Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by region and scholarship status | Full-time | Private |
Semester | Subjects |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication Skills |
Semester 2 | Data Structures and Algorithms, Database Management Systems, Principles of Machine Learning, Soft Skills |
Semester 3 | Operating Systems, Computer Networks, Advanced Machine Learning, Python for Data Science |
Semester 4 | Web Technologies, Deep Learning, Artificial Neural Networks, Elective I |
Semester 5 | Natural Language Processing, Computer Vision, Big Data Analytics, Elective II |
Semester 6 | Capstone Project, Industry Internship, Elective III, Elective IV |
Semester | Important Topics |
---|---|
Semester 1 | Introduction to Programming, Basics of Computer Systems, Mathematics for Computing |
Semester 2 | Data Structures, Object-Oriented Programming, Discrete Mathematics |
Semester 3 | Database Management Systems, Operating Systems, Linear Algebra for ML |
Semester 4 | Algorithms Analysis, Probability and Statistics for ML, Introduction to Artificial Intelligence |
Semester 5 | Machine Learning Fundamentals, Deep Learning Basics, Natural Language Processing |
Semester 6 | Advanced ML Models, Reinforcement Learning, ML Project Implementation |