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
M
28 August
Lab 0
Hello R!
Release Lab-0
Tu
29 August
Lec-1
Welcome to STA 199
Th
31 August
Lec-2
Meet the toolkit
Fri
1 September
2
M
4 September
No Lab
Release HW-1
Tu
5 September
Lec-3
Data visualization
Th
7 September
Lec-4
Visualizing various types of data
Fri
8 September
3
M
11 September
Lab 1
Data visualization Lab
Release Lab-1
Tu
12 September
Lec-5
Grammar of data wrangling
Due HW-1 / Release HW-2
W
13 September
Due Lab-1
Th
14 September
Lec-6
Grammar of data wrangling II
Fri
15 September
4
M
18 September
Lab 2
Data wrangling
Release Lab-2
Tu
19 September
Lec-7
Working with multiple data frames
Due HW-2 / Release HW-3
W
20 September
Due Lab-2
Th
21 September
Lec-8
Tidying data
Fri
22 September
5
M
25 September
Lab 3
Data tidying
Release Lab-3
Tu
26 September
Lec-9
Data types and classes
Due HW-3; Due Lab-3 (5:00 PM)
W
27 September
Th
28 September
Lec-10
Importing and recoding data + Exam 1 Review
Release Exam 1
Fri
29 September
6
M
2 October
No Lab
Work on Exam 1
Due: Exam 1 11:59 PM
Tu
3 October
Lec-11
Data science ethics 1
Th
5 October
Lec-12
Data science ethics 2
Release HW-4
Fri
6 October
7
M
9 October
Lab 4
Merge Conflicts + Ethics
Release Lab-4
Tu
10 October
Lec-13
The language of models
W
11 October
Due Lab-4
Th
12 October
Lec-14
Models with a single predictor
Fri
13 October
Due HW-4
8
M
16 October
No Lab
No Lab (Fall Break)
Tu
17 October
No Class (Fall Break)
Th
19 October
Lec-15
Finish models with a single predictor + additive MLR
Fri
20 October
9
M
23 October
Lab
Work on Project Proposal
Tu
24 October
Lec-16
Finish additive MLR + interaction models
Release HW-5
Th
26 October
Lec-17
Model Selection
Fri
27 October
10
M
30 October
Lab 5
Predicting a numerical outcome
Release Lab-5; Due Project Proposal
Tu
31 October
Lec-18
Logistic Regression I
W
1 November
Due Lab-5
Th
2 November
Lec-19
Probability
Fri
3 November
11
M
6 November
Lab 6
Logistic Regression Lab
Release Lab-6; Due: HW-5
Tu
7 November
Lec-20
Finish Logistic + Intro to Hypothesis Testing
W
Due Lab-6
Th
9 November
Lec-21
Hypothesis testing via simulation
Fri
10 November
12
M
13 November
Lab 7
Project work day
Tu
14 November
Lec-22
Quantifying uncertainty
W
15 November
Due: Draft Report
Th
16 November
Lec-23
Talk more about Confidence Intervals
Release Exam 2
Fri
17 November
13
M
20 November
No Lab
Work on Exam 2
Due: Exam 2 11:59 PM
Tu
21 November
Lec-24
Customizing Quarto reports and presentations
Th
23 November
No Class
Fri
24 November
14
M
27 November
Lab
Peer Review
Peer Review Due
Tu
28 November
Lec-24
Communicating data science results effectively
W
Th
30 November
Lec-25
Work on project feedback day
Fri
1 December
15
M
4 December
Lab
Project Presentations
Tu
5 December
Lec-26
Open Office Hours (in-class)
Th
7 December
Lec-27
Interactive web apps with R and Shiny with Dr. Colin Rundel