| Date |
Module |
Data |
Topics |
Read |
Homework |
| Week 1 |
home |
|
Course design, goals, introduction, and setup |
|
|
| |
|
|
MODULE 1: an introduction to computing in R |
|
|
| Week 2 |
|
|
git/GitHub |
|
|
| Week 3 |
|
|
R and R markdown |
|
|
| Week 4 |
|
|
Visualization basics |
|
|
| |
|
|
MODULE 2: host-virus associations |
|
|
| Week 5 |
|
|
An intro to VIRION and strings |
|
|
| Week 6 |
|
|
Data manipulation (base + plyr/dplyr) + CI |
|
|
|
|
|
MODULE 3: species distribution modeling |
|
|
| Week 7 |
my_location |
|
Intro to APIs and spatial data |
|
|
| Week 8 |
my_location |
|
Visualizing and modelling species occurrence data + Docker |
|
|
| Spring break |
|
--- |
--- |
|
|
| Week 10 |
my_location |
|
Making informed models + model performance |
|
|
|
|
|
MODULE 4: ecological simulation |
|
|
| Week 11 |
|
satellite |
Intro to simulation, looping and apply |
|
|
| Week 12 |
|
satellite |
lists and parallelization |
|
|
| Week 13 |
|
satellite |
Probabilistic processes |
|
|
| Week 14 |
|
face |
Wrap up and big picture |
|
|
|
|
|
FINAL PROJECTS |
|
|
| Week 15 |
school |
|
Final Project presentations |
|
|
| Week 15 (GIVE ACTUAL DATE HERE) |
school |
|
Final Projects DUE |
|
|