Teaching
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PSYC 109 - Introductory Statistics
Catalog Description: Introduces application of statistical principles and techniques to psychological research. Topics include descriptive and inferential statistics, significance testing, t-tests, analysis of variance, correlation and regression, and non-parametric tests. Required course for PSYC majors.
I know, statistics can be scary. I promise that I will do my best to make it fun and meaningful! This will be a hands-on, project-based class where you will practice running your own analyses in the R programming language. Imagine being able to answer questions such as “Which group has significantly stronger satisfaction scores?” or “Does year in school, age, and residence hall predict academic success?”
Fall 2026 Schedule: Tues/Thurs, 2:45pm-4:00pm
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PSYC 139 - The Science of Careers
This upper-level seminar introduces students to the major scientific theories, research methods, and real-world applications that shape career development and vocational psychology. Building on classic and contemporary literature, the course explores how individuals construct career identities, achieve success, and navigate work-life challenges across diverse contexts. Students will critically examine foundational models (e.g., person-environment fit, protean and boundaryless careers) and emerging perspectives that integrate social-justice lenses, emphasizing how society, culture, and equity influence career trajectories. The seminar combines scholarly inquiry with applied learning: students will read and discuss leading journal articles, write reflective essays applying course concepts to their own lives, interview working adults to inform their own career development, and develop novel research questions.
Prereq: PSYC 37 or permission from instructor. Counts as an elective for the PSYC major and for the Leadership Sequence (Breadth category).
This is a NEW course, so register early to secure your spot! For a preview of the syllabus (tentative draft; does not yet include course assignment details), click here.
Fall 2026 Schedule: Wed, 2:45pm-5:00pm
For general teaching resources such as video lectures in R and Tableau, visit the Teaching Resources page.