Topic |
Session 1 | Guidance and orientation |
Session 2 | Lecture on the basics of graphs |
Session 3 | Exercises on the basics of graphs |
Session 4 | Graph exploration exercises |
Session 5 | Pseudocode creation of graph data structure |
Session 6 | Python's basics and preparation |
Session 7 | Preparing to implement the program |
Session 8 | Program implementation |
Session 9 | Formulation of problem solving using graphs |
Session 10 | Dynamic programming pseudocode creation |
Session 11 | Dynamic programming programming |
Session 12 | Program implementation and execution |
Session 13 | Program performance experiment |
Session 14 | Overall result presentation |
**This content is based on April 1, 2024. For the latest syllabus information and details, please check the