Year 1 | Year 2 | Year 3 |
---|---|---|
Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, Basics of Machine Learning, Data Structures | Advanced Programming, Probability and Statistics, Deep Learning Fundamentals, Algorithms for AI and ML, Database Management Systems | Neural Networks, Natural Language Processing, Computer Vision, AI and ML Project, Electives (such as Robotics, Advanced Data Analytics, etc.) |
Semester/Year | Important Topics |
---|---|
Year 1 - Semester 1 | Introduction to Programming, Basics of AL & ML, Mathematics for Computing |
Year 1 - Semester 2 | Data Structures, Object-Oriented Programming, Probability and Statistics |
Year 2 - Semester 1 | Algorithms, Database Management Systems, Linear Algebra for ML |
Year 2 - Semester 2 | Machine Learning Fundamentals, Artificial Intelligence Principles, Python for Data Science |
Year 3 - Semester 1 | Deep Learning, Natural Language Processing, Big Data Analytics |
Year 3 - Semester 2 | Advanced ML Models, AI Project Management, Ethics in AI |