Feature | Detail |
---|---|
Course Duration | 3 Years |
Course Level | Undergraduate |
Course Tuition Fees | Varies |
Mode of Study | Full Time |
Institute Type | Private |
Year | BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus Highlights |
---|---|
Year 1 | Introduction to Programming, Mathematics for Computing, Basics of Artificial Intelligence, Fundamentals of Computer Systems, and Web Technologies. |
Year 2 | Data Structures and Algorithms, Database Management Systems, Object-Oriented Programming, Operating Systems, and Introduction to Machine Learning. |
Year 3 | Advanced Machine Learning, Deep Learning, Natural Language Processing, AI & ML Project, and Electives in specialized areas of AI & ML. |
Artificial Learning (AL) Topics | Machine Learning (ML) Topics |
---|---|
Introduction to Artificial Intelligence | Supervised Learning Techniques |
Logic and Planning | Unsupervised Learning Techniques |
Knowledge Representation | Neural Networks and Deep Learning |
Expert Systems | Decision Trees and Random Forests |
Natural Language Processing | Support Vector Machines |
Robotics and Perception | Ensemble Learning |
Search Algorithms | Model Evaluation and Fine-Tuning |