PSYC 496

Spring 2026 All Classes

All Classes

Adv Current Topics in Psych

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Credit: 2 TO 4 hours.

Advanced treatment of current topics in the field of psychology.

2 to 4 undergraduate hours. 2 to 4 graduate hours. May be repeated to a maximum of 9 hours. Prerequisite: PSYC 100 and junior standing, or consent of instructor; particular sections may have additional 200-level and/or 300-level prerequisites.

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PSYC 496 class schedule data for spring 2026
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
37462	Lecture	CCP	3:00PM -4:50PM	TR	21 Psychology Building	Hunter, C Rivas, D Schlesinger, R	Part of Term: 1 Date Range: 01/20/26-05/06/26 Special Approval: Instructor Approval Required Credit: 4 hours Section Title: IntroCounselingParaprofessProg Section Info: PSYC 496 CCP is a paraprofessional course that is a 3-semester commitment. Applications must be submitted in the fall and participation in the program is invited following the completion of the application and a successful interview. Incoming CCPs who have gone through this process begin in the spring semester. Here is the timeline for applying: https://counselingcenter.illinois.edu/training/counseling-center-paraprofessional-program/apply-be-ccp PSYC elective course for Intradisciplinary Psychology Concentration
43460	Lecture-Discussion	JC	2:30PM -3:50PM	TR	1064 Lincoln Hall	Cohen, J	Part of Term: 1 Date Range: 01/20/26-05/06/26 Credit: 3 hours Section Title: Public Psychology Concerns Section Info: Public psychology is the subdiscipline of psychology focused on addressing current social ills and promoting human welfare. In this course, we will focus on psychology’s perspectives on societal issues (e.g., the consequences of the COVID pandemic, the increasing role of artificial intelligence), as well as how to conduct and disseminate research in a manner that better connects research with the general public. This includes hands-on learning experiences for how to leverage public domain data to address issues within the public's interest. PSYC elective course for Clinical/Community and Intradisciplinary Psychology Concentration
40988	Lecture-Discussion	JCG	2:30PM -3:50PM	TR	1064 Lincoln Hall	Cohen, J	Part of Term: 1 Date Range: 01/20/26-05/06/26 Credit: 4 hours Section Title: Public Psychology Concerns Section Info: This course is for students who have completed 370, although this is not a requirement. Students will present the papers they have written in 370, and we will discuss other topics in suicidology. We will also screen a few well-known suicide films. Restriction(s): Restricted to Graduate - Urbana-Champaign.
51055	Lecture	JW	1:30PM -2:50PM	MW	32 Psychology Building	Willits, J	Part of Term: 1 Date Range: 01/20/26-05/06/26 Credit: 3 hours Section Title: Large Lang Models & Human Cog Section Info: This course is a discussion- and activity-based exploration of Large Language Models (LLMs) such as ChatGPT, focusing on how they work, what they can and cannot do, and what they reveal about human cognition and language. The course will cover three primary topics. First, we will develop a basic understanding of how LLMs function and address common misconceptions about their mechanisms. Second, we will examine the strengths and weaknesses of LLMs in practical, knowledge-related tasks. For example: What kinds of questions can LLMs answer reliably, and where do they fail? Do LLMs help or hinder learning, reasoning, and productivity in their users? Finally, we will consider high-profile debates at the intersection of LLMs and cognitive science: Are LLMs intelligent? Can they be creative? And what, if anything, can they teach us about human cognition and language processing? Throughout the course, students will be asked to use and interact with LLMs, and use those interactions to inform our classroom discussions of each week’s topics. BCOG advanced elective, PSYC elective course for Cognitive and Intradisciplinary Psychology Concentration Restriction(s): Restricted to Undergrad - Urbana-Champaign.
51056	Lecture	JW2	1:30PM -2:50PM	MW	32 Psychology Building	Willits, J	Part of Term: 1 Date Range: 01/20/26-05/06/26 Credit: 4 hours Section Title: Large Lang Models & Human Cog Section Info: This course is a discussion- and activity-based exploration of Large Language Models (LLMs) such as ChatGPT, focusing on how they work, what they can and cannot do, and what they reveal about human cognition and language. The course will cover three primary topics. First, we will develop a basic understanding of how LLMs function and address common misconceptions about their mechanisms. Second, we will examine the strengths and weaknesses of LLMs in practical, knowledge-related tasks. For example: What kinds of questions can LLMs answer reliably, and where do they fail? Do LLMs help or hinder learning, reasoning, and productivity in their users? Finally, we will consider high-profile debates at the intersection of LLMs and cognitive science: Are LLMs intelligent? Can they be creative? And what, if anything, can they teach us about human cognition and language processing? Throughout the course, students will be asked to use and interact with LLMs, and use those interactions to inform our classroom discussions of each week’s topics. Graduate students should register for this section. Restriction(s): Restricted to Graduate - Urbana-Champaign.
69709	Laboratory	SDU	9:30AM -10:50AM	TR	32 Psychology Building	Uddenberg, S	Part of Term: 1 Date Range: 01/20/26-05/06/26 Credit: 4 hours Section Title: Comp Foundations Behav Science Section Info: Computational Foundations for Behavioral Science This course teaches the fundamentals of computer programming with Python to achieve research goals as a behavioral scientist. We will cover implementing experiments, data analyses, simulations, and computational models in the behavioral and social sciences. By the end of the course, students will have developed a piece of software (such as an experiment or in-depth set of analyses) that substantively advances their own ongoing research programs, as well as a manuscript proposing (or elucidating the results of) said experiment/analyses. Core topics include program design, data wrangling and visualization, reproducible workflows (version control, environments), experiment/game scripting, statistical modeling, and simple machine-learning pipelines. Prior coding experience not required; familiarity with quantitative research methods recommended. Intended for graduate students in psychology/cognitive science, neuroscience, economics, sociology, political science, and related fields. Meets with BCOG 200. Graduate students should register for this section. MSPS Students need to register for this course. Restriction(s): Restricted to Graduate - Urbana-Champaign.