diff options
| author | Christian Kolset <christian.kolset@gmail.com> | 2025-04-30 16:00:18 -0600 |
|---|---|---|
| committer | Christian Kolset <christian.kolset@gmail.com> | 2025-04-30 16:00:18 -0600 |
| commit | 64985c201980e2edd00c54e8ba9270f55d8c6fe8 (patch) | |
| tree | 15e8e2de7e07c4e1180e558d9f9f6a13ed28ff61 /admin | |
| parent | c92bce22a096db9275756628613317998b083359 (diff) | |
Post meeting notes. Half of this version was re-written from momory as half the data was lost due to faulty keybaord
Diffstat (limited to 'admin')
| -rw-r--r-- | admin/meeting-notes/2025-04-29.md | 40 |
1 files changed, 32 insertions, 8 deletions
diff --git a/admin/meeting-notes/2025-04-29.md b/admin/meeting-notes/2025-04-29.md index 5e8e9b7..97bb99b 100644 --- a/admin/meeting-notes/2025-04-29.md +++ b/admin/meeting-notes/2025-04-29.md @@ -1,22 +1,46 @@ ## Updates -- Working on Jupyter Notebooks (/tutorials/notebooks). Module 1 & 2 -> notebooks -- Writing in .md -> convert to .ipynb & .tex -- Time +- Schedule, couple days behind schedule +- Focused on core content (tutorials) +- Working on Jupyter Notebooks. Module 1 & 2 -> notebooks +- Have a compiled pdf / textbook. +- Workflow: still writing in .md -> convert to .ipynb & .tex --- ## Topics and questions -- Course Overview +- Jupyter Notebooks + - Planned for: + - Control Structures + - Functions +- Course Overview + - Review and discuss potential changes + - Error Module --- ## Discussion +- AI programming tutorial + - Types of AI + - Language + - Vision + - Generative + - Reinforming +- AI vs Algorithms + - Rubics Cube example of algorithm +- VCS tutorial -> Github vs. git --- ## Actions -- [ ] Finish off Jupyter tutorial (.md version) -- [ ] Finish Module 2 -- [ ] Start Module 3 -- [ ] Work on Jupyter Notebooks & focus on interaction for module 1
\ No newline at end of file + +To do: + +- Each Tutorial should have two problems (one to work in classroom, one to leave as homework) +- Intro to algorithm at the beginning of Module 2 (computational algorithm vs. real-world algorithms) +- Move AI at the end of Module 2 +- AI vs. alorithms +- AI types (LLM vs. Resconstructive AI vs. Generative AI, Reinforcement AI, Vision AI etc) +- Then we go into AI applications: AI for code debugging vs AI for code generation based on flowcharts +- pick a GIT GUI program for next time and see how much we can simplify the discussion on Git and Github +- Module 3 - bare minimum numerical methods: 1. Equation solvers/Root finding: Newton, Secant Method. 2. Systems of Equations: Gauss Method, LU Decomposition. 3. Integration: Trapezoid Method, Simpson Method. 4. Differentiation/ODEs: Explicit Euler, RK methods, Implicit Euler.
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