Schedule

Schedule for Math 154, Computational Statistics, Fall 2025

Here’s your roadmap for the semester! Each week, follow the general process outlined below:

• Enjoy the readings

• Attend class, review slides for anything you missed on the agenda

• Homework assignments are found at the GitHub course organization. Due dates are provided on each assignment (roughly every other week). See the course GitHub page for more information on how to find, complete, and submit assignments.

• Examine the reflection questions which are provided in the daily sections.

• Recognize and contemplate the ethics considerations which are provided in the daily sections.

week	topic	due dates	reading
8.25.25	starting with R + RStudio + Git data viz		happygitwithR introduction data viz
9.1.25	wrangling	HW 1 - due 9.3	data viz wrangling
9.8.25	functions	HW 2 - due 9.10 Quiz 1 (wrangling + ggplot) 9.10
9.15.25	simulating	HW 3 - due 9.17
9.22.25	permutation tests	HW 4 - due 9.24 Quiz 2 (functions + simulating) 9.24
9.29.25	permutation tests	HW 5 - due 10.1
10.6.25	bootstrapping	HW 6 - due 10.8 Quiz 3 (permutation tests) 10.8
10.15.25	bootstrapping
10.15.25	Initial Project Proposal due	to Canvas
10.20.25	recipes + knn	HW 7 - due 10.22 Quiz 4 (bootstrapping) 10.22
10.27.25	trees + bagging	HW 8 - due 10.29
10.29.25	Final Project Proposal due	to GitHub
11.3.25	Random Forests	HW 9 - due 11.5
11.10.25	support vector machines	HW 10 - due 11.12 Quiz 5 11.12 (trees + forests)
11.12.25	Project Update	to GitHub
11.17.25	clustering
11.24.25	clustering	HW 11 - due 11.26
12.1.25	latent Dirichlet allocation + extensions	HW 12 - due 12.3.25 Quiz 6 (clustering) 12.3
12.5.25 + 12.08.25	Group Presentations	in class, 2-5pm
12.08.25	Final write-up	to GitHub