Lower-Division

Introduces prospective majors to the scientific study of behavior and mental processes and also provides an overview for non-majors. Emphasizes social, cognitive, developmental, and personality psychology and their interrelations.

An introduction to elementary statistical principles and techniques relevant to psychological research. Topics covered include basic parametric and nonparametric statistics, analysis of variance, and simple factorial designs. This course is prerequisite to PSYC 181.

Addresses psychological development from conception through adolescence. Provides an overview of developmental psychology.

Introduces basic concepts in cognitive psychology with a focus on theoretical explanations of cognitive functioning. Topics include perception, attention, memory, concepts, language, visual cognition, executive functions, and reasoning processes. (Formerly course 20A.)

An analysis of contemporary research in social psychology and of what that research can teach us about the world we live in. Problems of conformity, propaganda, prejudice, attraction, and aggression. Focuses on a person's relationship with other people, how he or she influences them and is influenced by them.

Provides an opportunity to explore the science of human sexuality in a formal educational space. Covers such topics as variations of sexual behavior (what counts as sex), representations of sex (what we see in accessible media), motivations and sexual desire (why we have sex), sexual fantasies (what kind of sex we desire), sexual development (from both biological and psychological perspectives), sexual anatomy and arousal, sexual orientation and sexual identity, relationships and intimacy, sexual violence and dysfunction, reproductive justice, and diversity of sexuality across history and culture.

Students learn with a team of experts about the principles for ethical AI and data science in various contexts. In addition, they become familiar with facets of the impact on real-world situations, grow the capacity to propose novel approaches for ethical decision-making in data science for the public good, and reflect on the role of data use and AI in shaping society, identity, and power relations.