Teaching

Up coming & current courses


Syllabi and other information on my teaching

As an educator in social science, data science, and quantitative methods, my goal is to ground students in the full arc of empirical research: from data collection (e.g., surveys and sensors), through analysis (e.g., regression and descriptive statistics), to the presentation and interpretation of results. Students learn methods and statistics best through hands-on experience, so my courses emphasize concrete examples, written reports, problem sets, and presentations. I also help students engage critically and responsibly with emerging tools—including artificial intelligence and machine learning—both as objects of sociological study and as instruments for doing research.

My teaching centers on data science, artificial intelligence, demography, social network methods, and homelessness, and I have taught a range of statistics and sociology courses at the graduate and undergraduate levels.

Below is a list of courses I have taught, along with other teaching-related activities.


AI at the University of Washington

Data Science at the University of Washington

Demography at the University of Washington

Sociology

University of Washington

University of Minnesota

Statistics

University of Washington

University of Minnesota