PSYC 593

Spring 2023 Part of Term 1

Part of Term 1
Jan 17-May 3

Seminar

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Credit: 2 OR 4 hours.

Discussion of current topics in their historical setting, with special emphasis on research problems.

2 or 4 graduate hours. No professional credit. May be repeated if topics vary.

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PSYC 593 class schedule data for spring 2023
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
37740	Lecture-Discussion	DIV	9:00AM -10:50AM	W	708 Psychology Building	Hunter, C	Part of Term: 1 Date Range: 01/17/23-05/03/23 Special Approval: Instructor Approval Required Credit: 2 hours Section Title: ClinComm Diversity & Inclustio Section Info: This seminar focuses on issues of diversity and multiculturalism and their impact on theory, research, and practice in clinical and community psychology. Seminar topics are wide ranging and presentations vary in format from lectures to workshops. Restriction(s): Restricted to Graduate - Urbana-Champaign.
49848	Lecture-Discussion	JG	2:00PM -3:50PM	F	508 Psychology Building	Goense, J	Part of Term: 1 Date Range: 01/17/23-05/03/23 Credit: 4 hours Section Title: Advances in Functional Magneti Section Info: Section title: Advances in Functional Magnetic Resonance Imaging Description: Advanced imaging methods to study brain function, such as ultra high field (7T) MRI, are playing an increasingly large role in cognitive science. In this course, we will discuss a variety of advanced MRI methods, and their application to questions in cognitive science. Prerequisites: familiarity with MRI and brain function; the following courses or their equivalent: PSYC 204, PSYC 220, PSYC 404/NEUR 405, PSYC 445. Restriction(s): Restricted to Graduate - Urbana-Champaign.
37657	Lecture-Discussion	JH	2:00PM -3:50PM	R	819 Psychology Building	Hotaling, J	Part of Term: 1 Date Range: 01/17/23-05/03/23 Credit: 4 hours Section Title: Computational Modeling of Cogn Section Info: Title: Computational Modeling of Cognition Course Description: : Reviews prominent approaches to modeling human behavior, with an emphasis on computational models of cognitive processes. Students will learn about the conceptual and theoretical foundations of various models. A central goal of this course is for student to develop the knowledge and skills to apply computational modeling techniques in their own research. Restriction(s): Restricted to Graduate - Urbana-Champaign.
52861	Lecture-Discussion	SZ	1:00PM -3:20PM	F	2025 Campus Instructional Facility	Zhang, S	Part of Term: 1 Date Range: 01/17/23-05/03/23 Credit: 4 hours Section Title: Stat Learning for Behav Data Section Info: Psyc 593 – Statistical Learning for Behavioral Data An incomplete survey of statistical machine learning methods for large-scale behavioral data (e.g., item responses, choices, ratings, text, computer log) from psychological/educational tests, surveys, and observational studies. A combination of lectures, assigned reading discussion, and data analysis activities. Prerequisites: PSYC 594, familiarity with R, and one of the following: PSYC 589, EPSY 590 (Bayesian), or PSYC 596. Restriction(s): Restricted to Graduate - Urbana-Champaign. Restricted to Psychology major(s).
70023	Lecture-Discussion	WH2	ARRANGED	n.a.	Location Pending	Huffman, J	Part of Term: 1 Date Range: 01/17/23-05/03/23 Special Approval: Instructor Approval Required Section Title: Neuropsychological Assessment Section Info: Topic: Neuropsychological Assessment of Children, Adolescents, and Adults This course will provide students with in-depth experience in comprehensive neuropsychological assessment for children, adolescents and adults. Students will have the opportunity to learn and master a wide variety of tests and measures used to assess cognitive, emotion, and social function. Readings, case conferences, and discussions will focus on analysis and interpretation of testing data and other sources of information. Cases generally involve individuals with complex neurocognitive and neuropsychiatric issues which intersect with social, emotional, and environmental challenges. Students attending this seminar will be exposed to hypothesis building and testing, measurement strategies and interpretation of data, and use of the literature to investigate and determine fundamental neuropsychological mechanisms and their interactions with other factors in explaining functional impairments. Restriction(s): Restricted to Graduate - Urbana-Champaign.