Schedule

Course schedule by week. Click for weekly details.

A typical weekly session will have three components:

  1. Lecture on reading materials and statistics. During the first hour, I will typically give a lecture to cover the major points of the week. I will also answer any of your questions.

  2. In class practice on empirical methods. We will solve problems and practice empirical methods in class.

  3. In class preparation and presentation. The last hour helps you prepare your replication project.

Week# Date Topic Due / After class
0 Before week of 2021/08/30 Pre-course materials
1 2021/08/30
2021/08/31		 Course introduction and replication Prepare articles for replications (n.g.)
2 2021/09/06
2021/09/07		 Building blocks of quantitative study Plagiarisms test (5 pts)
3 2021/09/13
2021/09/14		 Research design, data structure Learning plan proposal (draft; n.g.)
4 2021/09/20
2021/09/21		 Descriptive statistics Learning plan proposal (final; 5 pts)
5 2021/09/27
2021/09/28		 Probability and sampling
6 2021/10/04
2021/10/05		 Inferential statistics I Hypothesis testing
7 2021/10/11
2021/10/12		 Inferential statistics II - Population and testing difference Replication plan (draft; n.g.)
8 2021/10/18
2021/10/19		 Bivariate linear regression Replication plan presentation (5 pts)
9 2021/10/25
2021/10/26		 Multivariate regression Replication plan (final; 10 pts)
10 2021/11/01
2021/11/02		 Introduction to computational social science methods (TBD)
11 2021/11/08
2021/11/09		 Research design of mixed methods study and data collection (TBD) Complete customized learning (15 pts)
12 2021/11/15
2021/11/16		 Best practices of fieldwork for qualitative researchers (TBD) Replication report (draft; n.g.)
13 2021/11/22
2021/11/23		 Project consultation session (no class)
14 2021/11/29
2021/11/30		 Replication project presentation Presentation of replication (10 pts); verification report (10 pts); replication report (final, due the following week; 20 pts)