📅 2025-02-21 — Session: Analysis and Planning for Data Collection and Course Syllabus
🕒 21:00–23:20
🏷️ Labels: Data Collection, FAISS, Ai-Assisted Learning, Langflow, Thematic Clustering
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The session aimed to analyze data retrieval performance and plan thematic clusters for data collection and course syllabus structuring.
Key Activities
- Analyzed retriever performance for geovisualization queries using FAISS.
- Developed Python code for filtering FAISS search results.
- Reviewed and evaluated data collection and organization passages.
- Assessed citations related to data collection for reliability and relevance.
- Planned thematic clusters for data collection and organization.
- Outlined AI-assisted course syllabus structuring and LangFlow workflows for course development.
Achievements
- Identified strengths and weaknesses in data retrieval and citation reliability.
- Established thematic clusters for data collection fundamentals and course syllabus.
- Designed workflows for AI-assisted course development using LangFlow.
Pending Tasks
- Refine queries for more focused data quality discussions.
- Implement LangFlow workflows for modular course development.