TEQIP III National Short Term Course on
"Computer Aided Applied Numerical Analysis and Optimization Techniques"
(January 17 - 21, 2020)
"Computer Aided Applied Numerical Analysis and Optimization Techniques"
(January 17 - 21, 2020)
Lecture Schedule
Day 1: Schedule
| Lecture 1: | 9.00 AM to 10.30 AM | Solution of Linear and Non-linear Equations |
| Lecture 2: | 10.45 AM to 12.15 PM | Solution of Ordinary Differential Equations |
| Lecture 3: | 12.30 PM to 2.00 PM | Numerical Differentiation and Integration |
| 2.30 PM to 5.30 PM | Hands-On session for topics covered in the forenoon session |
Day 2: Schedule
| Lecture 1 | 9.00 AM to 10.30 AM | Linear and Non-linear Regression |
| Lecture 2 | 10.45 AM to 12.15 PM | Splines and Polynomial fitting |
| Lecture 3 | 12.30 PM to 2.00 PM | Introduction to Optimization |
| 2.30 PM to 5.30 PM | Hands-On session for topics covered in the forenoon session |
Day 3: Schedule
| Lecture 1 | 9.00 AM to 10.30 AM | Sanitized Teaching Learning Based Optimization |
| Lecture 2 | 10.45 AM to 12.15 PM | Genetic Algorithm |
| Lecture 3 | 12.30 PM to 2.00 PM | Particle Swarm Optimization and Differential Evolution |
| 2.30 PM to 5.30 PM | Hands-On session for topics covered in the forenoon session |
Day 4: Schedule
| Lecture 1 | 9.00 AM to 10.30 AM | Case Study 1: Production Planning |
| Lecture 2 | 10.45 AM to 12.15 PM | Case Study 2: Job Shop Scheduling |
| Lecture 3 | 12.30 PM to 2.00 PM | Benchmarking of Algorithms |
| 2.30 PM to 5.30 PM | Hands-On session for topics covered in the forenoon session |
Day 5: Schedule
| Lecture 1 | 9.00 AM to 10.30 AM | Introduction to Multi-Objective Optimization |
| Lecture 2 | 10.45 AM to 12.15 PM | Non-Dominated Sorting and Crowding Distance |
| Lecture 3 | 12.30 PM to 2.00 PM | Pedagogy Session |
| 2.30 PM to 5.30 PM | Hands-on Session on Multi-Objective Optimziation |