Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by region and scholarships | Full-time/Part-time | Private |
Semester | Subjects |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Computer Science, Digital Fundamentals, Introduction to Artificial Learning & Machine Learning, English Communication |
Semester 2 | Data Structures, Object-Oriented Programming, Computer Organization and Architecture, Probability & Statistics, Environmental Studies |
Semester 3 | Database Management Systems, Operating Systems, Discrete Mathematics, Python Programming, AL & ML Fundamentals |
Semester 4 | Algorithms, Web Technologies, Linear Algebra, Machine Learning Techniques, Minor Project |
Semester 5 | Deep Learning, Big Data Analytics, Elective 1, Elective 2, Internship |
Semester 6 | Artificial Intelligence, Natural Language Processing, Elective 3, Major Project, Seminar |
Core Topics | Related Technologies/Tools |
---|---|
Introduction to Programming | Python, Java |
Data Structures and Algorithms | Python, C++ |
Mathematics for Machine Learning | Linear Algebra, Calculus, Statistics |
Machine Learning Fundamentals | Scikit-learn, TensorFlow, PyTorch |
Deep Learning | TensorFlow, Keras, PyTorch |
Natural Language Processing | NLTK, SpaCy |
Computer Vision | OpenCV, TensorFlow, PyTorch |
Reinforcement Learning | OpenAI Gym, TensorFlow, PyTorch |
Big Data Analytics | Hadoop, Spark |
AI Ethics and Law | Case Studies, GDPR |