, transport, security and many more. With the world been quietly reshaped by machine learning, it has led to an enormous change in the course of our lives. Implementing ML in day to day lives resulted in making our jobs both easier and productive. Apart from providing advanced solution it has turned out to be an important metric for competitive edge business and innovation.

This course would be a pathway for students to focus on real time applications across all fields including information technology, media and entertainment, gaming, automative industry, and even banking and finance. Hands on training would keep students connected to advanced features of such intelligent learning systems and enhance the quality of present-day technology. The course would provide them in finding a lucrative career and a bright future both in terms of technology, research and innovation.

DURATION: 4 YEARS.

Important courses:

Reinforcement Learning

Machine Learning Techniques

Neural Networks and Deep Learning

Artificial Intelligence: Principles and Techniques

Introduction to Data Science

Pattern Matching and Anomaly Detection.

Infrastructure:

Artificial Intelligence being the most sought-after skill in the industry, Karunya is partnering with Nvidia, the technology leader in AI computing. As a part of this initiative, Karunya has procured Nvidia DGX Station, with four Nvidia Tesla V100 Tensor Core GPUs each with 32 GB memory and Intel Xeon processor with 20 cores, the workstation delivers 500 teraFLOPS of AI power. The DGX Station can accelerate machine learning training up to 215X faster and carry out deeper exploration in the fields of Data Science, Machine Learning and Deep Learning. Also the department has signed an MoU with IBM India Pvt Ltd. The IBM Big Data Software Centre of Excellence is an initiative with a vision to enable the students and faculty in higher education to gain the relevant skills in Big Data Analytics, experiential learning and to make them adept with latest Big Data technology and tools. Currently the researchers are involved in research projects on Bio-medical text mining, Analytics in surveillance videos, Data Analytics on Social Media data, Drug Analysis, Predictive Analytics for cancer, fraudulent data Analytics, and traffic data analytics.

                                                                                                                    SEMESTER-WISE CURRICULUM 

 

Semester-1

Course Code

Course Title

L

T

P

Credits

 

English / French / German

2

0

0

2

20CS2024

Ethics in Information Technology

2

0

0

2

20MA1005

Mathematical Foundations of Computing

3

1

0

4

20CS1001

Programming for Problem Solving

3

0

3

4.5

18EC2003

Digital System Design

3

0

0

3

18EC2004

Digital System Design Lab

0

0

2

1

 

Mandatory Course I

 

 

 

 

Total

16.5

Semester-2

20MA1006

Calculus, Vector Spaces and Laplace Transform

3

1

0

4

20CS1002

Python Programming

3

0

3

4.5

20CS2030

Internet of Things

3

0

3

4.5

18EC2028

Microprocessor and Microcontroller

3

0

0

3

18EC2029

Microprocessor and Microcontroller Lab

0

0

2

1

20MS2003

Concepts of Entrepreneurship

1

0

0

1

 

Mandatory Course II

 

 

 

 

Total

18

Semester-3

20MA2004

Partial Differential Equations, Probability and Statistics

3

1

0

4

21CS2007

Artificial Intelligence: Principles and Techniques

3

0

0

3

20CS2013

Data Structures and Algorithms

3

0

3

4.5

20CS2035

Object Oriented Programming

3

0

3

4.5

20CS2009

Computer Organization and Architecture

3

0

0

3

20MS2004

Entrepreneurship and Product Development

3

0

0

3

Total

22

Semester-4

20MA2005

Discrete Structures

3

1

0

4

20CS2018

Design and Analysis of Algorithms

3

0

3

4.5

20CS2036

Operating Systems

3

0

3

4.5

20CS2007

Computer Communication Networks

3

0

3

4.5

20MS2007

Business Plan

3

0

0

3

MP2921/ SIP2921

Mini Project / Summer Internship - I

0

0

2

1

20MS2005

Soft Skills

1

0

0

1

Total

22.5

Semester-5

20CS2016

Database Management Systems

3

0

3

4.5

21CS2009

Pattern Matching and Anomaly Detection

3

0

0

3

20CS2031

Introduction to Data Science

3

0

3

4.5

20CS2057

Web Technology

3

0

3

4.5

20CS2055

Theory of Computation

3

0

0

3

 

Professional Elective-1

3

0

0

3

Total

22.5

Semester-6

20CS2044

Reinforcement Learning

3

0

0

3

20CS2010

Cryptography and Network Security

3

0

2

4

20CS2032

Machine Learning Techniques

3

0

3

4.5

20CS2050

Software Engineering

3

0

3

4.5

 

Professional Elective-2

3

0

0

3

 

Open Elective - 1

3

0

0

3

MP2911/ SIP2911

Mini Project / Summer Internship - II

0

0

4

2

Total

24

Semester-7

20CS2034

Neural Networks and Deep Learning

3

0

3

4.5

 

Open Elective - 2

3

0

0

3

 

Professional Elective-3

3

0

0

3

 

Professional Elective-4

3

0

0

3

 

Professional Elective-5

3

0

0

3

 

Professional Elective-6

3

0

0

3

 

Professional Elective-7

3

0

0

3

Total

22.5

Semester-8

20CS2999

Project

0

0

18

12

 

Total

 

 

 

12

 

Online Course

 

 

 

5*

Grand Total

165