B.Tech Curriculum
| SEMESTER | COURSE CODE | NAME OF THE COURSE | CREDITS |
|---|---|---|---|
| 1 | MA1110 | Calculus – I | 1 |
| 1 | MA1220 | Calculus – II | 1 |
| 1 | EP1108 | Modern Physics | 2 |
| 1 | ID1063 | Programming | 3 |
| 1 | EE1030 | Matrix Theory | 3 |
| 1 | CS1010 | Discrete Maths for Computer Science | 3 |
| 1 | AI1001 | Intro to Modern AI | 1 |
| 1 | LA1760 | Communication Skills | 2 |
| 2 | MA1130 | Vector Calculus | 1 |
| 2 | MA1150 | Differential Equations | 1 |
| 2 | MA1230 | Series of Functions | 1 |
| 2 | AI1010 | Intro to classical AI | 1 |
| 2 | AI1110 | Probability and Random Variables | 3 |
| 2 | EM3020 | Intro to Entrepreneurship | 1 |
| 2 | AI1233 | Optimization-I | 3 |
| 2 | AI1013 | Programming for AI | 2 |
| 2 | LA/CA Elective | 2 | |
| 3 | ID2230 | Data Structures & Applications | 3 |
| 3 | MA2150 | Introduction to Metric Spaces | 1 |
| 3 | MA3060 | Numerical Analysis | 3 |
| 3 | AI2000 | Foundations of ML | 3 |
| 3 | CS3550 | DBMS – I | 1 |
| 3 | EE1206 | Linear Systems and Signal processing | 3 |
| 3 | AI2200 | Concentration Inequalities | 1 |
| 3 | CY 1017 | Environmental Chemistry | 2 |
| 4 | CS2443 | Algorithms | 3 |
| 4 | AI2100 | Deep Learning | 3 |
| 4 | EE2101 | Control Systems | 3 |
| 4 | AI2113 | Optimization 2 | 3 |
| 4 | LA/CA Electives | 1 | |
| 4 | CS2030 | Theory of Computation | 3 |
| 5 | AI3000 | Reinforcement Learning | 3 |
| 5 | AI4000 | Robotics | 3 |
| 5 | AI3005 | AI Project | 3 |
| 5 | LA/CA Electives | 1 | |
| 5 | AI3013 | AI for Humanity | 3 |
| 5 | XX xxxx | Free Electives | 3 |
| 6 | XX xxxx | Free Electives | 3 |
| 6 | AI3703 | Natural Language Processing | 3 |
| 6 | AI3603 | Computer Vision | 3 |
| 6 | MA2570 | Applied Statistics | 3 |
| 6 | LA/CA Elective | 1 | |
| 6 | AI Electives | 3 | |
| 7 | AI Electives (see baskets) | 9 | |
| 7 | Internship (6 credits can be Credited from internship) |
||
| 7 | LA/CA Elective | 1 | |
| 7 | Free Electives | 6 | |
| 8 | AI Electives (see baskets) | 15 | |
| 8 | LAxxxx | Ethics and Values | 1 |
| COURSE CODE | NAME OF THE COURSE | ELECTIVE BASKET |
|---|---|---|
| EE5604 | Intro to Statistical Learning theory | Core AI and ML (At least 6 credits from the list) |
| EE5605 | Kernel Methods for ML | Core AI and ML (At least 6 credits from the list) |
| AI3102 | Sequence models | Core AI and ML (At least 6 credits from the list) |
| CS5350 | Bayesian Data Analysis | Core AI and ML (At least 6 credits from the list) |
| EE5470 | Nonlinear Control Techniques | Core AI and ML (At least 6 credits from the list) |
| EE5903 | Information Theory, Coding and Inference | Core AI and ML (At least 6 credits from the list) |
| AI5040 | Game Theory and Mechanism Design | Core AI and ML (At least 6 credits from the list) |
| EE5328 | Introduction to Submodular Functions | Core AI and ML (At least 6 credits from the list) |
| AI5120 | Explainability in ML | Core AI and ML (At least 6 credits from the list) |
| CS5470 | Theory of Learning and Kernel Methods | Core AI and ML (At least 6 credits from the list) |
| CS5120 | Probability in Computing | Core AI and ML (At least 6 credits from the list) |
| CS6360 | Advanced topics in Maching Learning | Core AI and ML (At least 6 credits from the list) |
| CS6370 | Information Retrieval | Speech, Vision and Language Technologies (At least 3 credits from the list) |
| CS5700 | Text processing and Retrieval | Speech, Vision and Language Technologies (At least 3 credits from the list) |
| EE6307 | Speech Systems | Speech, Vision and Language Technologies (At least 3 credits from the list) |
| EE6310 | Image and Video Processing | Speech, Vision and Language Technologies (At least 3 credits from the list) |
| CS6870 | Surveillance Video Analytics | Speech, Vision and Language Technologies (At least 3 credits from the list) |
| HT5083 | Text-to-Speech Systems for Indian Languages | Speech, Vision and Language Technologies (At least 3 credits from the list) |
| CS6803 | Topics in Natural Language Processing | Speech, Vision and Language Technologies (At least 3 credits from the list) |
