lectures

AA120Q Lecture Notebooks

Steps

1. Open Pluto:

- Run `julia` in a terminal.
- Within Julia, run:
    ```julia
    using Pluto
    Pluto.run()
    ```
    - This should open Pluto in your browser.
        - If not, checkout the Pluto output for the URL (likely http://localhost:1234/):
        ```julia
        ┌ Info:
        └ Opening http://localhost:1234/ in your default browser... ~ have fun!
        ```

2. Open the desired notebook from Pluto through this box (<PATH_TO_AA120Q>/lectures/<DESIRED_NOTEBOOK.jl>):

- Click `Run notebook code` (on the top right).

Notebook Overview

#	Title	Link	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.