📅 2023-08-19 — Session: Developed LaTeX slides for greedy algorithms course
🕒 17:05–18:25
🏷️ Labels: Latex, Greedy Algorithms, Presentation, Education, Computer Science
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal: The primary goal of this session was to develop LaTeX slides for a course on greedy algorithms, focusing on both theoretical concepts and practical applications.
Key Activities:
- Created structured LaTeX code for slides covering the definition and principles of greedy algorithms.
- Developed slides on ‘Locally Optimal Choices’ and their implications in greedy strategies.
- Included examples and use cases such as activity selection, fractional knapsack, and Huffman coding.
- Discussed the applicability of greedy algorithms, including key properties like the greedy choice property and optimal substructure.
- Prepared slides on the limitations of greedy strategies in optimization problems, particularly those that are NP-complete.
- Compared greedy algorithms with dynamic programming and backtracking techniques.
Achievements:
- Successfully created a comprehensive set of LaTeX slides for teaching greedy algorithms, covering theoretical insights, practical examples, and limitations.
Pending Tasks:
- Further refinement of slides to include more detailed examples and exercises for advanced understanding.
- Plan and prepare additional materials for the upcoming class session.