PSYC 496

Fall 2024 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 fall 2024
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
48376	Lecture-Discussion	ADG	2:00PM -3:20PM	TR	Psychology Building	Adhimoolam, B	Part of Term: 1 Date Range: 08/26/24-12/11/24 Credit: 4 hours Section Title: Programming & Data Science w/R Section Info: Graduate Students should register for this section. In this course you will learn how to program in R and subsequently use R for effective data analysis and communication of results. The course will teach you the basics of R programming (such as data types and structures in R, writing functions in R, loops and iterations, etc.) and will expand to teach R packages to tidy, transform, visualize, and model your data. You will learn powerful visualization and transformation packages in R (ggplot2 and dplyr), and will also learn about interactive visualization packages in R. You will learn how to fit models to data with R packages and will move on to learn machine learning concepts/packages in R. This course will conclude by covering topics on tools for reproducible research. You will learn R packages such as R Markdown for integrating prose, code and results of data analysis. You will also learn version control with Git and GitHub, which will enable you to create and manage repositories of your code and share them for publication or collaborative purposes. This course will serve as a foundation course for any other advanced statistical analysis/modelling course in R that you may plan for later or in parallel. No prior programming experience is required for this course. Elective course for Intradisciplinary Psychology Concentration Restriction(s): Restricted to Graduate - Urbana-Champaign.
46959	Lecture-Discussion	ADH	2:00PM -3:20PM	TR	Psychology Building	Adhimoolam, B	Part of Term: 1 Date Range: 08/26/24-12/11/24 Credit: 3 hours Section Title: Programming & Data Science w R Section Info: Undergraduate students should register for this section. In this course you will learn how to program in R and subsequently use R for effective data analysis and communication of results. The course will teach you the basics of R programming (such as data types and structures in R, writing functions in R, loops and iterations, etc.) and will expand to teach R packages to clean up, transform, analyze and visualize the data set and to further communicate your results. You will be introduced to powerful visualization and transformation packages such as ggplot2 and dplyr in R. This course will also cover the concepts and tools for reproducible research with packages in R such as Markdown and knitr for integrating prose, code and results. You will be introduced to version control with Git and GitHub, which will enable you to create and manage repositories of your code (and data) and share them for publication or collaborative purposes. This course will serve as a foundation course for any other advanced statistical analysis/modeling course in R that you may plan for later or in parallel. There are no prerequisites for this course. No programming experience is required for this course. Elective course for Intradisciplinary Psychology Concentration Restriction(s): Restricted to Undergrad - Urbana-Champaign.
37972	Lecture	CF	5:00PM -5:50PM	W	Psychology Building	Fairbairn, C	Part of Term: 1 Date Range: 08/26/24-12/11/24 Special Approval: Instructor Approval Required Credit: 3 hours Section Title: Advanced Topics in Psychopharm Section Info: Title: Advanced Topics in Psychopharmacology in Alcohol Research Description: This course is aimed at deepening foundational skills among students with a background of engagement with university-level alcohol research. The course involves objectives centered around student development across key domains, including foundational knowledge of addiction and alcohol research, scientific literacy skills, and professional and career development. The meeting also includes units specifically targeted towards more advanced skill development for graduate-level enrollees, including specialized content focused on specific skills ranging from data analysis to correspondence with the IRB to the crafting of an effective response letter for journal editors. Students are expected to actively engage in discussion, read scientific articles in alcohol science, and lead presentations aimed at teaching others what they have learned. Overall, this series is aimed at providing a set of resources and didactics that help enrollees develop core scientific skills and move towards a productive career in alcohol research and in psychology more broadly.
37966	Lecture-Discussion	ID3	2:00PM -4:50PM	M	Psychology Building	Blanden, K Landrum-Brown, J	Part of Term: 1 Date Range: 08/26/24-12/11/24 Credit: 3 hours Section Title: IntroFaciltatngIntrGrpDialogue Section Info: This course is designed to give students a general overview of the skills and knowledge needed to facilitate culturally diverse group interactions. Students will explore the impact of gender, ethnicity, race, religion, sexual orientation, socioeconomic class, disability and physical appearance on group dynamics and relationships. The course is open to undergraduate students. Elective course for Diversity Science or Intradisciplinary Psychology Concentration Restriction(s): Restricted to Undergrad - Urbana-Champaign.
37967	Lecture-Discussion	ML	11:00AM -12:20PM	TR	Psychology Building	Lyubansky, M	Part of Term: 1 Date Range: 08/26/24-12/11/24 Credit: 3 hours Section Title: Positive Psychology Section Info: Topic: Positive Psychology Positive psychology is the scientific study of cognitions, interpersonal strategies, and environmental conditions associated with well-being. We will discuss common misconceptions about happiness, examine the cognitive biases that often get in the way, and look closely at the cognitions and behaviors that are actually associated with resilience and life satisfaction. Students will also have the opportunity to think critically about how to apply this knowledge to both improve their communities and live a happier life. Elective course for Clinical/Community, Intradisciplinary, Personality, or Social Psychology Concentration