📅 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.