📅 2023-10-09 — Session: Evaluated student responses on graph theory algorithms
🕒 16:40–20:45
🏷️ Labels: DFS, Graph Theory, Student Evaluation, Algorithms
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal: The session aimed to evaluate student responses related to graph theory algorithms, specifically focusing on the use of Depth-First Search (DFS) to identify bridges in graphs and understand connectivity issues.
Key Activities:
- Conducted detailed analysis of student responses (No143, No98, No13, No193) regarding the use of DFS for identifying bridges in graphs.
- Provided feedback on students’ understanding and areas for improvement, highlighting correct approaches and misunderstandings.
- Discussed algorithmic proposals for identifying connections between friends using DFS and the complexity involved.
- Implemented and reviewed pseudocode for detecting and removing bridges in graphs, ensuring clarity in the algorithm’s steps and complexity.
- Outlined algorithms to determine distinct paths between friends and detect isolated friends in a graph using back-edges.
Achievements:
- Successfully evaluated multiple student responses, providing constructive feedback and identifying key areas for improvement.
- Developed and reviewed pseudocode for bridge detection and removal, enhancing understanding of graph connectivity.
Pending Tasks:
- Further review and refinement of algorithms to ensure efficient identification of bridges and connected components in graphs.