Enhanced Algorithm Curriculum with New Exercises

• Day: 2024-05-05
• Time: 13:10 to 16:45
• Project: Teaching
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Algorithms, Education, Curriculum Development, Exercise Creation

Description

Session Goal: The session aimed to enhance the existing algorithm curriculum by identifying gaps and introducing new exercises to provide a comprehensive learning experience.

Key Activities:

• Thematic grouping of algorithm exercises into categories such as Backtracking, Dynamic Programming, Graph Traversal, and Divide and Conquer.
• Development of multiple-choice exercises focusing on Greedy and String Algorithms.
• Creation of exam questions and exercises for Graph Theory and Algorithm Design, including DFS and BFS techniques.
• Design of exam structures to evaluate algorithmic techniques through multiple-choice and true/false questions.
• Introduction of exercises focusing on pseudocode analysis and completion for algorithms like DFS, BFS, Dijkstra, and Kruskal.

Achievements:

• Successfully organized and categorized algorithm exercises to address curriculum blind spots.
• Developed comprehensive exam questions and exercises to assess students’ understanding of key algorithmic concepts.

Pending Tasks:

• Further refinement of the curriculum and exercises to ensure alignment with educational goals.
• Implementation of the new exercises into the teaching plan for the upcoming semester.

Evidence

• source_file=2024-05-05.sessions.jsonl, line_number=0, event_count=0, session_id=d03f7923882c490c3110549d3dc42d18ae226a7029ac5c7b443021979ebc425f
• event_ids: []