Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies (Contact Institute) | Full Time | Private |
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 for Machine Learning, Deep Learning Fundamentals |
2 | 2 | Machine Learning Models, Natural Language Processing, Computer Vision |
3 | 1 | Reinforcement Learning, Big Data Analytics, Ethics in AI |
3 | 2 | Capstone Project, Electives (IoT, Robotics, Advanced Deep Learning, etc.), Industry Internship |
Semester | Important Topics |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Computer Science, Digital Fundamentals, English Communication |
Semester 2 | Data Structures, Object-Oriented Programming, Discrete Mathematics, Environmental Science |
Semester 3 | Database Management Systems, Operating Systems, Web Technologies, Soft Skills |
Semester 4 | Computer Networks, Theory of Computation, Python Programming, Introduction to Artificial Intelligence |
Semester 5 | Machine Learning, Deep Learning, Big Data Analytics, Artificial Neural Networks |
Semester 6 | Natural Language Processing, Computer Vision, Robotics, Project Work |