This course will build on students' general knowledge of Neuroscience topics and aim to achieve a deeper understanding of the fundamental principles of Neuroscience. Topics covered: (1) cell biological and electrical properties of the neuron; (2) synaptic transmission and synaptic plasticity; (3) transduction of physical stimuli and processing of sensory information; and (4) development and evolution and the nervous system.

This course introduces the biological, cognitive, and social development of the child. As we consider specific topics in child development, such as language development, emotional development, and childhood disabilities, we will consider how specific findings in child development research can answer bigger questions about the nature of human development and how to create a world in which children can grow and thrive.  Prerequisite: PSYC 1010 strongly recommended, but not required.

Seminars on special and current topics in psychology.

Introduces psychopathology with a focus on specific forms of abnormal behavior: depression, schizophrenia, anxiety disorders, substance use disorders, and personality disorders. Prerequisites: None.

Learning, Emotions and Motivation will be explored from animal models of clinical conditions, historical case studies in humans of brain-derived emotional disturbances, and current innovations to treat brain disorders. These important discoveries will be presented for students to understand underlying biological and neural mechanisms that mediate adaptive changes to motivate healthy behavior.

Human neuroimaging technologies and analytics methods enable exploration of the form, function, and connectivity of the living brain. Students will gain familiarity with the origins of brain imaging using magnetic resonance imaging (MRI), be able to discuss the technical foundations of image reconstruction, view and process raw neuroimaging structural and time-series data, and make inferences about the brain in health and in disease.PSYC 4200 or PSYC 5265 recommended. Some background in coding using Matlab, R or Python is recommended. Other majors with Instructor's Permission.

This course aims to discuss the state-of-the-art in the large field of cognitive aging and the main lifespan predictors that lead to healthy aging.

Topical Offerings in Psychology

Course covers the foundations of psychology & statistical techniques used in behavioral science, in particular foundations of traditional statistical testing, R programming, modern statistical testing using bootstrapping & resampling, & very basic introduction to Factor Analysis & applications of information theory. The course has 3 lecture hours & 2 lab hours that teaches computational aspects of the course in R. Basic training in R required.

This seminar provides an overview of the cognitive perspective in accounting for thought (e.g., varieties of representation) as well as particular cognitive processes (e.g., attention, memory).