Students must have completed PPHA 31102 Statistics for Data Analysis II or equivalent to enroll. The goal of the class is to familiarize students with principles and methods of program evaluation. The lectures will cover a mix of theory and applications; the problem sets will involve extensive data analysis and a fair bit of coding. The objective is for students to be able to evaluate program evaluation reports written by others and carry out basic program evaluations themselves.
This section will have an International Development focus. Attendance at discussion sessions is optional for this class.
Students must take one of the following: PPHA 31102 or 31300 or 31302 or 42100.
Quarter | Title | Instructor | Day(s) | Time(s) | Syllabus |
---|---|---|---|---|---|
Spring 2025 | Program Evaluation | Fiona Burlig | Tuesday, Thursday | 9:30am-10:50am | Syllabus |
Spring 2025 | Program Evaluation | Fiona Burlig | Tuesday, Thursday | 11:00am-12:20pm | Syllabus |
Spring 2025 | Program Evaluation | Fiona Burlig | Tuesday, Thursday | 2:00pm-3:20pm | Syllabus |
Fall 2024 | Program Evaluation | Erin Kelley | Monday, Wednesday | 9:00am-10:20am | Syllabus |