📅 2024-08-07 — Session: Developed and Implemented Linear Algebra Exercises
🕒 15:30–18:00
🏷️ Labels: Linear Algebra, Python, Education, Exercise Development, File Management
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to develop and implement exercises related to linear algebra, focusing on generator systems, linear independence, linear transformations, and subspaces, with practical Python applications.
Key Activities
- Conducted a class on generator systems and linear transformations, including Python implementations.
- Developed a laboratory session focusing on problem-solving in linear algebra, covering linear independence and transformations.
- Created computational exercises in Python to calculate matrix rank, determine bases, and verify dimensional properties using methods like Gaussian elimination and SVD.
- Analyzed and recommended improvements for the sequence of exercises in linear algebra classes.
- Developed and debugged a Python script to split exercises from a markdown file into separate files for better organization and management.
Achievements
- Successfully implemented and tested exercises in Python, enhancing the educational material for linear algebra.
- Improved the sequence and structure of exercises, providing a more coherent learning path.
- Developed a robust script for managing markdown files containing exercises.
Pending Tasks
- Further refinement of exercise sequences based on feedback from educational sessions.
- Continuous improvement and testing of the Python script to ensure reliability in diverse scenarios.