📅 2024-10-24 — Session: Class Preparation on Computational Linear Algebra: Power Method and PCA
🕒 15:20–16:00
🏷️ Labels: Power Method, PCA, Class Preparation, Computational Linear Algebra, Teaching
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The goal of this session was to prepare for a class on computational linear algebra, focusing on two main topics: the Power Method and Principal Component Analysis (PCA).
Key Activities
- Power Method Preparation: Developed a detailed class plan for a 1.5-hour session on the Power Method, covering eigenvalues and eigenvectors. This included creating practical exercises and a Python implementation guide.
- PCA Preparation: Planned a 1.5-hour class on PCA, focusing on dimensionality reduction, eigenfaces, and classification. Prepared materials for practical examples and visualizations.
Achievements
- Completed the class preparation for both the Power Method and PCA, ensuring that all necessary materials and guides are ready for teaching.
Pending Tasks
- Review and refine the prepared materials to ensure clarity and effectiveness before the actual class session.