Feature | Detail |
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Course Duration | 3 Years |
Course Level | Undergraduate |
Course Tuition Fees | Varies |
Mode of Study | Full-time |
Institute Type | Private |
Semester | Subjects |
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Semester 1 | Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English for Communication, Computer Fundamentals and Office Automation |
Semester 2 | Data Structures, Discrete Mathematics, Operating Systems, Principles of Management, Python Programming |
Semester 3 | Database Management Systems, Object-Oriented Programming with Java, Web Technologies, Linear Algebra for ML, Statistics for ML |
Semester 4 | Machine Learning Fundamentals, Algorithms for ML, Deep Learning Basics, Artificial Neural Networks, Elective I (IoT/Blockchain Technology) |
Semester 5 | Natural Language Processing, Computer Vision, Big Data Analytics, Elective II (Robotics/Quantum Computing), Project Work I |
Semester 6 | Advanced ML Models, Reinforcement Learning, Ethical AI and ML, Elective III (Cybersecurity/Data Science), Project Work II |
Important Topics in BCA in Artificial Learning & Machine Learning (AL-ML) |
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Introduction to Programming |
Mathematics for Computer Science |
Introduction to Artificial Intelligence |
Machine Learning Fundamentals |
Deep Learning Concepts |
Data Structures and Algorithms |
Statistical Methods for Machine Learning |
Natural Language Processing |
Computer Vision |
Reinforcement Learning |
Neural Networks |
Big Data Analytics |
Cloud Computing for AI |
AI Ethics and Law |
Capstone Project in AI/ML |