Related: Part 1
Overview
[AI Summary]: Shane Lin continues his Monte Carlo simulation analysis of Praxis fellowship scheduling by incorporating real UVA course distribution data from Lou’s List. Instead of assuming random scheduling, this refined model uses actual class time patterns, revealing better but nuanced outcomes: while success rates decline less steeply (from the original model’s 50% at 10 hours), the trade-off means increased likelihood of requiring early morning or Friday sessions. The post demonstrates practical application of computational methods to institutional planning challenges.
- Author: Shane Lin
- Date: October 9, 2025
- Institution: UVA Scholars’ Lab
- License: CC-BY 4.0
- Code: GitHub Repository