====== Interactive educational app ======

When watching EOA lectures, have you had a feeling that something would have been better explained using a kind of interactive demo, instead of static graphs and images? You can create such a demo/dashboard/application as part of this semestral project topic to help future EOA students.

===== Specifications =====
This topic covers potentially a large number of possible projects. **The actual details of your chosen interactive demo must be discussed with the teacher before starting the work!**

The resulting demo/dashboard/app should be usable during EOA lectures: 
  * It should be an interactive demo/app/dashboard, i.e., a video recording of something is not sufficient.
  * It should allow to control important parameters of the demo in its interface.
  * It should be preferably implemented in Julia or Python. It may have a form of [[https://jupyter.org/|Jupyter notebook]] (with interactive widgets), a [[https://streamlit.io/|Streamlit]] application, a [[https://dash.plotly.com/|Dash]] app, a [[https://juliapackages.com/p/pluto|Pluto.jl]] notebook, etc. You can suggest and use another dashboarding tool if you wish.

===== Implementation thoughts =====
There are basically 2 imaginable basic modes of operation:
  - Set up and run a simulation, display some statistics/graphs/images on the fly.
  - Choose a file with a pre-recorded simulation data, and visualise them.
Of course, a combination of the above two is possible too: if pre-recorded data exist, do not run the simulation, just display the data; if pre-recorded data are not available, run the simulation to collect them (and store them for future).