Developed Jupyter Notebooks for Linear Algebra Course

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📅 2024-08-07 — Session: Developed Jupyter Notebooks for Linear Algebra Course

🕒 00:40–23:50
🏷️ Labels: Jupyter Notebooks, Python, Openai, Linear Algebra, Education
📂 Project: Teaching
⭐ Priority: MEDIUM

Session Goal

The session aimed to develop and enhance tools and structures for integrating computational linear algebra into educational courses, focusing on Jupyter Notebooks and Python scripts.

Key Activities

  • Explored LU and QR factorizations and their implementation in Python for solving linear systems.
  • Planned integration of computational linear algebra workbooks into course structures using Jupyter Notebooks.
  • Proposed repository structures for linear algebra courses, facilitating documentation and exercise organization.
  • Implemented Python classes (EvaluatorClean and EvaluatorDeep) for exercise evaluation using the OpenAI API.
  • Developed a NotebookCreator class to generate Jupyter notebooks from markdown files, ensuring proper formatting and metadata.
  • Enhanced educational exercises with detailed pedagogical analysis and Python implementations.

Achievements

  • Successfully outlined and implemented repository structures and notebook creation logic for linear algebra courses.
  • Developed tools to automate the creation and evaluation of educational content using Python and OpenAI.

Pending Tasks

  • Further testing and refinement of the NotebookCreator class to ensure compatibility with various educational content.
  • Explore additional integration strategies for computational linear algebra into broader educational curricula.

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