Course # 31102 Section Number 4 Day(s) M- W Time(s) 10:30am-11:50am Term Winter 2026 Course Instructor Austin Wright Syllabus Syllabus 12/11/24 Must be a Harris masters student to enroll. No exceptions for non-Harris students, even by consent. This course is a continuation of PPHA 31002, focusing on the statistical concepts and tools used to study the association between variables. This course will introduce students to regression analysis and explore its uses in policy analysis. Notes Students must register separately for both a lecture (PPHA 31102) and a discussion (PPHA 31104). Attendance at discussions is optional but encouraged for this course (unless there is a scheduled assessment, in which case attendance is mandatory). Course Prerequisite Must be a Harris masters student to enroll. Course Sections Quarter Course # Title Instructor Day(s) Time(s) Syllabus Winter 2026 PPHA 31102/1 Statistics for Data Analysis II: Regressions Dmitri Koustas Monday, Wednesday 9:00am-10:20am Syllabus Winter 2026 PPHA 31102/2 Statistics for Data Analysis II: Regressions Austin Wright Monday, Wednesday 9:00am-10:20am Syllabus Winter 2026 PPHA 31102/3 Statistics for Data Analysis II: Regressions Dmitri Koustas Monday, Wednesday 10:30am-11:50am Syllabus Winter 2026 PPHA 31102/4 Statistics for Data Analysis II: Regressions Austin Wright Monday, Wednesday 10:30am-11:50am Syllabus Winter 2026 PPHA 31102/5 Statistics for Data Analysis II: Regressions Ingvil Gaarder Monday, Wednesday 1:30pm-2:50pm Syllabus Winter 2026 PPHA 31102/6 Statistics for Data Analysis II: Regressions Ingvil Gaarder Monday, Wednesday 3:00pm-4:20pm Syllabus Recent News More news New Book by Cyber Policy Initiative's Jake Braun on America’s Secret Fentanyl War Against the Sinaloa Cartel, Chinese Accomplices Thu., October 30, 2025 ‘A Force Multiplier’ Wed., October 29, 2025 The Hidden Volatility of American Paychecks Mon., October 27, 2025 Upcoming Events More events Writing Workshop with David Chrisinger Mon., November 03, 2025 | 9:00 AM Drop-in with a Director Tue., November 04, 2025 | 9:00 AM Get to Know Harris! Virtual Info Session for Fair Attendees Tue., November 04, 2025 | 11:30 AM