Class Time:
Monday 16:20-18:10
Wednesday (odd week only) 19:00-21:00

Location:
420, Teaching Building #1

2025 Spring:

Section Week Date Day Topic Pre-class readings Assignment
01 1 02/17 M. Introduction and R tutorial
02 2 02/24 M. Data wrangling and quick plots
03 2 02/26 W. Review of statistic basics (I) [RS] p1-22
04 3 03/03 M. Review of statistic basics (II) [RS] p1-22 Assignment 01
05 4 03/10 M. Normal distribution
06 4 03/12 W. One-sample Z-test and t-test [RS] p28-51
07 5 03/17 M. Two-sample Z-test and t-test [RS] p28-51 Assignment 02
08 6 03/24 M. Paired sample t-test and confidence interval
09 6 03/26 W. Assumptions for t tests [RS] p58-106
10 7 03/31 M. One-way ANOVA [RS] p113-140 Assignment 03
11 8 04/07 M. Post-hoc test and Two-way ANOVA
12 8 04/09 W. Covariance and Pearson correlation test
13 9 04/14 M. Non-parametric tests [RS] p85-102 Assignment 04
14 10 04/21 M. Simple linear regression (I) [RS] p176-198
15 10 04/23 W. Simple linear regression (II) [RS] p207-227
16 11 04/28 M. Multiple linear regression [RS] p237-261 Assignment 05
17 12 05/07 W. Logistic regression [RS] p601-622
18 13 05/12 M. Time series analysis (I) [SS] p1-33 77-144
19 14 05/19 M. Time series analysis (II) [SS] p1-33 77-144
- 14 05/21 W. Course exam
20 15 05/26 M. Plotting with R (I): ggplot2
21 16 06/04 W. Plotting with R (II): making maps
- - TBD - Final project presentation (poster) Instructions Template