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21 - 30 of 42 results for: PSYCH

PSYCH 198: Senior Honors Research

The Honors Program in Psychology is designed for Psychology majors who wish to pursue a full year of intensive supervised independent research during their senior year. Students in the program will acquire a broad background in psychology as well as a deep background in their chosen area. In the fall quarter, we will focus on career development, acquiring valuable research skills, and on discussing our research projects. In the winter quarter, we will focus on reading and discussing research papers that are relevant for our projects. In the spring quarter, we will focus on how to present our research in writing, as well as in poster and oral presentations.
Terms: Aut, Win, Spr | Units: 1-4 | Repeatable for credit

PSYCH 199: Individually Supervised Practicum

Satisfies INS requirements for curricular practical training (CPT). May be repeated for credit. Prerequisites: consent of adviser.
Terms: Aut, Win, Spr, Sum | Units: 1-5 | Repeatable for credit (up to 99 units total)

PSYCH 203F: Intergroup Communication Facilitation (CSRE 103F, PSYCH 103F)

Are you interested in strengthening your skills as a facilitator or section leader? Interested in opening up dialogue around identity within your community or among friends? This course will provide you with facilitation tools and practice, but an equal part of the heart of this class will come from your own reflection on the particular strengths and challenges you may bring to facilitation and how to craft a personal style that works best for you. This reflection process is ongoing, for the instructors as well as the students.
Terms: Aut | Units: 2

PSYCH 207: Professional Seminar for First-Year Ph.D. Graduate Students

Required of and limited to first-year Ph.D. students in Psychology. Major issues in contemporary psychology with historical backgrounds.
Terms: Aut | Units: 3

PSYCH 221: Image Systems Engineering (SYMSYS 195I)

This course is an introduction to digital imaging technologies. We focus on the principles of key elements of digital systems components; we show how to use simulation to predict how these components will work together in a complete image system simulation. The early lectures introduce the software environment and describe options for the course project. The following topics are covered and software tools are introduced:n- Basic principles of optics (Snell's Law, diffraction, adaptive optics).n- Image sensor and pixel designsn- Color science, metrics, and calibrationn- Human spatial resolutionn- Image processing principlesn- Display technologiesnA special theme of this course is that it explains how imaging technologies accommodate the requirements of the human visual system. The course also explains how image systems simulations can be useful in neuroscience and industrial vision applications. The course consists of lectures, software tutorials, and a course project. Tutorials and projects include extensive software simulations of the imaging pipeline. Some background in mathematics (linear algebra) and programming (Matlab) is valuable.nPre-requisite: EE 261 or equivalent. Or permission of instructor required.
Terms: Aut | Units: 1-3

PSYCH 231: Questionnaire Design for Surveys and Laboratory Experiments: Social and Cognitive Perspectives (COMM 339, POLISCI 421K, PUBLPOL 339)

The social and psychological processes involved in asking and answering questions via questionnaires for the social sciences; optimizing questionnaire design; open versus closed questions; rating versus ranking; rating scale length and point labeling; acquiescence response bias; don't-know response options; response choice order effects; question order effects; social desirability response bias; attitude and behavior recall; and introspective accounts of the causes of thoughts and actions.
Terms: Aut | Units: 4
Instructors: Krosnick, J. (PI)

PSYCH 236: Mind Reading with Movies and Neuroimaging

This pset-focused course will train you on how to use brain imaging data - primarily functional magnetic resonance imaging while participants watch movies - to read the minds of adults. In doing so, you will acquire expertise in writing Python code, using parallel computing and analyzing big data. Recommended: PSYCH 164, PSYCH 50, or CS 106A (or equivalent).
Terms: Aut | Units: 3

PSYCH 244: Designing Psychologically Wise Interventions

As Kurt Lewin says, "Research that produces nothing but books will not suffice." How can you address the problems you care about through psychological science? Topics will address: What is a wise intervention? When are you ready to implement one (what do you need to know first and how can you learn it)? How can you make your intervention impactful and scaleable? How can you assess impacts and key processes, especially over time? Where should you embed your intervention and what role do contexts play? Course will feature classic and contemporary readings, discussion, and student leadership, including a focus on students' ongoing research projects.
Terms: Aut | Units: 3

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 251: Experimental Methods (SYMSYS 195E)

Graduate laboratory class in experimental methods for psychology, with a focus on open science methods and best practices in behavioral research. Topics include experimental design, data collection, data management, data analysis, and the ethical conduct of research. The final project of the course is a replication experiment in which students collect new data following the procedures of a published paper. The course is designed for incoming graduate students in psychology, but is open to qualified students from other programs who have some working knowledge of the R statistical programming language. Requirement: Psych 10/ Stats 60 or equivalent
Terms: Aut | Units: 4
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