181 - 187 of 187 results for: PSYCH

Primary tool use for psychologists: basics of experiment design; computer-based experiments; web-based experiments; data analysis packages and data presentation; exploratory statistics; eye-tracking methods; psychophysiology methods; survey construction; corpus and discourse analysis; and perhaps hypnosis. Prerequisite: Ph.D. student in Psychology.

Open to graduate students and advanced undergraduates. Principles of good teaching. Students practice teaching skills.

How did language evolve to become a ubiquitous, definitional part of human life? What relationship does children's early language have to their understanding of intentionality and other methods of non-verbal communication? This seminar will survey theoretical and experimental nwork on the foundations of human language, communication, and intentionality, with the goal of understanding what we know and what questions are still open. Areas of focus include developmental work on communication; whether early language use is referential/intentional and whether early words are general or particular; and research on language evolution and animal communication.

Human beings engage in a vast amount of prosocial behaviors (including altruism and cooperation) that critically support our success as a social species. That said, the psychological underpinnings of prosociality remain surprisingly enigmatic. This seminar will survey classic and modern theories of prosocial behavior from evolutionary biology, economics, psychology, and neuroscience, with an emphasis on common ideas about the cognitive and affective mechanisms supporting such behaviors. Students will be responsible for leading discussions and producing one in-depth review or research paper at the end of the quarter.

This course introduces the student to cognitive modeling from a Bayesian statistical approach. The goal of the course is to facilitate and promote Bayesian fitting for a large variety of latent cognitive models to data through the use of accessible computer software. Within particular cognitive models, students will learn how to first construct a basic model, and then add various effects such as individual or group differences, substantive prior information, covariates, and contaminant processes. Along the way, students will gain a better understanding of the many advantages of Bayesian statistics over frequentist-type analyses. A strong statistical or computer science background is not required.

(Graduate students register for 299.) Why do people do things that that they come to regret? How can people minimize behavior such as exercise avoidance, angry words, overeating, unsafe sex, and dangerous driving? Sources include classical and current research from experimental psychology, neuroscience, behavioral economics, and neuroeconomics. Real-world applications.