(Syllabus)

Day #: Date	Subject	Before class	Homework due (11:59 p.m.)
01: Th 9/3/26	Install R and RStudio IDE (or use posit Cloud) 1. R as a Calculator Demo of Quiz 1, online lecture	Read email Listen Quiz 1 Bring questions
02: Tu 9/8	2. Vector Discuss HW1	Most of Q1 Listen Q2	Quiz 1 (Q1) (extended to 9/15 to accommodate 9/11 add deadline) (login help)
03: Th 9/10	3. Vector (continued) and List Discuss HW2	Most of Q2 Most of HW1 Listen Q3	Q2 (extended to 9/15) hw1 (extended to 9/15)
04: Tu 9/15	4. Data Frame, Factor, Formula R Markdown (screencast)	Most of Q3 Listen Q4	Q3
05: Th 9/17	5. (Base) Graphics Discuss HW3 (first listen to RMarkdown, above)	Most of Q4 Most of HW2 Listen Q5	Q4 hw2 (submit via Canvas; no auto-grade)
06: Tu 9/22	FYI from STAT department: STAT certificate 6. Statistical Tests and Confidence Intervals	Most of Q5 Listen Q6	Q5
07: Th 9/24	7. Regression Discuss HW4	Most of Q6 Most of HW3 Listen Q7	Q6 hw3 (submit hw3.Rmd and hw3.html via Canvas)
08: Tu 9/29	8. Simulation	Most of Q7 Listen Q8 Most of HW4 Most of Q8	Q7 hw4 (submit hw4.Rmd and hw4.html via Canvas) We 9/30: Q8
09: Th 10/1	Exam (rules)	Study for exam	Exam