| Semester I | ||
|---|---|---|
| Course ID | Course Name | Credits |
| MA1110 | Calculus I | 1 |
| MA1220 | Calculus II | 1 |
| MA1230 | Series of Functions | 1 |
| AI 1001 | Introduction to Modern AI | 1 |
| AI 1002 | Introduction to Drones | 1 |
| CS 1310 | Discrete Structures I | 2 |
| ID 1054 | Digital Fabrication | 2 |
| ID 1035 | Independent Project | 1 |
| ID 1303 | Introduction to Programming | 2 |
| PH/CY | Science Elective | 2 |
| LA/CA | Elective | 1 |
| Total | 15 | |
| Semester II | ||
|---|---|---|
| Course ID | Course Name | Credits |
| MA1130 | Vector Calculus | 1 |
| AI1101 | Linear Algebra | 3 |
| AI1102 | Probability and Random Variables | 2 |
| MA1150 | Differential Equations | 1 |
| CS1340 | Discrete Structures II | 2 |
| CS1353 | Introduction to Data Structures | 3 |
| ID1370 | Digital Signal Processing | 1 |
| MA2140 | Statistics | 1 |
| EE1210 | Basic Control Theory | 1 |
| AI1150 | IDP | 1 |
| Total | 16 | |
| Semester III | ||
|---|---|---|
| Course ID | Course Name | Credits |
| MA2120 | Transforms | 1 |
| AI2001 | Basics of Machine Learning | 3 |
| AI2002 | Artificial Intelligence | 2 |
| MAxxx | Statistical Inference | 2 |
| CS2400 | Principles of Programming Languages I | 1 |
| CS3510 | OS I | 1 |
| CS3550 | DBMS I | 1 |
| CS2323 | Computer Architecture | 2 |
| AI2003 | Stochastic Processes | 1 |
| AI2004 | Convex Optimization | 2 |
| AI2050 | IDP | 1 |
| Total | 17 | |
| Semester IV | ||
|---|---|---|
| Course ID | Course Name | Credits |
| CS2443 | Algorithms | 3 |
| CS2420 | Intro to Complexity Theory | 1 |
| CS3523 | OS II | 3 |
| EE2340 | Information Sciences | 1 |
| CS3563 | DBMS II | 3 |
| AI2101 | Deep Learning | 3 |
| AI2102 | Reinforcement Learning | 2 |
| AI2150 | IDP | 1 |
| Total | 17 | |
| Semester V | ||
|---|---|---|
| Course ID | Course Name | Credits |
| AI3001 | Robotics | 2 |
| AI3002 | Introduction to Brain and Neuroscience | 1 |
| AI**** | AI Electives (baskets below) | 4 |
| AI3003 | Principles of Industry 4.0 | 1 |
| AI3004 | IoT | 1 |
| CS3530 | Computer Networks I | 1 |
| LA1500 | What is AI & Humanity | 1 |
| PH/CY | Science Elective | 1 |
| FE | Free Electives | 2 |
| LA/CA | Elective | 1 |
| AI3050 | IDP | 1 |
| Total | 16 | |
| Semester VI | ||
|---|---|---|
| Course ID | Course Name | Credits |
| AI3101 | Data Visualization | 1 |
| AI3102 | Sequence Models | 1 |
| AI3103 | Bayesian Data Analysis | 2 |
| AI**** | AI Electives (baskets below) | 4 |
| CS3543 | Computer Networks II | 3 |
| AI3150 | IDP | 1 |
| FE | Free Electives | 2 |
| LA/CA | Elective | 1 |
| Total | 15 | |
| Semester VII | ||
|---|---|---|
| Course ID | Course Name | Credits |
| AI**** | AI Electives (baskets below) | 8 |
| PH/CY | Science Elective | 1 |
| FE | Free Electives | 3 |
| LA/CA | Electives | 3 |
| Total | 15 | |
| Semester VIII | ||
|---|---|---|
| Course ID | Course Name | Credits |
| AI**** | AI Electives (baskets below) | 8 |
| PH/CY | Science Elective | 1 |
| FE | Free Electives | 3 |
| LA/CA | Ethics & Values | 3 |
| Total | 15 | |
| Summary | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Course Type | Sem I | Sem II | Sem III | Sem IV | Sem V | Sem VI | Sem VII | Sem VIII | Total |
| AI Core | 4 | 4 | 10 | 6 | 5 | 5 | 0 | 0 | 34 |
| AI Elective | 0 | 0 | 0 | 0 | 4 | 4 | 8 | 8 | 24 |
| CS | 2 | 5 | 5 | 10 | 1 | 3 | 0 | 0 | 26 |
| EE | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
| LA/CA | 1 | 0 | 0 | 0 | 2 | 1 | 3 | 3 | 10 |
| FE | 0 | 0 | 0 | 0 | 2 | 2 | 3 | 3 | 10 |
| Science | 5 | 3 | 3 | 0 | 1 | 0 | 1 | 1 | 14 |
| ID | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
| Total | 15 | 16 | 17 | 17 | 16 | 15 | 15 | 15 | 126 |
| Human Computer Interaction (At least 1 from the following) |
|---|
| Computer Vision |
| Natural Language Processing |
| Speech Systems |
| Smart Industry (At least 2 from the following) |
|---|
| Computer Integrated Manufacturing |
| Robot Kinematics and Dynamics |
| Machine Diagnostics and Condition Monitoring |
| Mathematical Elements of Geometrical Modeling |
| Big Data Analysis (At least 2 from the following) |
|---|
| Predictive Analysis |
| Information Retrieval and Web Search |
| Bayesian Data Analysis |
| Numerical linear algebra for data analysis |
| Applied Time-Series Analysis |
| Graph Analytics for Big Data |
| Distributed Systems |
| Cloud Computing |
| Machine Learning with Big Data |
| Blockchain and Cyber Security (At least 1 from the following) |
|---|
| Principles of Cyber Security |
| Computer Forensics |
| Bitcoins and Cryptocurrencies |
| Cryptography |
| Randomized Algorithms |
| BioTech (At least 1 from the following) |
|---|
| Bioinformatics |
| Gene Editing |
| Applications of AI in Healthcare |
