📅 2023-08-19 — Session: Developed LaTeX slides for Greedy Algorithms course
🕒 17:05–18:25
🏷️ Labels: Latex, Greedy Algorithms, Education, Slides, Heuristics
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal: The session aimed to develop comprehensive LaTeX slides for a course on Greedy Algorithms, covering various aspects from theoretical foundations to practical applications.
Key Activities:
- Initiated with the PDF content summary process to align the slide content with the course outline.
- Developed LaTeX slides on ‘Definition and Principles’ of Greedy Algorithms, including key concepts and principles.
- Created slides for ‘Locally Optimal Choices’, detailing the essence of greedy strategy, heuristics, and limitations.
- Included examples and use cases such as the activity selection problem, fractional knapsack problem, and Huffman codes.
- Discussed when to use Greedy Algorithms, focusing on the greedy choice property and optimal substructure.
- Prepared slides from a PDF to understand exercises and create content for each topic.
- Introduced programming exercises in LaTeX, including Dance Pairs, Sum of Elements, and Activity Selection.
- Explored examples of greedy heuristics and limitations in optimization problems, particularly in NP-complete problems.
- Concluded with a discussion on the failure of greedy algorithms in the coin change problem, emphasizing the importance of the greedy choice property.
Achievements:
- Successfully developed a comprehensive set of LaTeX slides covering theoretical and practical aspects of Greedy Algorithms.
- Clarified the applicability and limitations of greedy strategies through examples and formal notations.
Pending Tasks:
- Review and refine slides for clarity and educational impact.
- Integrate additional exercises and case studies for deeper understanding.