As a postdoctoral teaching scholar at NC State University, I teach graduate and undergraduate courses in methods, theory, and religion, as well as an introductory sociology course.
Instructor
Graduate-level seminar on the classical works in sociological theory, including Marx, Weber, Durkheim, Du Bois, Simmel, and Mead. The course emphasizes the theoretical perspectives that underpin classical works to provide students with a “theoretical toolkit” to theorize social phenomena and understand contemporary work.
Instructor
Introduction to the sociological approach to studying religion, with a particular emphasis on religion in the United States. During the course, students learn about the religious diversity of the United States, patterns of religious change over the life course, the organization of religion, and the association between religion and other forms of social division. As part of the class, students learn to conduct fieldwork by visiting and observing local religious organizations.
Instructor
A hands-on introduction to research methods in the social science, including survey research, participant observation, interviewing, and computational approaches. Throughout the course, students work together to answer a research question of general interest to undergraduates. Laboratory sections introduce students to statistical programming tools.
Instructor
An introduction to the principles and methods of sociology. Introduces students to the “sociological imagination,” stuctural and cultural explanations of social phenomena, and inequalities in contemporary society.
Instructor
This course serves to introduce undergraduate sociology majors to quantitative approaches in the social science. Topics include probability and statistics, sampling and inference, linear and multiple regression, and writing about quantiative results. Over the course of the class, students designed a research project, outlined testable hypotheses, found relevant data sources, and conducted analyses.
Lab instructor
This course is the first in a two-semester sequence in statistical methods required for all first-year graduate students in the sociology department. The course covers probability and statistics, hypothesis testing, linear regression, multiple regression, maximum likelihood estimation, generalized linear models, model diagnostics, and model selection. As lab instructor, I led a two-and-a-half hour section that reinforced and extended the main topics of the course, instructed students in statistical software, and highlighted topics not covered in the main lectures.
Lab instructor
This course is the second of a two-semester sequence for first-year graduate students. Topics included causal inference, matching and weighting, instrumental variables, panel data, multi-level models, and Bayesian approaches. As lab instructor, I led a two-and-a-half hour section that reinforced and extended the main topics of the course, instructed students in statistical software, and highlighted topics not covered in the main lectures.
Teaching assistant
Teaching assistant