Feature | Details |
---|---|
Course Duration | 3 Years |
Course Level | Undergraduate |
Course Tuition Fees | Varies (Please contact the institute) |
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 | Data Structures and Algorithms, Database Management Systems, Object-Oriented Programming, Principles of Machine Learning |
Semester 3 | Advanced Mathematics, Operating Systems, Web Technologies, Deep Learning Fundamentals |
Semester 4 | Computer Networks, Software Engineering, Machine Learning Models, Elective I (e.g., Natural Language Processing) |
Semester 5 | Cloud Computing, Big Data Analytics, Advanced Machine Learning, Elective II (e.g., Robotics) |
Semester 6 | Project Work, Industry Internship, Elective III (e.g., Computer Vision), Elective IV (e.g., IoT Fundamentals) |
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 |