Schedule

Reminders

  • Pre-lecture quizzes are due at 18:00 the day before each lecture
  • Datacamp and end-of-week assignments are also due at 18:00

Week 1

Monday
21 Aug
Lecture: Course foundations
Read Ch 1 (no quiz)
Do Day One Survey
Review syllabus
Tuesday
22 Aug
Lab: RStudio and RMarkdown 101
Install R and RStudio ahead of the lab
Set up your Datacamp account (see email)
Wednesday
23 Aug
Lecture: Describing data
Read Ch 2-3
Friday
25 Aug
Datacamp assignment
Introduction to R
Sunday
27 Aug
End-of-week assignment
Homework 1

Week 2

Monday
28 Aug
Lecture: Distributions
Read Ch 4-5
Tuesday
29 Aug
Lab: Descriptives and distributions
Wednesday
30 Aug
Lecture: Scatterplots and correlations
Read Ch 6
Friday
1 Sep
Datacamp assignment
Introduction to the Tidyverse
Exploratory data analysis in R
Sunday
3 Sep
End-of-week assignment
Homework 2

Week 3

Monday
4 Sep
Lecture: Regressions
Read Ch 7
Tuesday
5 Sep
Lab: Running Regressions in R
Wednesday
6 Sep
Lecture: Regression wisdom
Read Ch 8
(In-class quiz on Ch 1-6)
Friday
8 Sep
Datacamp assignment
Introduction to Regression in R
Sunday
10 Sep
End-of-week assignment
Homework 3

Week 4

Monday
11 Sep
Lecture: Multiple regression
Read Ch 9
Tuesday
12 Sep
Lab: Multiple regression
Wednesday
13 Sep
Lecture: Confidence intervals for proportions
Read Ch 13
Friday
15 Sep
Datacamp assignment
Intermediate Regression in R
Sunday
17 Sep
End-of-week assignment
Midterm assignment

Week 5

Monday
18 Sep
Lecture: Confidence intervals for means
Read Ch 14
(In-class quiz on Ch 7-9)
Tuesday
19 Sep
Lab: Confidence intervals and sampling
Wednesday
20 Sep
Lecture: Research design
Read Ch 11 + Additional readings on Sakai
Friday
22 Sep
Datacamp assignment
Experimental Design in R (Ch 1 only)
Sunday
24 Sep
End-of-week assignment
Homework 4

Week 6

Monday
25 Sep
Lecture: Hypothesis testing
Read Ch 15 and 16
Tuesday
26 Sep
Lab: Hypothesis development and testing
Wednesday
27 Sep
Lecture: Reading Research
Readings are on Sakai (in the Week 6 → Wednesday folder)
Do the Practice Paper Analysis quiz
(In-class quiz on Ch 11 and 15-16)
Friday
29 Sep
Datacamp assignment
Hypothesis Testing in R (Ch 1-3)
Sunday
8 Oct
End-of-week assignment
Paper analysis

Week 7

Monday
9 Oct
Lecture: Comparing groups and making inferences
Read Ch 17 and 20
Tuesday
10 Oct
Lab: Running regressions and reading output
Wednesday
11 Oct
Review session
(No readings)
Friday
13 Oct
Datacamp assignment
Inference for Linear Regression in R
Sunday
15 Oct
End-of-week assignment
None

The final assignment is due Tuesday 17 October at 18:00

 

Click the week number to see additional details, including lesson goals and readings. I will update the course website and email you if we need to adjust the schedule during the semester.