PROGRAM OUTCOMES (PO)

PO 1 : Develop knowledge in the field of AI & ML courses necessary to qualify for the degree.

PO 2 : Acquire a rich basket of value added courses and soft skill courses instilling self-confidence and moral values.

PO 3 : Develop problem solving, decision making and communication skills.

PO 4 : Demonstrate social responsibility through Ethics and values and Environmental Studies related activities in the campus and in the society.

PO 5 : Strengthen the critical thinking skills and develop professionalism with the state of art ICT facilities.

PO 6 : Quality for higher education, government services, industry needs and start up units through continuous practice of preparatory examinations.

PO 7 : Gain inter-disciplinary, multi-disciplinary competence as value additions.

CURRICULUM & SYLLABUS

MINIMUM CREDITS TO BE EARNED: 140

Category	Course		Hours/Week		Credits
		Lecture	Tutorial	Practical
Core	Basics of Artificial Intelligence and Machine Learning	3	0	0	3
Core	Object Oriented Programming using Python	4	0	0	4
Core	Python Programming Lab	0	0	4	2
Core	Mathematics – I	4	0	0	4
AECC	Language-I	5	0	0	5
AECC	English-I	5	0	0	5
	Total	21	0	4	23

 

View full course curriculum

Program	Eligibility	Criteria for Merit
B.Sc Computer Science with specialisation in Artificial Intelligence and Machine Learning	Pass in (10+2) or equivalent with Maths/ Computer Science/ Business Maths/ Statistics/ Informatics Practices Lateral Entry: Pass in Diploma in Computer Science/ ECE/ Visual Communication/ EEE/ Information Technology/ Computer Technology	Merit based on the percentage of marks secured in the qualifying examination

Tuition Fee 2023 - 2024 (Per Sem)	Other Fee (Per Sem)	Total Fee (Per Sem)
45,000	6,500	51,500