Courses Taught (Stanford University)

• Approaches to Studying Political Science (Political Science 420A)
• The Politics of Communication (Political Science 24N)
• American Political Institutions (Political Science 120C)
• Political Methodology I (Political Science 350a, 150a; Public Policy 303a)

Lecture Notes

• Texts as Data (Political Science 452)

Course Material: Political Science 452

• Course Syllabus
• A Guide to R (courtesy of Brandon Stewart)
• Class 1: Finding Text Data

Lecture Notes
Python Code: Scraping Paul Tonko's Website 
How to Mturk: Amazon Guide 

• Class 2: Representing Text Quantitatively

Lecture Notes
Python Code: Split a Lexis Doc  Scrape Signing Statements Gettysburg
R Code: Open Ended Responses

• Class 3: Dictionary Methods

Lecture Notes
R Code:  Preprocessing Text with Undergrad

• Class 4: Separating Words

Lecture Notes

• Class 5: Vector Space Model

Lecture Notes

• Class 6: Clustering 

Lecture Notes

• Class 7: Topic Models

Lecture Notes

• Class 8: Supervised Learning 

Lecture Notes
Example Coding Protocol

• Class 9: SVMs, Ensembles, and Scaling

Lecture Notes

Courses Taught (Graduate Student)

• Gov 2001: Advanced Quantitative Methodology (Gary King), Spring 2007 
• Gov 1524: Agenda Setting in Congress (Matthew Platt), Spring 2009  
• Gov 2010: Quantitative and Qualitative Research Design (Nahomi Ichino and Adam Glynn), Spring 2010
• Supervisor for summer intern, directing projects on partisan rancor in Congress (Summer 2009)

Lecture Notes

Gov 2010: Concepts, Measurement and Description