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
ae_sa
hw
hw_sa
lab
lab_sa
exam
project
notes
1
M
Aug 29
Lab
No lab
T
Aug 30
Lec 1
Welcome to STA 199
Th
Sep 1
Lec 2
Meet the toolkit
2
M
Sep 5
Lab 0
Hello R!
Release: Lab 0
T
Sep 6
Lec 3
Grammar of graphics
Th
Sep 8
Lec 4
Visualizing various types of data
Release: HW 1
F
Sep 9
Due: Lab 0 + AE 1
Su
Sep 11
Due: AE 2
3
M
Sep 12
Lab 1
Data visualization
Release: Lab 1
T
Sep 13
Lec 5
Grammar of data wrangling
Th
Sep 15
Lec 6
Working with multiple data frames
Due: HW 1 / Release: HW 2
F
Sep 16
Due: Lab 1
4
M
Sep 19
Lab 2
Data wrangling
Release: Lab 2
T
Sep 20
Lec 7
Tidying data
Th
Sep 22
Lec 8
Data types and classes
Due HW 2
F
Sep 23
Due: Lab 2
5
M
Sep 26
Lab 3
Data tidying
Release: Lab 3
T
Sep 27
Lec 9
Importing and recoding data
Th
Sep 29
Lec 10
Exam 1 Review
Release: Exam 1 at 12pm
F
Sep 30
Due: Lab 3
6
M
Oct 3
Lab
No lab - Work on Exam 1
Due: Exam 1 at 2pm
T
Oct 4
Lec 11
Data science ethics - Misrepresentation
Th
Oct 6
Lec 12
Data science ethics - Algorithmic bias + data privacy
Release: HW 3
7
M
Oct 10
Lab
No lab - Fall break
T
Oct 11
Lecture
No Lec - Fall break
Th
Oct 13
Lec 13
Web scraping
Due: HW 3
8
M
Oct 17
Lab
Work on project proposal
T
Oct 18
Lec 14
Functions + iteration
Th
Oct 20
Lec 15
The language of models
F
Oct 21
Due: Project proposal
9
M
Oct 24
Lab 4
Probability + Simpson's Paradox
Release: Lab 4
T
Oct 25
Lec 16
Models with a single predictor
Th
Oct 27
Lec 17
Models with multiple predictors
Release: HW 4
F
Oct 28
Due: Lab 4
10
M
Oct 31
Lab 5
Predicting a numerical outcome
Release: Lab 5
T
Nov 1
Lec 18
Models with multiple predictors + Overfitting
Th
Nov 3
Lec 19
Logistic regression
Due: HW 4 / Release: HW 5
F
Nov 4
Due: Lab 5 / Release: HW 6
S
Nov 5
Due: Team peer evaluations 1
11
M
Nov 7
Lab
Work on project draft
T
Nov 8
Lec 20
Quantifying uncertainty with bootstrap intervals
Th
Nov 10
Lec 21
Hypothesis testing via simulation
Due: HW 5
F
Nov 11
Due: Project draft 1
12
M
Nov 14
Lab 6
Prediction + Bootstrapping
Release: Lab 6
T
Nov 15
Lec 22
Inference overview
Th
Nov 17
Lec 23
Exam 2 Review
Release: Exam 2 at 12pm
F
Nov 18
Due: Lab 6
13
M
Nov 21
Lab
No lab - Work on Exam 2
Due: Exam 2 at 2pm
T
Nov 22
Lec 24
No lecture - Work on projects
Th
Nov 24
Lecture
No lecture - Thanksgiving
F
Nov 25
Release: Exam retake (optional)
Su
Nov 27
Due: Project draft 2 (optional)
14
M
Nov 28
Lab
Work on project peer review
Due: Project peer review
T
Nov 29
Lec 25
Communicating data science results effectively
Due: Team peer evaluations 2
Th
Dec 1
Lec 26
Customizing Quarto reports and presentations
15
M
Dec 5
Lab
Project presentations
T
Dec 6
Lec 25
Looking further: Text analysis
Th
Dec 8
Lec 26
Looking further: Interactive web applications with Shiny