From b9b391a4d7c58df41f4edda742691fb0b62323cc Mon Sep 17 00:00:00 2001 From: Christian Kolset Date: Fri, 9 May 2025 10:00:28 -0600 Subject: Added 2025-05-09 meeting notes --- admin/meeting-notes/2025-05-09.md | 61 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 61 insertions(+) create mode 100644 admin/meeting-notes/2025-05-09.md diff --git a/admin/meeting-notes/2025-05-09.md b/admin/meeting-notes/2025-05-09.md new file mode 100644 index 0000000..f571a12 --- /dev/null +++ b/admin/meeting-notes/2025-05-09.md @@ -0,0 +1,61 @@ +## Updates +- 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 + + + +- Summer situation: +- Next Academic Year. +- Git GUI program selection and simplification of git and github tutorial. + +--- +## Topics +and questions + +- 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 + - reinforcement learning + - Hands on exercise using AI flowshort > code or debug code. + +- AI vs Algorithms + - Introduce **rubric cube** as solving an algorithm + +- 2 exercises per week + + +VCS +- Git -> Git vs github +- instead of git use GUI + + +--- +## Actions + +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. algorithms +- AI types (LLM vs. Reconstructive 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. \ No newline at end of file -- cgit v1.2.3