| MA4143 | Introduction to Time Series Analysis | Speech, Vision and Language Technologies (At least 3 credits from the list) |
| CS6140 | Video Content Analysis | Speech, Vision and Language Technologies (At least 3 credits from the list) |
| CS6890 | Fraud Analytics Using Predictive and Social Network Techniques | Elective Basket: Data Analytics (At least 3 credits from the list) |
| CS5600 | Data Mining | Elective Basket: Data Analytics (At least 3 credits from the list) |
| MA4143 | Time Series Analysis | Elective Basket: Data Analytics (At least 3 credits from the list) |
| CS6460 | Visual Big Data Analytics | Elective Basket: Data Analytics (At least 3 credits from the list) |
| CS5320 | Distributed Computing | Elective Basket: Data Analytics (At least 3 credits from the list) |
| CS6713 | Scalable algorithms for data analysis | Elective Basket: Data Analytics (At least 3 credits from the list) |
| MA4043 | Algebro-Geometric Methods in Data Analysis: Theory, Applications and Algorithms | Elective Basket: Data Analytics (At least 3 credits from the list) |
| CS6070 | Tensor: Techniques, Algorithms and Applications | Elective Basket: Data Analytics (At least 3 credits from the list) |
| CS3563 | Introduction to DBMS II | Elective Basket: Data Analytics (At least 3 credits from the list) |
| AI5153 | Mobile Robotics | Elective Basket: Other Applications of AI (At least 3 credits from the list) |
| BM5020 | Artificial Intelligence in Biomedicine and Healthcare | Elective Basket: Other Applications of AI (At least 3 credits from the list) |
| BT3203 | Machine learning for Bioinformatics | Elective Basket: Other Applications of AI (At least 3 credits from the list) |
| BM5033 | Statistical Inference Methods in Bioengineering | Elective Basket: Other Applications of AI (At least 3 credits from the list) |
| SM5010 | Autonomous Navigation | Elective Basket: Other Applications of AI (At least 3 credits from the list) |
| BM6140 | Theoretical and Computational Neuroscience | Elective Basket: Other Applications of AI (At least 3 credits from the list) |
| AI5163 | Cybersecurity and AI | Elective Basket: Other Applications of AI (At least 3 credits from the list) |
| COURSE CODE | NAME OF THE COURSE |
|---|---|
| AI2000 (or) AI5000 (or) CS5590 (or) CS3390 (or) EE2802 | Foundations of Machine Learning |
| AI2100 (or) AI5100 | Deep Learning |
| AI3001 | Advanced topics in ML |
| Elective List (Minor in AI) | Electives |
| COURSE CODE | NAME OF THE COURSE |
|---|---|
| EE5604 | Intro to Statistical Learning theory |
| EE5605 | Kernel Methods for ML |
| AI3102 | Sequence models |
| CS5350 | Bayesian Data Analysis |
| EE5470 | Nonlinear Control Techniques |
| EE5903 | Information Theory, Coding and Inference |
| AI5040 | Game Theory and Mechanism Design |
| EE5328 | Introduction to Submodular Functions |
| AI5120 | Explainability in ML |
| CS5470 | Theory of Learning and Kernel Methods |
| CS5120 | Probability in Computing |
| CS6360 | Advanced topics in Maching Learning |
| AI5153 | Mobile Robotics |
| BM5020 | Artificial Intelligence in Biomedicine and Healthcare |
| BT3203 | Machine learning for Bioinformatics |
| BM5033 | Statistical Inference Methods in Bioengineering |
| SM5010 | Autonomous Navigation |
| BM6140 | Theoretical and Computational Neuroscience |
| CS6370 | Information Retrieval |
| CS5700 | Text processing and Retrieval |
| EE6307 | Speech Systems |
| EE6310 | Image and Video Processing |
| CS6870 | Survaillance Video Analytics |
| HT5083 | Text-to-Speech Systems for Indian Languages |
| CS6803 | Topics in Natural Language Processing |
| MA4143 | Introduction to Time Series Analysis |
| CS6140 | Video Content Analysis |
| CS6890 | Fraud Analytics Using Predictive and Social Network Techniques |
| CS5600 | Data Mining |
| MA4143 | Time Series Analysis |
| CS6460 | Visual Big Data Analytics |
| CS5320 | Distributed Computing |
| CS6713 | Scalable algorithms for data analysis |
| MA4043 | Algebro-Geometric Methods in Data Analysis: Theory, Applications and Algorithms |
| CS6070 | TensTensors: Techniques, Algorithms and Applications |
| CS3563 | Introduction to DBMS II |
| AI5163 | Cybersecurity and AI |