Analyzed and Implemented DFS for Bridge Detection

• Day: 2023-10-09
• Time: 16:40 to 20:45
• Project: Teaching
• Workspace: WP 1: Strategic / Growth & Development
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: DFS, Graph Theory, Student Evaluation, Algorithms, Bridges

Description

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:

1. Analyzed student responses (No143, No98, No13, No193) on their understanding and application of DFS in identifying graph bridges.
2. Proposed and implemented algorithms using DFS to detect bridges and evaluate connectivity between friends in a social graph.
3. Developed pseudocode for detecting and removing bridges, and discussed algorithm complexity.
4. Evaluated the effectiveness of student solutions, providing feedback on clarity and understanding.
5. 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.

Evidence

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• event_ids: []