Semester-wise Syllabi & Course Structure
COE Academic PortalThe curricula and semester syllabi for the Department of Artificial Intelligence & Machine Learning are formulated under autonomous academic regulations following Choice Based Credit System (CBCS) and Outcome-Based Education (OBE) guidelines set by UGC and Bharathidasan University.
Programme: B.Sc Artificial Intelligence & Machine Learning
| S.No | Semester | Course Code | Course / Subject Title | Category | Credits |
|---|---|---|---|---|---|
| 1 | Semester I | AIM101 | Foundations of Artificial Intelligence & Search | Core Course | 4 |
| 2 | Semester I | AIM102 | Python Programming for Scientific Computing | Core Course | 4 |
| 3 | Semester I | LAB101 | Python for AI Laboratory | Practical Lab | 2 |
| 4 | Semester II | AIM201 | Linear Algebra & Probability for Machine Learning | Core Course | 4 |
| 5 | Semester II | AIM202 | Data Structures & Algorithmic Problem Solving | Core Course | 4 |
| 6 | Semester II | LAB201 | Data Structures Lab in Python | Practical Lab | 2 |
| 7 | Semester III | AIM301 | Supervised & Unsupervised Machine Learning | Core Course | 5 |
| 8 | Semester III | AIM302 | Relational & NoSQL Database Systems for Big Data | Core Course | 4 |
| 9 | Semester III | LAB301 | Machine Learning Lab (Scikit-Learn/Pandas) | Practical Lab | 2 |
| 10 | Semester IV | AIM401 | Deep Learning Architectures (CNN, RNN, LSTM) | Core Course | 5 |
| 11 | Semester IV | AIM402 | Computer Vision & Digital Image Analytics | Core Course | 4 |
| 12 | Semester IV | LAB401 | Deep Learning & OpenCV Lab (PyTorch/TensorFlow) | Practical Lab | 2 |
| 13 | Semester V | AIM501 | Natural Language Processing & Transformers | Core Course | 5 |
| 14 | Semester V | AIM502 | Reinforcement Learning & Autonomous Agents | Core Course | 4 |
| 15 | Semester V | LAB501 | NLP & Large Language Models Lab | Practical Lab | 2 |
| 16 | Semester VI | AIM601 | Generative AI, Prompt Engineering & LLM Apps | Core Course | 5 |
| 17 | Semester VI | AIM602 | MLOps, Model Deployment & Responsible AI | Core Course | 4 |
| 18 | Semester VI | PRJ601 | Capstone AI Industry Project & Demonstration | Project Work | 4 |
Continuous Internal Assessment (CIA) carries 25% weightage and End Semester Autonomous Examinations (ESE) carry 75% weightage. Detailed syllabi units, reference books, and lab manuals are hosted on the Controller of Examinations (COE) portal.