AA120Q Assignment Notebooks

Steps

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>/assignments/<DESIRED_NOTEBOOK.jl>):
- Click Run notebook code (on the top right).
Complete the assignment.
Submit
Export this notebook as a PDF (how-to in the documentation)
Upload the PDF to Gradescope
Tag your pages on Gradescope

#	Title	Version	Description
1	Estimating π	v2025.0.2	Implement Buffon's needle experiment to estimate π through simulation. Learn about random sampling, statistical convergence, and visualization of results.
2	Learning Aircraft Encounter Models	v2025.1.0	Develop probabilistic models of aircraft encounters using Bayesian networks. Implement methods for learning both initial conditions and dynamic transitions from data.
3	Encounter Simulation and Analysis	v2025.0.3	Generate and analyze aircraft encounter scenarios. Focus on safety metrics, particularly near mid-air collision (NMAC) analysis in simulated encounters.
4	Simple Collision Avoidance System	v2025.0.1	Design and implement a basic collision avoidance system. Evaluate system performance through safety and efficiency metrics, exploring fundamental trade-offs in system design.
5	CAS Design	v2025.0.1	Design and implement a more refined collision avoidance system. Build on insights from the simple CAS to create improved collision avoidance logic and demonstrate enhanced performance.
6	Additional Analysis	v2025.0.1	Conduct in-depth analysis of your collision avoidance system design. Evaluate improvements, assess performance gains, and provide discussions on system capabilities and limitations.