Analyzed and Solved Exam Programming Problems
- Day: 2023-10-04
- Time: 23:20 to 23:50
- Project: Teaching
- Workspace: WP 1: Strategic / Growth & Development
- Status: Completed
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: Algorithms, Exam, Graph Theory, Dynamic Programming, Education
Description
Session Goal:
The session aimed to analyze and solve various programming problems related to algorithms and data structures, specifically focusing on exam questions.
Key Activities:
- Reviewed problems from the first partial exam on algorithms and data structures, including air resistance in flights, computer connectivity, and bandwidth impact.
- Developed a recursive definition for the total resistance function for flights, using dynamic programming principles and pseudocode for minimum resistance calculation with memoization.
- Solved a network connectivity exercise, analyzing the impact of cutting an Ethernet cable on network connectivity using graph theory algorithms.
- Addressed a bandwidth analysis problem, leveraging Kruskal’s algorithm to construct a Minimum Spanning Tree and assess bandwidth impact after an attack.
- Discussed effective exam correction strategies to improve grading efficiency and feedback quality.
Achievements:
- Successfully formulated and implemented solutions for complex algorithmic problems related to the exam.
- Enhanced understanding of recursive algorithms, graph connectivity, and bandwidth analysis.
Pending Tasks:
- Further explore optimization techniques for dynamic programming solutions.
- Review additional exam questions to ensure comprehensive coverage of the subject matter.
Evidence
- source_file=2023-10-04.sessions.jsonl, line_number=1, event_count=0, session_id=219fe34b3697fb878f8f50a596eea342116fd068e44ab7dd409b9358ada87613
- event_ids: []