Skip over navigation

Course Offerings

Course Evaluation Results

Course Details

Spring 2017-2018
* POL 346 (QR)   Graded A-F, P/D/F, Audit

Applied Quantitative Analysis

Omar Wasow

In a world awash in data, how can we identify signals amid the noise? This course focuses on developing an intuition for statistics and applying it through data analysis, regression models and a final project. We will wrestle with what makes a good research question, play with data to see how statistical methods can help us make sense of real world concerns, and work at communicating quantitative findings clearly to broad audiences. Particular attention will be paid to applying these techniques in Junior Papers and Senior Theses. Coursework involves using the R statistical platform.

Sample reading list:
Fred Ramsay and Daniel Schafer, The Statistical Sleuth: A Course in Methods of Data Analysis

Reading/Writing assignments:
Students should expect to read 25-35 pages per week as well as to complete regular weekly problem sets and a final paper analyzing a dataset of the student's choice.

Requirements/Grading:
Paper in lieu of Final - 25%
Take Home Mid term Exam - 15%
Papers - 20%
Class/Precept Participation - 10%
Problem set(s) - 30%

Other Requirements:
Statistical, design or other software use required

Prerequisites and Restrictions:
POL 345 or equivalent.

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
41914 L01 3:30 pm - 4:20 pm M W        Enrolled:68 Limit:
41915 P99 TBA        Enrolled:68 Limit: