B TECH
Computer Science and Engineering
(Artificial Intelligence and Machine Learning)

  • Teacher
    offered by
    School of Computing
  • Category
    Under Graduate
  • FFCBCS

B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) is a Four-year professional program leading to a Bachelor of Technology in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning. The program emphasizes acquiring knowledge and contemporary skills on computing systems and developing software through Experiential learning relevant to the domain of Artificial Intelligence and Machine Learning. The program focuses on a student-centric learning approach through classroom study, Industry-based Internships, and Project-Work in core and advanced courses. The courses offered in the program include the Core subjects of Computer Science and specialized subjects like Intelligent Systems, Pattern Recognition, Machine Leaning, Deep Learning, Cognitive Systems, Robotics and Automation, Business Intelligence, and courses in cutting-edge technologies. The program started in the year July, 2021.

EDUCATIONAL OBJECTIVES

After few years of graduation, the graduates of B.Tech. CSE (AI&ML) will be:
PEO1. Pursuing higher studies in core, specialized or allied areas of Computer Science, or Management.
PEO2. Employed in reputed Computer and I.T organizations or Government to have a globally competent professional career in Computer Science and Engineering domain or be successful Entrepreneurs.
PEO3. Able to demonstrate effective communication, engage in teamwork, exhibit leadership skills and ethical attitude, and achieve professional advancement through continuing education.


S. No.

Basket

Credits
(Min.- Max.)

1

SCHOOL CORE

50-54

2

PROGRAM CORE

45-61

3

PROGRAM ELECTIVE

12-18

4

SPECIALIZATION ELECTIVE

24-36

5

UNIVERSITY ELECTIVE

9-12

TOTAL CREDITS

Min. 160

On successful completion of the Program, the graduates of B. Tech. CSE (AI&ML) program will be able to:
PSO1. Apply knowledge of computer science engineering, Use modern tools, techniques and technologies for efficient design and development of computer-based systems for complex engineering problems.
PSO2. Design and deploy networked systems using standards and principles, evaluate security measures for complex networks, apply procedures and tools to solve networking issues.
PSO3. Develop intelligent systems by applying adaptive algorithms and methodologies for solving problems from inter-disciplinary domains.
PSO4. Apply suitable models, tools and techniques to perform data analytics for effective decision making.

For 2022-23 Admitted Students

Program Features

  • Duration : 04 Years
  • Credits : 160
  • Internships : 01
  • Capstone Projects : 01