| Date |
Module |
Topics |
Read |
Code |
Homework |
| Week 1 |
home |
Course design, goals, introduction, and setup |
|
|
|
| |
|
MODULE 1: an introduction to computing in R |
|
|
|
| Week 2 |
|
git/GitHub |
|
|
|
| Week 3 |
|
An introduction to R and R markdown |
|
|
|
| Week 4 |
|
Visualization basics |
|
|
|
| |
|
MODULE 2: host-virus associations |
|
|
|
| Week 5 |
bug_report |
An intro to VIRION and strings |
|
|
|
| Week 6 |
bug_report |
Data manipulation (base + plyr/dplyr) |
|
|
|
|
|
MODULE 3: ecological simulation |
|
|
|
| Week 7 |
|
Loops and apply |
|
|
|
| Week 8 |
|
`List` objects |
|
|
|
| Week 9 |
|
Probabilistic processes |
|
|
|
|
|
MODULE 4: making and evaluating models |
|
|
|
| Week 10 |
my_location |
Working with APIs |
|
|
|
| Week 11 |
my_location |
Statistical modeling |
|
|
|
| Week 12 |
my_location |
Making informed models + model performance |
|
|
|
| Week 13 |
|
Making your code readable, clean, and reproducible |
|
|
|
|
|
FINAL PROJECTS |
|
|
|
| Week 14 |
school |
Final Project presentations |
|
|
|