📅 2024-08-20 — Session: Developed Curriculum for Computational Linear Algebra Course
🕒 00:05–23:10
🏷️ Labels: Education, Python, Course Planning, Linear Algebra, Development
📂 Project: Teaching
⭐ Priority: MEDIUM
Session Goal
The session aimed to develop and refine the curriculum and preparation materials for a Computational Linear Algebra course targeted at data science graduates.
Key Activities
- Course Planning: Detailed the structure and objectives for the first class, focusing on environment setup, coding practices, and key linear algebra concepts using Python.
- Preparation Memos: Created memos outlining necessary preparations for the first lab class, including content review, environment configuration, and class structure.
- Programming Guides: Provided guides for splitting images for Instagram, verifying linear independence in Python, and solving quadratic equations using NumPy.
- Technical Instructions: Offered detailed instructions on setting up Python development environments using Anaconda, VS Code, and Google Colab.
Achievements
- Successfully outlined the curriculum for the Computational Linear Algebra course.
- Prepared comprehensive memos and guides for class preparation and technical setup.
Pending Tasks
- Review and incorporate feedback on the course curriculum and preparation materials.
- Finalize the environment setup instructions and ensure all students have the necessary tools installed before the course begins.