📅 2024-07-31 — Session: Analysis and Feedback on MST Algorithms
🕒 21:20–23:50
🏷️ Labels: MST, Graph Theory, Algorithms, Education, Feedback
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The session aimed to analyze and provide feedback on students’ understanding and solutions related to Minimum Spanning Trees (MST) using various algorithms, including Prim’s and Kruskal’s algorithms.
Key Activities
- Analyzed a student’s reasoning process for determining a unique MST in graphs, focusing on complexity issues and optimization suggestions.
- Provided feedback on students’ understanding of MST concepts and proposed an algorithm for determining MST uniqueness based on edge weights.
- Evaluated and improved a student’s solution using Prim’s algorithm for MST, recommending enhancements for clarity and efficiency.
- Assessed a student’s solution using Kruskal’s algorithm with a focus on tie detection and efficient verification methods.
- Compared student proposals using Dijkstra’s and Floyd-Warshall algorithms for optimal location determination.
Achievements
- Identified key areas of improvement in students’ understanding and implementation of MST algorithms.
- Proposed optimized algorithms and methods for verifying MST uniqueness and complexity.
Pending Tasks
- Further refinement of student solutions based on feedback and evaluations provided.
- Continued monitoring of students’ progress in understanding and applying graph algorithms.