Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by Year | Full-time | Private |
Semester | Subjects/Topics |
---|---|
1 | Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication Skills |
2 | Data Structures and Algorithms, Database Management Systems, Object-Oriented Programming, Discrete Mathematics |
3 | Operating Systems, Computer Networks, Introduction to Machine Learning, Statistics for Machine Learning |
4 | Advanced Machine Learning, Deep Learning Fundamentals, Web Technologies, Software Engineering |
5 | Natural Language Processing, Computer Vision, Big Data Analytics, Elective I (e.g., Robotics, IoT, etc.) |
6 | Capstone Project, Elective II (e.g., Advanced Deep Learning, Reinforcement Learning, etc.), Industry Internship/Training |
Semester | Important Topics |
---|---|
Semester 1 | Introduction to Programming, Basics of Artificial Intelligence, Mathematics for Computer Science |
Semester 2 | Data Structures and Algorithms, Python Programming, Statistics for AI & ML |
Semester 3 | Machine Learning Fundamentals, Database Management Systems, Linear Algebra for AI & ML |
Semester 4 | Deep Learning, Natural Language Processing, AI & ML Project Management |
Semester 5 | Advanced Machine Learning, Computer Vision, Big Data Analytics |
Semester 6 | Reinforcement Learning, Robotics in AI, Capstone Project in AI & ML |