Discover the detailed curriculum for AI and ML at PES University. Our comprehensive syllabus covers the latest advancements and foundational concepts to equip you with the skills needed for a successful career in artificial intelligence and machine learning.
| Sl. No. | Course Title |
|---|---|
| 1 | Python for Computational Problem Solving |
| Sl. No. | Course Title |
|---|---|
| 1 | Problem Solving with C |
| Sl. No. | Course Title |
|---|---|
| 1 | Digital Design and Computer Organization |
| 2 | Data Structures and its Applications |
| 3 | Mathematics for Computer Science and Engineering |
| 4 | Web Technologies |
| 5 | Automata Formal Languages and Logic |
| 6 | CIEL1 |
| 7 | Bridge Course Mathematics–I (Applicable for The Lateral Entry Students) |
| Sl. No. | Course Title |
|---|---|
| 1 | Microprocessor and Computer Architecture |
| 2 | Computer Networks |
| 3 | Design and Analysis of Algorithms |
| 4 | Operating Systems |
| 5 | Linear Algebra and its Applications |
| 6 | CIEL2 |
| 7 | Bridge Course Mathematics–II (Applicable to Lateral Entry Students) |
| Sl. No. | Course Title |
|---|---|
| 1 | Advanced Foundations for ML |
| 2 | Active Learning |
| 3 | Social Computing |
| 4 | AI for Smart Manufacturing |
| 5 | AI for Medical Imaging |
| 6 | Internet of Things |
| 7 | Applied Cryptography |
| 8 | Virtual and Augmented Reality |
| 9 | Topics in Wireless Networks and 5G |
| Sl. No. | Course Title |
|---|---|
| 1 | Advanced Data Analytics |
| 2 | Privacy Preserving Machine Learning |
| 3 | Optimizations and Metaheuristics |
| 4 | Supply Chain Optimization using AI |
| 5 | Machine Learning with Business Data |
| 6 | Advanced Computer Networks |
| 7 | Computer Network Security |
| 8 | ROS for Autonomous System |
| Sl. No. | Course Title |
|---|---|
| 1 | Python for Computational Problem Solving |
| Sl. No. | Course Title |
|---|---|
| 1 | Problem Solving with C |
| Sl. No. | Course Title |
|---|---|
| 1 | Digital Design and Computer Organization |
| 2 | Data Structures and its Applications |
| 3 | Mathematics for Computer Science Engineers |
| 4 | Web Technologies |
| 5 | Automata Formal Languages and Logic |
| 6 | Bridge Course Mathematics –I (Applicable for the Lateral Entry Students) |
| Sl. No. | Course Title |
|---|---|
| 1 | Microprocessor and Computer Architecture |
| 2 | Computer Networks |
| 3 | Design and Analysis of Algorithms |
| 4 | Operating Systems |
| 5 | Vector Spaces and Linear Algebra |
| 6 | Bridge Course Mathematics – II (Applicable to Lateral Entry Students) |
| Sl. No. | Course Title |
|---|---|
| 1 | Python for Computational Problem Solving |
| Sl. No. | Course Title |
|---|---|
| 1 | Problem Solving with C |
| Sl. No. | Course Title |
|---|---|
| 1 | SoC Design and Computer Architecture |
| 2 | Data Structures and its Applications |
| 3 | Statistics for Data Science |
| 4 | Web Technologies |
| 5 | Automata Formal Languages and Logic |
| 6 | Bridge Course Mathematics – I (Applicable for the Lateral Entry Students) |
| Sl. No. | Course Title |
|---|---|
| 1 | Big Data |
| 2 | Computer Networks |
| 3 | Design and Analysis of Algorithms |
| 4 | Operating Systems |
| 5 | Mathematics for Machine Learning |
| 6 | Bridge Course Mathematics – II (Applicable to Lateral Entry Students) |
