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161 - 170 of 217 results for: PSYCH

PSYCH 245: Social Psychological Perspectives on Stereotyping and Prejudice

Classic and contemporary social psychological approaches to prejudice and stereotyping. Emphasis is on how stereotypes are employed and maintained, and the influence of stereotyping and prejudice on behavior in domains including education, employment, politics, and law. Limited enrollment.
Last offered: Spring 2013

PSYCH 246: Cognitive and Neuroscience Friday Seminar

Participant presentations. May be repeated for credit. Prerequisite: graduate standing in psychology or neuroscience program.
Terms: Aut, Win, Spr | Units: 1 | Repeatable for credit
Instructors: Wagner, A. (PI)

PSYCH 247: Fundamentals of Neuroscience for Non-Life-Scientists

Human behavior and the human brain and how it enables perception, learning, decision making, planning, and action with a focus on how neuroscience may be presented or used in law, business, or education contexts. Neurotechnology and experimental methods used to conduct research.
Last offered: Winter 2009

PSYCH 248: Reproducibility in Scientific Research

This seminar will discuss the ongoing reproducibility crisis in science and explore computational approaches to help enhance reproducibility. Topics will include null-hypothesis testing versus Bayesian approaches, statistical power, replication, cross-validation, and reproducible coding practices. In-class exercises will focus on computing practices such as version control, unit testing and validation, literate programming, and code reviews.
Last offered: Spring 2015

PSYCH 249: Human Motivation

Current research and theory including questions concerning the nature of human motives, intrinsic motivation, self-regulation, the roles of affect and cognition, and lifespan and cultural influences on motivation. Prerequisite: 207 or consent of instructors.
Last offered: Spring 2012

PSYCH 249L: Workshop on Language and Social Reasoning (LINGUIST 249L)

To what extent can language use be treated as a special case of social cognition? The class will be based around visiting lectures by major researchers in this area, along with meetings to prepare for their visits by discussing key readings. May be repeated for credit.
Terms: Aut, Win | Units: 1 | Repeatable 6 times (up to 6 units total)
Instructors: Lassiter, D. (PI)

PSYCH 250: High-Level Vision: Object Representation (CS 431)

(Formerly CS423 High-Level Vision: Behaviors, Neurons, and Computational Models) Interdisciplinary seminar focusing on understanding how computations in the brain enable rapid and efficient object perception. Covers topics from multiple perspectives drawing on recent research in Psychology, Neuroscience, Computer Science and Applied Statistics. Emphasis on discussing recent empirical findings, methods and theoretical debates in the field. Topics include: theories of object perception, neural computations underlying invariant object perception, how visual exemplars and categories are represented in the brain, what information is present in distributed activations across neural populations and how it relates to object perception, what modern statistical and analytical tools there are for multi-variate analysis of brain activations.
Last offered: Spring 2014

PSYCH 251: Affective Neuroscience

Theory and research. Comparative and human research approaches map affective function to neuroanatomical and neurochemical substrates. Prerequisite: consent of instructor.
Terms: Spr | Units: 3

PSYCH 252: Statistical Methods for Behavioral and Social Sciences

For students who seek experience and advanced training in empirical research. Analysis of data from experimental through factorial designs, randomized blocks, repeated measures; regression methods through multiple regression, model building, analysis of covariance; categorical data analysis through two-way tables. Integrated with the use of statistical computing packages. Prerequisite: 10 or equivalent.
Terms: Aut | Units: 1-6

PSYCH 253: Statistical Theory, Models, and Methodology

Practical and theoretical advanced data analytic techniques such as loglinear models, signal detection, meta-analysis, logistic regression, reliability theory, and factor analysis. Prerequisite: 252 or EDUC 257.
Terms: Spr | Units: 3
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