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, Basics of Artificial Learning, English Communication Skills |
Semester 2 | Object-Oriented Programming, Data Structures, Principles of Machine Learning, Environmental Studies |
Semester 3 | Database Management Systems, Operating Systems, Statistical Methods for Machine Learning, Soft Skills |
Semester 4 | Algorithms for Artificial Learning, Computer Networks, Web Technologies, Minor Project |
Semester 5 | Deep Learning, Natural Language Processing, Elective I (Advanced Database Management Systems/Cloud Computing), Industrial Training |
Semester 6 | Machine Learning at Scale, Elective II (Internet of Things/Blockchain Technology), Major Project, Seminar |
Semester | Important Topics in AL-ML |
---|---|
Semester 1 | Introduction to Programming, Basics of Artificial Intelligence, Mathematical Foundations for Machine Learning |
Semester 2 | Data Structures and Algorithms, Probability and Statistics for Machine Learning, Python for Data Science |
Semester 3 | Machine Learning Fundamentals, Linear Algebra for Machine Learning, Database Management Systems |
Semester 4 | Deep Learning Basics, Natural Language Processing, Computer Vision |
Semester 5 | Advanced Machine Learning Models, Reinforcement Learning, Big Data Analytics |
Semester 6 | AI-ML Project, Ethics in AI, Emerging Trends in AI and ML |