This is a course that I'm currently teaching in the Fall 2020 semester. It combines the principles of social scientific research with applications in big data and computational social science. You can view the course syllabus here.
I served as TA for the Introductory & Advanced Network Analysis courses at the ICPSR Summer Program in 2019 and 2020. These were opportunities to interact with students, mostly graduate students, with backgrounds in different disciplines and academic traditions. The introductory course focuses on the basics of visualization in networks, descriptive and exploratary network analysis, collecting network data and research design. The focus in the advanced course was inferential network analysis, including exponential random graph models and its varieties, stochastic actor oriented models, local structure graph models, and their implementation in R.
I served as TA for the Scientific Study of Politics (PLSC 10) course at Penn State in the Fall 2019 semester. The course introduced students to approaches to and basic concepts in the study of politics, such as hypotheses, experiments, surveys, the use of big data, formal modeling, among others.