Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
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3 Years | Undergraduate | Varies by nationality and other factors | Full-time | Deemed to be University |
Semester | Core Subjects | Electives/Practicals |
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Semester 1 | Introduction to Programming, Mathematics for Computer Science, Fundamentals of Computer Systems | Programming Lab, English for Communication |
Semester 2 | Data Structures, Digital Principles and Systems Design, Object-Oriented Programming | Data Structures Lab, Object-Oriented Programming Lab |
Semester 3 | Database Management Systems, Operating Systems, Discrete Mathematics | Database Management Systems Lab, Operating Systems Lab |
Semester 4 | Software Engineering, Computer Networks, Introduction to Artificial Intelligence | Software Engineering Lab, Computer Networks Lab |
Semester 5 | Machine Learning, Deep Learning Fundamentals, Data Mining | Machine Learning Lab, Project Work - I |
Semester 6 | Advanced Machine Learning, Natural Language Processing, Elective (AI/ML related) | Advanced Machine Learning Lab, Project Work - II |
Important Topics in AL-ML for BCA at Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya |
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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 Visualization |
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 |
Ethics and Future of Artificial Intelligence |