Attribute | Details |
---|---|
Course Duration | 3 Years |
Course Level | Undergraduate |
Course Tuition Fees | Varies |
Mode of Study | Full-time |
Institute Type | Private |
Semester | Subjects |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication Skills |
Semester 2 | Object-Oriented Programming, Data Structures, Principles of Machine Learning, Environmental Studies |
Semester 3 | Database Management Systems, Operating Systems, Statistics for Machine Learning, Python for Data Science |
Semester 4 | Algorithms for Machine Learning, Deep Learning Fundamentals, Web Technologies, Minor Project |
Semester 5 | Advanced Machine Learning, Natural Language Processing, Big Data Analytics, Elective I |
Semester 6 | Reinforcement Learning, Computer Vision, Elective II, Major Project |
Semester | Important Topics |
---|---|
Semester 1 | Introduction to Programming, Basics of Artificial Intelligence, Mathematics for Computer Science |
Semester 2 | Object-Oriented Programming, Data Structures, Fundamentals of Machine Learning |
Semester 3 | Advanced Data Structures, Database Management Systems, Probability and Statistics for AI |
Semester 4 | Algorithms for AI and ML, Web Technologies, Linear Algebra for Machine Learning |
Semester 5 | Deep Learning, Natural Language Processing, Computer Vision |
Semester 6 | Advanced Machine Learning Models, AI and ML Project, Ethics in AI |