| Course Duration | 3 Years |
|---|---|
| Course Level | Undergraduate |
| Course Tuition Fees | Varies (Please check the institute's website) |
| Mode of Study | Full Time |
| Institute Type | Private |
| Semester | Subjects/Topics |
|---|---|
| Semester 1 | Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English Communication, Computer Fundamentals and Office Automation |
| Semester 2 | Data Structures, Object-Oriented Programming, Digital Electronics, Database Management Systems, Environmental Studies |
| Semester 3 | Operating Systems, Web Technologies, Advanced Database Management Systems, Discrete Mathematics, Introduction to Machine Learning |
| Semester 4 | Computer Networks, Software Engineering, Algorithms, Statistical Methods for Machine Learning, Deep Learning Fundamentals |
| Semester 5 | Natural Language Processing, Computer Vision, Big Data Analytics, Elective 1 (e.g., Robotics, IoT, etc.), Project Work I |
| Semester 6 | Reinforcement Learning, Advanced Machine Learning Techniques, Elective 2 (e.g., Cloud Computing, Cyber Security, etc.), Project Work II, Industrial Training |
| Important Topics in AL-ML for BCA at Sunder Deep Group of Institutions |
|---|
| Introduction to Artificial Intelligence and Machine Learning |
| Python Programming for AI & ML |
| Data Structures and Algorithms for Machine Learning |
| Mathematics for Machine Learning |
| Statistics and Probability in Machine Learning |
| Data Preprocessing and Analysis |
| Supervised Learning Techniques |
| Unsupervised Learning Techniques |
| Deep Learning and Neural Networks |
| Natural Language Processing (NLP) |
| Computer Vision and Image Processing |
| Reinforcement Learning |
| Machine Learning Project Lifecycle |
| Emerging Trends in AI and Machine Learning |
