📅 2024-08-07 — Session: Developed and Analyzed Linear Algebra Exercise Scripts
🕒 15:30–18:05
🏷️ Labels: Linear Algebra, Python, Teaching, Scripting, Debugging
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
This session aimed to develop and analyze computational exercises related to linear algebra concepts, including generator systems, linear independence, and linear transformations, using Python.
Key Activities
- Conducted a class on generator systems and linear transformations, covering theoretical foundations and practical Python implementations.
- Developed a laboratory session focusing on linear independence and transformations with Python examples.
- Implemented computational exercises to calculate matrix rank and dimensionality using Gaussian elimination and SVD.
- Analyzed and recommended improvements for the sequence of exercises in linear algebra classes.
- Created and debugged Python scripts to split exercises from a markdown file into separate files.
Achievements
- Successful implementation of Python exercises for linear algebra concepts.
- Detailed analysis and recommendations for exercise sequence improvement.
- Debugged and optimized scripts for file handling in Python.
Pending Tasks
- Further refinement of exercise sequence based on recommendations.
- Exploration of additional computational methods for linear algebra exercises.