📅 2023-10-09 — Session: Analyzed and Implemented DFS for Bridge Detection
🕒 16:40–20:45
🏷️ Labels: DFS, Graph Theory, Student Evaluation, Algorithms, Bridges
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal: The session aimed to evaluate student responses on graph theory, specifically focusing on the use of Depth-First Search (DFS) for detecting bridges in graphs and its application in social network analysis.
Key Activities:
- Analyzed student responses (No143, No98, No13, No193) on their understanding and application of DFS in identifying graph bridges.
- Proposed and implemented algorithms using DFS to detect bridges and evaluate connectivity between friends in a social graph.
- Developed pseudocode for detecting and removing bridges, and discussed algorithm complexity.
- Evaluated the effectiveness of student solutions, providing feedback on clarity and understanding.
- Outlined an algorithm using back-edges to determine distinct paths between friends.
Achievements:
- Successfully implemented a DFS-based algorithm for bridge detection in social networks.
- Provided detailed feedback to students on their graph algorithm solutions.
- Developed a comprehensive pseudocode for bridge detection and removal.
Pending Tasks:
- Further refinement of the algorithm to optimize bridge detection efficiency.
- Additional feedback sessions with students to improve their understanding of graph algorithms.