📅 2024-10-24 — Session: Class Preparation on Power Method and PCA
🕒 15:20–15:55
🏷️ Labels: Power Method, PCA, Computational Linear Algebra, Class Preparation
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The session aimed to prepare a comprehensive class on computational linear algebra, focusing on the Power Method and Principal Component Analysis (PCA).
Key Activities
- Power Method: Developed a detailed class plan covering the Power Method, including objectives, class structure, and practical activities to teach eigenvalues and eigenvectors. Implemented a basic version in Python and analyzed convergence using symmetric matrices.
- Principal Component Analysis (PCA): Prepared materials for teaching PCA, covering topics such as eigenfaces, dimensionality reduction, and classification. Developed practical exercises for data analysis, including the implementation of PCA in Python and discussions on the trade-offs in dimensionality reduction.
Achievements
- Completed detailed class plans and instructional guides for both the Power Method and PCA.
- Developed practical exercises and Python implementations to facilitate understanding of key concepts.
Pending Tasks
- Finalize visual aids and interactive components for the class to enhance student engagement.
- Prepare assessment questions to evaluate student understanding of the Power Method and PCA.