Schedule

Schedule for Math 154, Computational Statistics, Fall 2021

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

• Complete the assignment (see Sakai messages for HW link)

• Discuss the reflection questions and ethics considerations with your classmates, mentor, and professor

• 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.

date	topic	due dates
8.26.24	starting with R + RStudio + Git
9.2.24	data viz	HW 1 - due 9.3
9.9.24	wrangling	HW 2 - due 9.10 Quiz 1 9.11
9.16.24	wrangling	HW 3 - due 9.17
9.23.24	simulating	HW 4 - due 9.24 Quiz 2 9.25
9.30.24	permutation tests	HW 5 - due 10.1
10.7.24	bootstrapping	HW 6 - due 10.8 Quiz 3 10.9
10.14.24	bootstrapping
10.16.24	Initial Project Proposal due
10.21.24	recipes + knn	HW 7 - due 10.22 Quiz 4 10.23
10.28.24	trees + bagging	HW 8 - due 10.29
10.30.24	Final Project Proposal due
11.4.24	Random Forests	HW 9 - due 11.5 Quiz 5 11.6
11.11.24	support vector machines	HW 10 - due 11.12
11.13.24	Project Update
11.18.24	clustering	Quiz 6 11.20
11.25.24	clustering	HW 11 - due 11.26
12.2.24	Latent Dirichlet allocation + extensions	HW 12 - due 12.3.24
12.6 + 12.24	Group Presentations 2-5pm
12.12.24	Final write-up