From 64985c201980e2edd00c54e8ba9270f55d8c6fe8 Mon Sep 17 00:00:00 2001
From: Christian Kolset <christian.kolset@gmail.com>
Date: Wed, 30 Apr 2025 16:00:18 -0600
Subject: Post meeting notes. Half of this version was re-written from momory
 as half the data was lost due to faulty keybaord

---
 admin/meeting-notes/2025-04-29.md | 40 +++++++++++++++++++++++++++++++--------
 1 file 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 
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+
+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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