📅 2023-08-02 — Session: Developed educational sessions on algorithm techniques
🕒 17:50–18:30
🏷️ Labels: Dynamic Programming, Greedy Algorithms, Education, Algorithm Exercises
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal: The session aimed to develop comprehensive educational materials and plans for teaching algorithm techniques, focusing on dynamic programming, backtracking, and greedy algorithms.
Key Activities:
- Formulated a recursive problem-solving framework for matrix selection.
- Provided an overview of algorithm exercises, including dynamic programming, backtracking, and greedy algorithms.
- Summarized key concepts and practical applications of algorithm techniques.
- Mapped exercises to algorithm concepts to enhance learning experiences.
- Planned detailed educational sessions, including exercises and discussions, for dynamic programming and greedy algorithms.
- Developed specific exercises such as ‘Terreno’, ‘Cajas’, ‘Vector de Números’, and ‘Parejas de Baile’.
- Compared greedy algorithms with dynamic programming and backtracking.
Achievements:
- Created structured plans for multiple educational sessions on algorithm techniques.
- Developed a variety of exercises to reinforce learning.
Pending Tasks:
- Implement the planned educational sessions and gather feedback for further improvement.