From 8e875f1e9599dd52dcaad71ea0b2f21210312ca2 Mon Sep 17 00:00:00 2001 From: Christian Kolset Date: Mon, 5 May 2025 19:01:43 -0600 Subject: Post meeting state --- admin/meeting-notes/2025-04-29.md | 17 +++++++++++++---- tutorials/module_2/ai_assisted_programming.md | 1 + tutorials/module_2/problem_solving_strategies.md | 2 ++ tutorials/module_3/numerical_methods.md | 4 ++-- 4 files changed, 18 insertions(+), 6 deletions(-) diff --git a/admin/meeting-notes/2025-04-29.md b/admin/meeting-notes/2025-04-29.md index 97bb99b..990b0c1 100644 --- a/admin/meeting-notes/2025-04-29.md +++ b/admin/meeting-notes/2025-04-29.md @@ -25,11 +25,20 @@ and questions - Types of AI - Language - Vision - - Generative - - Reinforming + - generative + - reinforcement learning + - Hands on exercise using AI flowshort > code or debug code. + - AI vs Algorithms - - Rubics Cube example of algorithm -- VCS tutorial -> Github vs. git + - Introduce **rubric cube** as solving an algorithm + +- 2 exercises per week + + +VCS +- Git -> Git vs github +- instead of git use GUI + --- ## Actions diff --git a/tutorials/module_2/ai_assisted_programming.md b/tutorials/module_2/ai_assisted_programming.md index 86be2d7..63479cc 100644 --- a/tutorials/module_2/ai_assisted_programming.md +++ b/tutorials/module_2/ai_assisted_programming.md @@ -8,6 +8,7 @@ Don't try to get AI to do work *for you* but *with you*. You need to understand AI is a great learning tool, research as show that students can benefit from using AI as personal tutor [more](https://hbsp.harvard.edu/inspiring-minds/ai-as-personal-tutor). +# Language based vs ## Available tools Below is a comprehensive list of tools that are available at not cost to you. diff --git a/tutorials/module_2/problem_solving_strategies.md b/tutorials/module_2/problem_solving_strategies.md index b79b57e..c7f8dfd 100644 --- a/tutorials/module_2/problem_solving_strategies.md +++ b/tutorials/module_2/problem_solving_strategies.md @@ -38,6 +38,8 @@ When writing the code it is important to ask yourself whether you're using the r ## Verify and Validate When writing code it is crucial to test and confirm your code. It is therefore important to ask yourself the following questions. Does the code do what you intended it to do? And, is the mathematical model used in the code valid for the current problem? +## Exercise: Rubrics Cube problem + ## Exercise: Design a derivative finding algorithm Set up the problem and write pseudo-code to calculate the gradient of an unknown function. diff --git a/tutorials/module_3/numerical_methods.md b/tutorials/module_3/numerical_methods.md index 6791aff..4b3f39a 100644 --- a/tutorials/module_3/numerical_methods.md +++ b/tutorials/module_3/numerical_methods.md @@ -33,9 +33,9 @@ Euler's Method - Forward - Backwards -Runge-Kutta Method +Runge-Kutte -[Read More](https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/chapter22.00-ODE-Initial-Value-Problems.html) +[ReadMore](https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/chapter22.00-ODE-Initial-Value-Problems.html) -- cgit v1.2.3