Teaching

One of my favorite things about grad school is the opportunity to teach. Courses in reverse chronological order.

2025

  1. University of Washington Sociology
    SOC 225 Data and Society (undergraduate)
    Instructor: Dr. Zack W. Almquist
    Teaching Assistant: Adam Visokay
    Autumn 2025. Social implications of the digital revolution, including ethical issues associated with algorithmic design and privacy. Discusses data science as a new occupation that uses data to understand or influence people's behavior. Students use a sociological lens to explore how our increasingly digital lifestyle changes institutions and social relations.

2024

  1. University of Washington Statistics
    STAT 221 Statistical Concepts and Methods for the Social Sciences (undergraduate)
    Instructor: Dr. William Brown
    Teaching Assistant: Adam Visokay
    Fall 2024. Develops statistical literacy. Examines objectives and pitfalls of statistical studies; study designs, data analysis, inference; graphical and numerical summaries of numerical and categorical data; correlation and regression; estimation, confidence intervals, and significance tests. Emphasizes social science examples and cases.
    Syllabus
  2. CSSS Math Camp
    Math Camp: Center for Statistics and the Social Sciences (graduate)
    Instructors: Adam Visokay and Jessica P. Kunke
    Summer 2024. Algebra, functions, matrix algebra, calculus, probability distributions, and an introduction to statistics and maximum likelihood.
    Syllabus
  3. University of Washington Sociology
    SOC 110 Survey of Sociology (undergraduate)
    Instructor: Dr. Rosalind Kicheler
    Teaching Assistant: Adam Visokay
    Spring 2024. Human interaction, social institutions, social stratification, socialization, deviance, social control, and social and cultural change.
    Syllabus
  4. University of Washington Statistics
    STAT 221 Statistical Concepts and Methods for the Social Sciences (undergraduate)
    Instructor: Dr. Emanuela Furfaro
    Teaching Assistant: Adam Visokay
    Winter 2024. Develops statistical literacy. Examines objectives and pitfalls of statistical studies; study designs, data analysis, inference; graphical and numerical summaries of numerical and categorical data; correlation and regression; estimation, confidence intervals, and significance tests. Emphasizes social science examples and cases.
    Syllabus