Course Duration | Course Level | Course Fee | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies | Online/On-campus | Private |
Semester | Subjects |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication Skills |
Semester 2 | Data Structures and Algorithms, Object-Oriented Programming, Linear Algebra for Machine Learning, Environmental Studies |
Semester 3 | Database Management Systems, Operating Systems, Probability and Statistics for Machine Learning, Python for Data Science |
Semester 4 | Machine Learning Fundamentals, Deep Learning Basics, Artificial Neural Networks, Web Technologies |
Semester 5 | Advanced Machine Learning, Natural Language Processing, Computer Vision, Minor Project |
Semester 6 | Reinforcement Learning, Ethical Issues in AI, Big Data Analytics, Major Project |
Semester | Important Topics |
---|---|
Semester 1 | Introduction to Programming, Basics of Computer Systems, Mathematics for Computer Science |
Semester 2 | Data Structures and Algorithms, Object-Oriented Programming, Linear Algebra |
Semester 3 | Database Management Systems, Operating Systems, Probability and Statistics |
Semester 4 | Machine Learning Fundamentals, Artificial Intelligence Basics, Python for Data Science |
Semester 5 | Deep Learning, Natural Language Processing, Computer Vision |
Semester 6 | Advanced Machine Learning, Reinforcement Learning, Capstone Project in AL-ML |