This course explores the process of human development, from conception through adolescence and continuing through later adulthood. The developmental approach integrates across many areas of psychology, including perception, cognition, social and emotional development, personality, morality, human factors, and neuroscience. Topics will include such things as infant brain plasticity, the development of identity in adolescence, and memory changes in adulthood. In addition, experimental methods of developmental research will be introduced and practiced, including issues specific to studying children and adults.

This course is intended for students in the psychology major to integrate material covered in earlier courses and examine broad topics in Psychology. The specific topics covered will vary from semester to semester. This course is an opportunity for faculty and students to examine issues that transcend sub-disciplines in psychology. Students will read original research and examine influential theories relevant to the topic.

This course introduces students to more advanced inferential parametric and non-parametric data-analysis techniques commonly used in psychological research, but not covered (or not covered in depth) in the Graduate Statistics course. These techniques may include, but are not limited to: Reliability Analysis, Multiple Regression, Discriminant Analysis, Logistic Regression, Factor Analysis, Analysis of Covariance, Multivariate Analysis of Variance, Contrast Analysis, Mediator and Moderator Variable Analysis, Non-Parametric Tests, and Multi-level Modeling. The focus is on the conceptual understanding of these statistics, how different statistical procedures are applied in different research methods, how to perform analyses, how to interpret the results in the context of the research question, and how to communicate these results.