I am teaching Intermediate Quantitative Methods in Fall 2016 (Wed 9-12) and Behavioral Econ/Game Theory and a new course, Data Visualization in R for Public Policy, in Spring 2017. Data Viz in R will be open to all students who have taken Intro to Quant and does NOT require any programming experience. The class will be structured as an introduction to programming in R. The prerequisite is enthusiasm and willingness to put in 3-4 hours into writing code every week.
I am also the director and instructor for GSPIA Math Camp. This is the quantitative methods bootcamp the week before the semester, capped with the Amazing Analytics Race where students pair up to solve a series of clues. As in previous years, the GSPIA Math Camp will take place the week before school starts: Wednesday-Thursday, August 24-25
How students in Fall 2010-2015 have applied the concepts from my classes into case studies.
Fall 2016 / Spring 2017 Hall of Fame:
- FA 16 Math Camp
August 24-25, 2016
TAs: Kexin Shu and Matthew Davenport
Amazing Analytics Race
Champion: Alicia Houser and Meghan Yost
1st runner up: Leona Xu and Elisabeth Benfield
2nd runner up: Anjali Martin and Celene Chavez, and (tie) Huiru Kang and Zhihan Zhang
- FA 16: Intermediate Quantitative Methods (PIA 2023 / 3000)
Wednesday, 9-12 in Room 3800.
TA: Erin Carbone
Top 2 research talks :
1. Xinyi Hang: Gender Differences in Education in China
2. Martina Gessell: Is Income Inequality Affected by Corruption? and (tie) Nicholas Langston: The Effect of Shall Carry Laws on Murder Rates
- SP 17: Game Theory and Behavioral Economics (PIA 2202)
Tuesday, 12-3 in Room 3800
Best case studies:
- SP 17: Data Visualization in R for Public Policy (PIA 2960)
Thursday, 12-3 in Room 3800