Quantitative Methods and Data Analysis
This is an advanced-level course on quantitative empirical methods for undergraduate students who have completed an introductory-level course. The course will provide students with opportunities to develop understanding of theoretical foundations and various methods for causal inference. In addition, it will provide an introduction to statistical computing language, R, which has become increasingly popular among social scientists, policy experts, and data analysts. The course will also be a good preparation for those students who wish to further pursue quantitative methods at graduate level in the future.
POL232H1 or 0.5 credit in STA at the 200+ level
January 26, 2023
Congratulations to our 2021/22 undergraduate award & scholarship recipients! Following a two-year hiatus, the department was delighted to return to hosting our undergraduate awards in-person this year to celebrate our...
June 3, 2021
In a bid to motivate her students in what has been a very difficult academic year, Professor Rebecca Kingston decided to give those enrolled in the winter 2021 term of...
May 21, 2020
Congratulations to undergraduate student Cheryl Cheung who has received a University of Toronto Excellence Award (UTEA). Going into her third year majoring in political science, with minors in visual studies...
January 29, 2020
Congratulations to all our amazing undergraduate students who picked up one the department’s twenty-three awards and scholarships at our annual undergraduate awards ceremony. In attendance were Dean of Arts &...