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