Course Duration | 3 Years |
Course Level | Undergraduate |
Course Tuition Fees | Varies |
Mode of Study | Full Time |
Institute Type | Private |
Specialisation | Artificial Learning & Machine Learning (AL-ML) |
Semester | Subjects | Topics |
---|---|---|
1 | Introduction to Programming, Mathematics for Computing, English Communication, Computer Fundamentals and Office Automation, Principles of Management | Programming basics, Discrete Mathematics, Communication skills, MS Office, Management principles |
2 | Data Structures, Object-Oriented Programming, Financial Accounting, Digital Electronics, Environmental Studies | Arrays, Stacks, Queues, C++/Java basics, Accounting principles, Logic gates, Environmental issues |
3 | Database Management Systems, Operating Systems, Web Technologies, Business Mathematics, Organizational Behavior | SQL, UNIX/Linux, HTML/CSS/JavaScript, Calculus & Statistics, Management theories |
4 | Software Engineering, Computer Networks, Microprocessor and Assembly Language, Elective 1, Elective 2 | SDLC models, TCP/IP, 8085 Microprocessor, Elective topics, Elective topics |
5 | Internet Technologies, Project Management, Elective 3, Elective 4, Project Work (Part 1) | Web development frameworks, Agile methodologies, Elective topics, Elective topics, Initial project development |
6 | Information Security, Cloud Computing, Elective 5, Elective 6, Project Work (Part 2) | Cybersecurity fundamentals, Cloud services, Elective topics, Elective topics, Final project submission |
Module | Topics |
---|---|
Introduction to AI & ML | History of AI, Foundations, and State of the Art |
Programming for AI & ML | Python, R, TensorFlow, PyTorch |
Data Structures & Algorithms | For AI & ML Applications |
Mathematics for AI & ML | Linear Algebra, Calculus, Statistics, Probability |
Machine Learning | Supervised Learning, Unsupervised Learning, Reinforcement Learning |
Deep Learning | Neural Networks, CNNs, RNNs, GANs |
Natural Language Processing | Text Processing, Sentiment Analysis, Chatbots |
Computer Vision | Image Processing, Object Detection, Image Generation |
AI Ethics & Society | Ethical Implications, Bias, Fairness, Privacy |
Capstone Project | Real-world AI & ML Project |