Class Time:
Monday 16:20-18:10
Wednesday (odd week only) 19:00-20:50

Location:
221, Teaching Building #1

2026 Spring:

Section Date Day Topic Pre-class readings Assignment
01 02/28 Sat. Introduction and R tutorial
02 03/02 M. Data wrangling and quick plots
03 03/04 W. Review of statistic basics (I) [RS] p1-22
04 03/09 M. Review of statistic basics (II) [RS] p1-22 Assignment 01
05 03/16 M. Normal distribution
06 03/18 W. One-sample Z-test and t-test [RS] p28-51
07 03/23 M. Two-sample Z-test and t-test [RS] p28-51 Assignment 02
08 03/30 M. Paired sample t-test and confidence interval
09 04/01 W. Assumptions for t tests [RS] p58-106
10 04/13 M. One-way ANOVA [RS] p113-140 Assignment 03
11 04/15 W. Post-hoc test and Two-way ANOVA
12 04/20 M. Covariance and Pearson correlation test
13 04/27 M. Non-parametric tests [RS] p85-102 Assignment 04
14 04/29 W. Simple linear regression (I) [RS] p176-198
15 05/11 M. Simple linear regression (II) [RS] p207-227
16 05/13 W. Multiple linear regression [RS] p237-261 Assignment 05
17 05/18 M. Logistic regression [RS] p601-622
18 05/25 M. Plotting with R (I): ggplot2
- 05/27 W. Course test
19 06/01 M. Plotting with R (II): making maps
- TBD - Final project presentation (poster) Instructions Template

Supplements:

Section Topic Pre-class readings
01 Time series analysis (I) [SS] p1-33 77-144
02 Time series analysis (II) [SS] p1-33 77-144