Develops skills in processing neural data and analyzing its relationship to stimulus or motor activity. Topics include information theory, receptive fields, point processes, and mixed-effects models. Emphasis is on implementing theoretical concepts with computer programs. Prerequisite: instructor permission.

This course will survey contemporary research and theory in affective science. We will examine the origins, functions, and behavioral and social consequences of emotions, paying particular attention to cross-cultural and cross-species evidence.

Analyzes current theory and research in social and personality developments from infancy through adolescence. Prerequisite: Instructor permission.

This course will provide a broad overview of neuroscientific research into social relationships. The field is relatively new, and changing quickly. After a brief review of the neuroscientific methods we are likely to encounter in this literature, the course will be oriented toward readings and discussion, with brief research proposals presented at the end. PSYC 2200 or BIOL 3050 recommended.

This course is designed to introduce you to the concepts of item response theory (IRT) models and their application to substantive psychological problems in measurement, such as test and scale design and analysis. Prerequisite: Undergraduates must have taken Psyc 3005 and 3006 OR 4005 and 4006. Grads must have taken Psyc 7710. Instructor consent required.

In this course we will investigate how historical and social contexts of different types of inequality inform individual¿s psychological processes. Further, we will discuss how these psychological processes may, in turn, exacerbate or mitigate inequality.

This course is designed to introduce the statistical language R, with the purpose of preparing students to use and apply quantitative methods in their future psychology research. Topics may include handling data structures, cleaning data, visualizing and presenting data, and reviewing introductory statistics using R. At least 1-2 semesters of previous formal programming experience required (i.e., CS1110 or PSYC 3310).

Group Process and Facilitation is a 2-semester, 4- or 5-credit course sequence. In semester 1, students learn background knowledge and skills related to: advanced reflective listening, group processes and management, leadership and facilitation. Students also participate in their own Hoos Connected group. In semester 2, students are eligible to co-facilitate 1-2 Hoos Connected group(s) and also receive weekly group supervision.

This course provides the opportunity to offer a new topic in the subject area of psychology.

This course covers R programming, linear models focused on analyzing COVID-19 data and advanced regression analytical tools applied to understanding COVID-19-related effects on well-being.  Students will learn how to produce visualization plots of data with RStudio and Shiny Apps.  Group work entails creating a data analysis report summarizing their empirical findings. Prerequisites: Intro statistics course and any R statistical software course.