Developed Curriculum for Computational Linear Algebra Course
- Day: 2024-08-20
- Time: 00:05 to 23:10
- Project: Teaching
- Workspace: WP 2: Operational
- Status: In Progress
- Priority: MEDIUM
- Assignee: Matías Nehuen Iglesias
- Tags: Education, Python, Course Planning, Linear Algebra, Development
Description
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.
Evidence
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- event_ids: []