Semester | Subjects |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication Skills |
Semester 2 | Data Structures and Algorithms, Database Management Systems, Object-Oriented Programming, Principles of Machine Learning |
Semester 3 | Advanced Mathematics for AI, Operating Systems, Computer Networks, Statistics for Machine Learning |
Semester 4 | Deep Learning, Natural Language Processing, AI & ML Project Management, Elective I |
Semester 5 | Machine Learning at Scale, Computer Vision, Elective II, Industry Project I |
Semester 6 | Advanced Topics in AI & ML, Elective III, Industry Project II, Seminar on Emerging Technologies |
Semester | Important Topics |
---|---|
Semester 1 | Introduction to Programming, Fundamentals of Computer Systems, Mathematics for Computer Science |
Semester 2 | Object-Oriented Programming, Data Structures and Algorithms, Database Management Systems |
Semester 3 | Operating Systems, Discrete Mathematics, Introduction to Artificial Intelligence |
Semester 4 | Machine Learning Basics, Probability and Statistics for AI, Linear Algebra for Machine Learning |
Semester 5 | Deep Learning, Natural Language Processing, Computer Vision |
Semester 6 | Advanced Machine Learning Models, AI Ethics and Policy, Capstone Project in AL-ML |