Class Time:
Monday 19:00-21:00
Wednesday (odd week only) 19:00-21:00

Location:
108, Business School

2024 Spring:

Section Week Date Day Topic Pre-class readings Assignment
01 1 02/19 M. Introduction and R tutorial
02 2 02/26 M. Data wrangling and quick plots
03 2 02/28 W. Review of statistic basics (I) [RS] p1-22
04 3 03/04 M. Review of statistic basics (II) [RS] p1-22 Assignment 01
05 4 03/11 M. Normal distribution
06 4 03/13 W. One-sample Z-test and t-test [RS] p28-51
07 5 03/18 M. Two-sample Z-test and t-test [RS] p28-51 Assignment 02
08 6 03/25 M. Paired sample t-test and confidence interval
09 6 03/27 W. Assumptions for t tests [RS] p58-106
10 7 04/01 M. One-way ANOVA [RS] p113-140 Assignment 03
11 8 04/08 M. Post-hoc test and Two-way ANOVA
12 8 04/10 W. Covariance and Pearson correlation test Assignment 04
13 9 04/15 M. Non-parametric tests [RS] p85-102
14 10 04/22 M. Simple linear regression (I) [RS] p176-198
15 10 04/24 W. Simple linear regression (II) [RS] p207-227
16 11 04/29 M. Multiple linear regression [RS] p237-261 Assignment 05
17 12 05/06 M. Logistic regression [RS] p601-622
18 12 05/08 W. Time series analysis (I) [SS] p1-33 77-144
19 13 05/13 M. Time series analysis (II) [SS] p1-33 77-144
- 14 05/20 M. Course review
- 14 05/22 W. Course exam
20 15 05/27 M. Plotting with R (I): ggplot2
21 16 06/03 M. Plotting with R (II): making maps
22 16 06/05 W. Making websites with R Markdown
- - TBD - Final project presentation (poster)