📅 2024-05-05 — Session: Enhanced Algorithm Curriculum with New Exercises
🕒 13:10–16:45
🏷️ Labels: Algorithms, Education, Curriculum Development, Exercise Creation
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal: The session aimed to enhance the existing algorithm curriculum by identifying gaps and introducing new exercises to provide a comprehensive learning experience.
Key Activities:
- Thematic grouping of algorithm exercises into categories such as Backtracking, Dynamic Programming, Graph Traversal, and Divide and Conquer.
- Development of multiple-choice exercises focusing on Greedy and String Algorithms.
- Creation of exam questions and exercises for Graph Theory and Algorithm Design, including DFS and BFS techniques.
- Design of exam structures to evaluate algorithmic techniques through multiple-choice and true/false questions.
- Introduction of exercises focusing on pseudocode analysis and completion for algorithms like DFS, BFS, Dijkstra, and Kruskal.
Achievements:
- Successfully organized and categorized algorithm exercises to address curriculum blind spots.
- Developed comprehensive exam questions and exercises to assess students’ understanding of key algorithmic concepts.
Pending Tasks:
- Further refinement of the curriculum and exercises to ensure alignment with educational goals.
- Implementation of the new exercises into the teaching plan for the upcoming semester.