Course Duration | 3 Years |
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Course Level | Undergraduate |
Course Tuition Fees | Varies by Year |
Mode of Study | Full Time |
Institute Type | Private |
Semester | Subject Code | Subject Name | Credits |
---|---|---|---|
1 | BCA101 | Introduction to Programming | 4 |
1 | BCA102 | Mathematics for Computing | 3 |
1 | BCA103 | Introduction to Artificial Intelligence | 4 |
2 | BCA201 | Data Structures | 4 |
2 | BCA202 | Database Management Systems | 3 |
2 | BCA203 | Principles of Machine Learning | 4 |
3 | BCA301 | Algorithms | 4 |
3 | BCA302 | Advanced Machine Learning | 4 |
3 | BCA303 | Deep Learning | 4 |
4 | BCA401 | Natural Language Processing | 3 |
4 | BCA402 | Big Data Analytics | 3 |
4 | BCA403 | Capstone Project | 6 |
Important Topics in BCA in Artificial Learning & Machine Learning (AL-ML) |
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Introduction to Artificial Intelligence |
Mathematics for Machine Learning |
Programming for Machine Learning |
Data Structures and Algorithms |
Probability and Statistics |
Machine Learning Algorithms |
Deep Learning |
Natural Language Processing |
Computer Vision |
Reinforcement Learning |
Big Data Analytics |
Cloud Computing for AI |
AI Ethics and Law |
Capstone Project |