QuantII FA15

How I teach: my approach to math is intuitive and experiential — you will be doing a lot of in-class activities. We go pretty far “under the hood” to understand how theory works but will always return to applications. We will often partner with one or more clients from the local community. You will work extensively on a project of your choosing. Click here to see students’ topics from previous years.


  • Intermediate Quantitative Methods
  • Behavioral Economics and Game Theory
  • Data Visualization in R for Public Policy Capstone
      Email me for a sample syllabus. Sample of students’ work: NASPAA presentation, Link 1, Link 2.
      No programming background assumed — we start from scratch.
      Prerequisite: Introduction to Quantitative Methods.
  • Math Camp (and the Amazing Analytics Race!)
      Sample Syllabus. Race: photos.
      This is the quantitative methods bootcamp the week before the semester, capped with a game (with real prizes) where you will be randomly paired to solve a series of clues. If you are starting your graduate career in GSPIA and have forgotten your slopes and logarithms or have never used STATA, this bootcamp is for you. Conversely, if you know what a differential equation is and crunch data for a living, this camp is NOT for you.

  • A sampling of previous clients in our classrooms:

    • Allegheny County Department of Human Services
    • City of Pittsburgh Office of Innovation and Performance
    • Western Pennsylvania Regional Data Center
    • Three Rivers Workforce Investment Board
    • Alleghany College of Maryland
    • Glovico.org