Course Duration | Course Level | Course Fee | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies | Full-time | College |
Semester | Subjects |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence |
Semester 2 | Data Structures and Algorithms, Database Management Systems, Principles of Machine Learning |
Semester 3 | Advanced Programming, Linear Algebra and Statistics for Machine Learning, Deep Learning Fundamentals |
Semester 4 | Machine Learning Models, Natural Language Processing, Computer Vision |
Semester 5 | Advanced Machine Learning, Project Work (Part 1), Elective 1 |
Semester 6 | Industry Internship/Project Work (Part 2), Elective 2, Elective 3 |
Semester | Important Topics in AL-ML |
---|---|
Semester 1 | Introduction to Programming, Basics of Artificial Intelligence, Linear Algebra for Machine Learning |
Semester 2 | Statistics for Machine Learning, Python for Data Science, Introduction to Machine Learning |
Semester 3 | Data Structures and Algorithms, Database Management Systems, Deep Learning Fundamentals |
Semester 4 | Advanced Machine Learning, Natural Language Processing, Computer Vision |
Semester 5 | Reinforcement Learning, Big Data Analytics, AI Ethics and Law |
Semester 6 | Capstone Project in AL-ML, Industry Internship, Advanced Topics in AI and ML |