This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses and the timeline of topics and assignments might be updated throughout the semester.
week
dow
date
what
topic
prepare
slides
ae_sa
hw
hw_sa
lab
lab_sa
exam
project
notes
1
W
11 January
NA
No Class
F
13 January
Lec-1
Welcome to STA 199
2
Tu
17 January
Lab-0
Hello R!
Release Lab 0: https://github.com/ElijahMeyer3/lab-0-public
W
18 January
Lec-2
Meet the toolkit
F
20 January
Lec-3
Visualizing various types of data
Lab 0 Due
3
Tu
24 January
Lab-1
Data visualization
Release Lab 1 / Release HW 1
W
25 January
Lec-4
Grammar of data wrangling
F
27 January
Lec-5
Grammar of data wrangling + Data types intro
Lab 1 Due
4
Tu
31 January
Lab-2
Data Wrangling
HW 1 Due / Release Lab 2
W
1 February
Lec-6
Working with multiple data frames
Exam Review Release: https://sakai.duke.edu/access/content/group/3c0a7e6f-cbfc-4e54-bcbf-faf6fa16761c/practice1.pdf
F
3 February
Lec-7
Tidying data
5
Tu
7 February
Lab-3
Data tidying
Lab 2 Due / Release Lab 3
W
8 February
Lec-8
Debugging + ggplot practice
F
10 February
Lec-9
Exam Review
Lab 3 Due (5:00 PM) / Exam Released (5:00PM - 6:00PM)
6
Tu
No Lab: Work on Exam 1
Exam 1 Due
W
15 February
Lec-10
Introduction to probability
F
17 February
Lec-11
More Probability
Release HW 2
7
Tu
21 February
Lab-4
Merge Conflicts
W
22 February
Lec-12
Simple regression
F
24 February
Lec-13
Multiple regression I
HW 2 Due
8
Tu
28 February
Lab-5
Predicting a numerical outcome
W
1 March
Lec-14
Multiple regression II
Release Project Instructions; Release HW 3
F
3 March
Lec-15
Model selection
9
Tu
7 March
Lab-6
Work on project proposal
W
8 March
Lec-16
Logistic Regression
Release HW 6
F
10 March
Lec-17
Prediction
Project Proposal Due; HW3 Due; Release Project Draft Report Instructions
10
Tu
14 March
No class -- Spring Break
W
15 March
No class -- Spring Break
F
17 March
No class -- Spring Break
11
Tu
21 March
Logistic Regression Lab
W
22 March
Lec 18
Bootstrap
HW4 Release
F
24 March
Lec 19
Bootstrap + Central limit theorem I
12
Tu
28 March
Work on project proposal
W
29 March
Confidence Intervals + Central limit theorem II
F
31 March
Hypothesis testing I
HW4 Due
13
Tu
4 April
Hypothesis testing Lab
W
5 April
Hypothesis testing II
Release HW 5
F
7 April
Hypothesis testing III
Project Draft Report Due (5:00 PM)
14
Tu
11 April
Project peer review
W
12 April
Hypothesis testing wrap up
Th
13 April
HW 5 Due
F
14 April
Exam 2 Review
Project Peer Evaluations Due; Release Exam 2
15
Tu
18 April
No lab: exam 2
Exam 2 Due
W
19 April
Communicating Visualizations Effectively
Th
20 April
F
21 April
Communicating Visualizations Effectively + Spatial Data Visualization
16
Tu
25 April
Project presentations
W
26 April
(Optional) R-Shiny Interactive Plots
F
28 April
Final Project Due; Statistics Experience HW 6 Due