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
class_slides
lab_slides
ae_sa
hw
hw_sa
lab
lab_sa
exam
project
notes
1
M
W
17 May
Lec-1
Welcome to R & GitHub;
Expectations; Tips to be Successful
Th
18 May
Lec-2; Lab-0
Exploratory data analysis I | Connecting R with Git Lab
2
M
22 May
Lec-3; Lab-1
Exploratory data analysis II + Intro to Data Wrangling | Data Visualization
HW 1 Release; Lab-0 Due
Tu
23 May
Lec-4
Data wrangling I
Th
25 May
Lec-5; Lab-2
Data wrangling II + Tidying Data | Group Formation + Data Wrangling
Lab-1 Due
3
M
29 May
Holiday
Memorial holiday: No classes are held
HW 1 Due; HW 2 Release
Tu
30 May
Lec-7
ggplot practice + debugging practice
W
Th
1 June
Lec-8; Lab-3; Exam-1
Merge conflicts + The Language of Models; Project Work Day
HW 2 Due; Release Exam 1
4
M
5 June
Lec-9; Lab-4
Research Questions + Simple Linear Regression
Exam-1 Due
Tu
6 June
Lec-10
Multiple Linear Regression I
HW 3 Release; Start Project
Th
8 June
Lec-11;
Finish MLR + Logistic Regression; Project Work Day