B.Sc.AI & ML

SIICS Course

Course Objectives

The Bachelor of Science in Artificial Intelligence and Machine Learning (B.Sc (AI & ML)) and B.Sc (AI & ML) Honors and Research; program is designed to provide advanced education and training in the field of AI and ML. Driven by the combination of increased access to data, computational power, and improved algorithms, Artificial Intelligence (AI) technologies are entering the mainstream of technological innovation. These technologies include search, machine learning, natural language processing, robotics and computer vision

Career Growth Pathway

Bachelor of Science in Computer Science

Job Opportunities

Use B.Sc. CS - Bachelor of Science in Computer Science

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Course

Eligibility

Passed Standard XII (10+2) or equivalent examination with Physics and Mathematics

Passed Standard XII (10+2) or equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/ Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering Graphics/ Business Studies from any recognized Board with a minimum of 50% marks or equivalent grade (45% marks or equivalent grade for Scheduled Caste/ Scheduled Tribes).

Syllabus

First Year SIICS Course Syllabus

Course Code	Course Name
AIML-101-T	Object Oriented concepts and Programming using C++
AIML-102-P	Practical based on AIML-101-T
MTS-101-T	Discrete Structures for Computer Science
MTS-102-P	Practical based on MTS-101-T
STS-101-T	Notion of Statistical Data Analysis
STS-102-P	Practical based on STS-101-T
OE-101-AIML-T	From University Basket*
SEC-101-AIMLT	Basic Probability theory and Discrete Distributions
AIML-101-IKS	Generic IKS
AEC-101-ENG	English
VEC-101-ENV	EVS-I

Course Code	Course Name
AIML-151-T	Introduction to Python Programming
AIML-152-P	Practical based on AIML-151-T
MTS-151-T	Graph Theory
MTS-152-P	Practical based on MTS-151-T
STS-151-T	Continuous Probability Distributions and Testing of Hypothesis
STS-152-P	Practical based on STS-151-T
OE-151-AIML-T	From University Basket*
SEC-151-AIML-T	Databases – I
AEC-151-ENG	English
VEC-151-ENV	EVS-II
CC-151-PE/ NSS /NCC	From University Basket

Course Code	Course Name
AIML-201-MJ-T	Data Structures (using Python)
AIML-202-MJ-T	Software Engineering
AIML-203MJ-P	Lab course on AIML201MJ + AIML202MJ
AIML-221-VSC-P	Advanced Python Programming
AIML-201-IKS	Computing in Ancient India
AIML-231-FP	Mini Project
AIML-241-MN-T	Linear Algebra
AIML-242-MN-P	Practical on AIML241MN
OE-201-AIML-T	From University Basket*
AEC-201-ENG	From University Basket
CC-201-PE/NSS /NCC	From University Basket

Course Code	Course Name
AIML-251-MJ-T	Microservices using Python
AIML-252-MJ-T	Artificial Intelligence – I
AIML-253-MJ-P	Practical based on AIML251MJ + AIML252M
AIML-221-VSC-P	Databases – II
AIML-241-FP	Mini Project
AIML-241-MN-T	Logic
AIML-242-MN-P	Practical based on AIML241MN
OE-251-AIML-T	From University Basket* 2
SEC-251-AIML-P	DAA – I (Brute Force, D&C, Greedy, Dynamic Programming)
AEC-251-SUB	From University Basket
CC251PE/NSS /NCC	From University Basket

Course Code	Course Name
AIML-301-MJ-T	Artificial Intelligence – II
AIML-302-MJ-T	Machine Learning Techniques – I (Supervised)
AIML-303-MJ-T	Data Preparation and Visualization
AIML-304-MJ-T	DAA – II (Backtracking, B&B, Randomized, P&NP and approximation algos)
AIML-305-MJ-P	Practical based on AIML301MJ
AIML-306-MJ-P	Practical based on AIML302MJ & AIML303MJ
AIML-310-MJ-T	Big Data Analytics
AIML-311-MJ-P	Practical based on AIML306MJ
	OR
AIML-312-MJ-T	MEAN – I
AIML-313-MJ-P	Practical based on AIML308MJ
	OR
AIML-314-MJ	Mobile app development
AIML-315-MJ-P	Practical based on AIML310MJ
AIML-321-VSC-P	Linux Shell Scripting
AIML-331-FP	Project
AIML-341-MN-T	Calculus for ML

Course Code	Course Name
AIML-351-MJ-T	Optimization Techniques
AIML-352-MJ-T	Machine Learning Techniques – II
AIML-353-MJ-T	Data Mining Techniques
AIML-354-MJ-T	Evolutionary Algorithms (FL, GA)
AIML-355-MJ-P	Practical based on AIML351MJ
AIML-356-MJ-P	Practical based on AIML352MJ & AIML353MJ
AIML-360-MJ-T	Business Intelligence (Atoti)
AIML-361-MJ-P	Practical based on AIML357MJ
	OR
AIML-362-MJ-T	MEAN II
AIML-363-MJ-P	Practical based on AIML359MJ
	OR
AIML-364-MJ-T	Game Theory
AIML-365-MJ-P P	Practical based on AIML361MJ
AIML-371-VSC-P	Database Technologies (Unstructured Databases)
AIML-381-OJT	On Job Training