Course Duration | Course Level | Course Tuition Fees | Mode of Study | Institute Type |
---|---|---|---|---|
3 Years | Undergraduate | Varies by region and scholarship status | Full-time | Private |
Semester | Subjects |
---|---|
Semester 1 | Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence, English for Communication, Environmental Studies |
Semester 2 | Data Structures and Algorithms, Object-Oriented Programming, Database Management Systems, Principles of Machine Learning, Soft Skills Development |
Semester 3 | Operating Systems, Computer Networks, Advanced Data Structures, Statistical Methods for Machine Learning, Python for Data Science |
Semester 4 | Web Technologies, Advanced Database Management Systems, Deep Learning, Natural Language Processing, Minor Project |
Semester 5 | Cloud Computing, Big Data Analytics, Robotics and Automation, Elective 1 (AI/ML Specialization), Internship |
Semester 6 | IoT and Applications, Elective 2 (AI/ML Specialization), Major Project, Seminar on Emerging Technologies, Comprehensive Viva |
Artificial Intelligence (AI) | Machine Learning (ML) |
---|---|
Introduction to AI | Supervised Learning |
Search Strategies | Unsupervised Learning |
Knowledge Representation | Deep Learning |
Natural Language Processing (NLP) | Neural Networks |
Robotics | Decision Trees |
Expert Systems | Reinforcement Learning |
Machine Learning Algorithms | Feature Engineering |
Computer Vision | Model Evaluation and Fine-Tuning |