README.md

AA120Q Lecture Notebooks

Open Pluto:
- Run julia in a terminal.
- Within Julia, run:
```
using Pluto
Pluto.run()
```
  - This should open Pluto in your browser.
    - If not, checkout the Pluto output for the URL (likely http://localhost:1234/):
```
┌ Info:
└ Opening http://localhost:1234/ in your default browser... ~ have fun!
```
Open the desired notebook from Pluto through this box (<PATH_TO_AA120Q>/lectures/<DESIRED_NOTEBOOK.jl>):
- Click Run notebook code (on the top right).

#	Title	Version	Description
1	Introduction to Julia and Pluto	v2025.0.1	Introduction to the Julia programming languange and the interactive Pluto notebook environment. Topics include basic syntax, data types, control flow, functions, and plotting.
2	Scientific Computing Tools and Visualizations	v2025.0.1	Learn about scientific computing tools in Julia, including working with probability distributions, data visualization, and basic statistical analysis.
3	Learning	v2025.0.1	Introduction to parameter learning and model fitting. Topics include maximum likelihood estimation, fitting probabilistic models to data, and cross validation.
4	Simulation	v2025.0.1	Explore methods for simulating dynamic systems. Learn about the simulation loop, stochastic models, random number generation, and visualization techniques.
5	Building and Evaluating Autonomous Systems	v2025.0.1	Develop a foundation for constructing autonomous systems. Topics include decision-making processes, policy evaluation, and system implementation.
6	Analysis of Autonomous Systems	v2025.0.1	Methods for analyzing autonomous system performance including metrics definition, trade-off analysis using Pareto frontiers, and quantitative evaluation techniques.