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101 - 110 of 162 results for: PSYCH

PSYCH 230: Computational Models of the Creative Process

This advanced seminar will explore computational approaches to understanding the cognitive processes that enable humans to design meaningful experiences for others in a variety of domains, including visual media, musical compositions, written stories, and games. Towards this end, we will discuss contemporary work in the cognitive science, computer graphics, human-computer interaction, education, and artificial intelligence literatures.
Terms: Win | Units: 3
Instructors: Fan, J. (PI)

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 232: Brain and Decision Making (PSYCH 134)

This seminar explores how emerging findings at the interface of neuroscience, psychology, and economics combine to inform our understanding of how the brain makes decisions. Topics include neural processes related to reward, punishment, probability, risk, time, reflection, and social interaction, as well as theoretical implications and practical applications. We will briefly touch on the possibility of extending individual brain and behavioral data down to physiological and up to aggregate levels of analysis.Because the course involves interdisciplinary material, it takes the format of a research seminar with background discussions, and is targeted at graduate students and advanced undergraduates who aim to conduct related research. Goals include: (1) building familiarity with relevant neuroscience, psychology, and economics concepts; (2) increasing awareness of key relevant literature; and (3) preparation to conduct and advance innovative interdisciplinary research.
Terms: Spr | Units: 3

PSYCH 234: Understanding Depression

In this course we will discuss current issues in the study of major depression, including the epidemiology and phenomenology of depression and other affective disorders, psychological and biological theories of depression, gender differences in depression, cognitive and social functioning of depressed persons, findings from neuroimaging studies of depression, depression in children, risk factors for depression, issues involving suicide, and implications of the NIMH RDoC initiative for the study of depression and other psychiatric diagnostic categories.
Terms: Win | Units: 3 | Repeatable for credit

PSYCH 235: Human Motivation

This graduate seminar will explore social-cognitive perspectives on motivation and emotion. Meetings will be discussion based. Prerequisites: Psychology 207 and consent of instructor.
Terms: Spr | Units: 3

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. Prereqs: Coding (e.g., CS 106A); Statistics (e.g., PSYCH10). Recommended: Neuroscience (e.g., PSYCH 164, PSYCH 50).
Terms: Win | Units: 3
Instructors: Ellis, C. (PI)

PSYCH 236A: The Psychology of Scarcity: Its Implications for Psychological Functioning and Education (CSRE 136U, PSYCH 136)

This course brings together several literatures on the psychological, neurological, behavioral and learning impact of scarcities, especially those of money (poverty) time and food. It will identify the known psychological hallmarks of these scarcities and explore their implications for psychological functioning, well-being and education--as well as, how they can be dealt with by individuals and in education.
Last offered: Spring 2021 | Units: 3

PSYCH 238: Wise Interventions (PSYCH 138, PUBLPOL 238)

Classic and contemporary psychological interventions; the role of psychological factors in social reforms for social problems involving healthcare, the workplace, education, intergroup, relations, and the law. Topics include theories of intervention, the role of laboratory research, evaluation, and social policy. This course can be taken for either 3 or 5 units. Three units: does not satisfy the WIM requirement, enroll in lecture only as no discussion section is required. Five units: does satisfy the WIM requirement and enrollment in lecture plus discussion section is required.
Terms: Win | Units: 3-5
Instructors: Walton, G. (PI) ; Blakey, W. (TA) ; Dhingra, M. (TA) ; King, S. (TA) ; Lim (Chun Hui), C. (TA) ; Proshan, J. (TA)

PSYCH 240: Big Questions About Small Brains

Is face processing innate? Are infants passive spectators of their world or active agents pursuing goals? Why don't we remember anything from our infancy? This seminar-based course will use a Developmental Cognitive Neuroscience lens - using methods like fMRI, EEG, and animal models - to consider these big questions in early Cognitive Development. Prerequisite: 207 or consent of instructor.
Terms: Spr | Units: 3
Instructors: Ellis, C. (PI)

PSYCH 240A: Curiosity in Artificial Intelligence (EDUC 234)

How do we design artificial systems that learn as we do early in life -- as "scientists in the crib" who explore and experiment with our surroundings? How do we make AI "curious" so that it explores without explicit external feedback? Topics draw from cognitive science (intuitive physics and psychology, developmental differences), computational theory (active learning, optimal experiment design), and AI practice (self-supervised learning, deep reinforcement learning). Students present readings and complete both an introductory computational project (e.g. train a neural network on a self-supervised task) and a deeper-dive project in either cognitive science (e.g. design a novel human subject experiment) or AI (e.g. implement and test a curiosity variant in an RL environment). Prerequisites: python familiarity and practical data science (e.g. sklearn or R).
Terms: Spr | Units: 3
Instructors: Haber, N. (PI)
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