Spring 2020 - POL 315 D100
Intermediate Quantitative Methods (4)
Class Number: 5247
Delivery Method: In Person
Course Times + Location:
Tu, Th 10:30 AM – 12:20 PM
AQ 2104, Burnaby
Exam Times + Location:
Apr 16, 2020
6:31 PM – 6:59 PM
TAKE HOME-EXAM, Burnaby
Prerequisites:POL 201 or permission of instructor.
Introduces intermediate quantitative methods and data analysis. Teaches students how to build statistical models and apply them to social and political research. Also covers the fundamentals of probability, sampling, and causal inference; students will learns how to conduct their own data-driven research. Quantitative.
COURSE-LEVEL EDUCATIONAL GOALS:
We will be using RStudio as our primary tool for statistical computing. Students should be familiar with the RStudio environment, but we will review and reinforce this material throughout the term. We will also have an introduction to STATA.
- Students will be graded on the basis of the following weighted combination:
- Lab Quizzes and exercises 15%
- In-Class Exams (2) 20%
- Take Home Exam 30%
- Homework 35%
Jeffrey M. Wooldridge. Introductory Econometrics: A Modern Approach. 7th edition. Cengage Learning
Department Undergraduate Notes:
SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the University community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS