Year | Semester | Subjects |
---|---|---|
1 | 1 | Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence |
1 | 2 | Data Structures and Algorithms, Database Management Systems, Principles of Machine Learning |
2 | 1 | Advanced Programming, Linear Algebra and Statistics, Deep Learning Fundamentals |
2 | 2 | Computer Networks, Natural Language Processing, Machine Learning Projects |
3 | 1 | Big Data Analytics, Robotics and Perception, Ethics in AI |
3 | 2 | Capstone Project in AL-ML, Electives (e.g., Computer Vision, Reinforcement Learning), Industry Internship |
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, Statistics for AL & ML |
Year 2 - Semester 1 | Algorithms, Database Management Systems, Linear Algebra for ML |
Year 2 - Semester 2 | Operating Systems, Probability and Random Processes, Introduction to Deep Learning |
Year 3 - Semester 1 | Computer Networks, Machine Learning Models, Ethics in AI |
Year 3 - Semester 2 | Advanced Machine Learning, Project Work, Electives (AI in Healthcare, NLP, Robotics) |