Schedule

Schedule will be updated regularly throughout the semester

WEEK DATE PREP SLIDES ACTIVITIES DUE
1 T Jan 14
welcome ae-01

W Jan 15
meet the toolkit
lab-01 instructions
lab-01

Th Jan 16
GitHub - catch up finish lab-01

F Jan 17


lab-01
2 T Jan 21 R4DS Ch 1
R4DS Ch2
data visualization
quiz-01

W Jan 22
ggplotting ae-02
lab-02


Th Jan 23
no slides - data viz practice
quiz-01 responses
finish lab-02
ae-03


F Jan 23


ae-02
ae-03
lab-02
3 T Jan 28 R4DS Ch 3
R4DS Ch 5
data transformation ae-04 quiz-02

W Jan 29
data tidying lab-03

Th Jan 30 R4DS Ch 19
lab-03 and/or
ae-05


F Jan 31


lab-03
ae-04
ae-05 (optional)
4 T Feb 4 R4DS Ch 16
R4DS Ch 17
data joins ae-06 quiz-03

W Feb 5

lab-04

Th Feb 6
data types
data classes
ae-07

F Feb 7


lab-04
ae-05
ae-06
ae-07
5 T Feb 11 IMS Ch 4
IMS Ch 5
IMS Ch 6
data import ae-08
ae-09
quiz-04

W Feb 12
effective data viz lab-05 snow day - complete lab-05 on your own

Th Feb 13
data import - cont.


F Feb 14


lab-05
ae-08
ae-09
6 T Feb 18
effective data viz - cont.


W Feb 19
doing data science lab-06

Th Feb 20
data recode review ae-06-09 and
lab-04 solutions


F Feb 21


lab-06
update and reflect on
ae-06-09 and lab-04
7 T Feb 25 R4DS Ch 25 functions - intro ae-10 quiz-05

W Feb 26
git conflicts instructions
project guidelines
lab-07 sign up for project group

Th Feb 27
functions - details ae-11

F Feb 28


ae-10
ae-11
8 T Mar 4
project proposal work: decide on a dataset


W Mar 5
project proposal work


Th Mar 6 R4DS Ch 26 iteration ae-12 quiz-06

F Mar 7


ae-12
9 T Mar 11
spring Break - no class


W Mar 12
spring Break - no lab


Th Mar 13
spring Break - no class

10 T Mar 18 optional resource on map() from Advanced R more iteration ae-13

W Mar 19
project work


Th Mar 20
iteration practice ae-14

F Mar 21


learning reflection (clone from GitHub)
project proposal
ae 13
11 T Mar 25
language of models ae-15

W Mar 26
project work


Th Mar 27




F Mar 28


ae-14
a-15
12 T Apr 1
fitting and interpreting models ae-16

W Apr 2
lab-08


Th Apr 3
No class - CG out sick


F Apr 4


lab-08
ae-16
13 T Apr 8
No class - advising day


W Apr 9
project work


Th Apr 10
review lab-08 solutions
model checking and nonlinearity



F Apr 11



14 T Apr 15
models with multiple predictors ae-17

W Apr 16
no lab - CG out sick
project draft for peer review

Th Apr 17
project peer review


F Apr 18


ae-17
15 T Apr 22
tying up loose ends


W Apr 23
project work


Th Apr 24
spatial data: make a map ae-19, ae-20
both optional


F Apr 25


ae optional
16 F May 2
2:00-4:15 (final exam period) Project review panel
final project

M May 5


final learning reflection