This course provides an introduction to the basic topics of psychology including our three major areas of distribution: the biological basis of behavior, the cognitive basis of behavior, and individual and group bases of behavior. Topics include, but are not limited to, neuropsychology, learning, cognition, development, disorder, personality, and social psychology.

How do minds work? This course surveys a wide range of answers to this question from disciplines ranging from philosophy to neuroscience. The course devotes special attention to the use of simple computational and mathematical models. Topics include perception, learning, memory, decision making, and language. The course shows how the different views from the parent disciplines interact and identifies some common themes among the theories that have been proposed. The course pays particular attention to the distinctive role of computation in such theories and provides an introduction to some of the main directions of current research in the field. It is a requirement for the BA in Cognitive Science, the BAS in Computer and Cognitive Science, and the minor in Cognitive Science, and it is recommended for students taking the dual degree in Computer and Cognitive Science.

How do minds work? This course surveys a wide range of answers to this question from disciplines ranging from philosophy to neuroscience. The course devotes special attention to the use of simple computational and mathematical models. Topics include perception, learning, memory, decision making, and language. The course shows how the different views from the parent disciplines interact and identifies some common themes among the theories that have been proposed. The course pays particular attention to the distinctive role of computation in such theories and provides an introduction to some of the main directions of current research in the field. It is a requirement for the BA in Cognitive Science, the BAS in Computer and Cognitive Science, and the minor in Cognitive Science, and it is recommended for students taking the dual degree in Computer and Cognitive Science.

This is a semester-long research experience class on the analysis of data from clinical trials and epidemiological studies to better understand topics relevant to clinical psychology and mental health. The class will primarily focus on practical application of data analytic skills to understand psychological phenomenon, including analysis of existing clinical datasets using statistical analysis tools such as R

An introduction to the scientific study of humn memory, with a particular emphasis on the interplay between theory and experiment. Topics will include dual store models and the debate over short-term meory, recognition memory for items and associations, the role of time and context in memory formation and retrieval, theories of association, memory for sequences, the influence of prior knowledge on new learning, spatial and navigational memory, perceptual learning, classification and function learning, memory diorders, and developmental changes in memory function.

An applied graduate level course for students who have completed an undergraduate course in basic statistical methods. Covers two unrelated topics: loglinear and logit models for discrete data and nonparametric methods for nonnormal data. Emphasis is on practical methods of data analysis and their interpretation. Primarily for doctoral students in the managerial, behavioral, social and health sciences. Permission of instructor required to enroll.

The concepts of normality, abnormality, and psychopathology; symptom syndromes;theory and research in psychopathology and psychotherapy.

Topics vary each semester.

Choice of half or full course units each sem. covering a range of subjects and approaches in academic psychology.