PSYC 496

Spring 2024 All Classes

All Classes

Adv Current Topics in Psych

SHOW FINAL EXAM SCHEDULE

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.

My Favorites

My Schedule

Section Status updates every 10 minutes.

PSYC 496 class schedule data for spring 2024
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
47520	Lecture	ADG	2:00PM -3:20PM	TR	11 Psychology Building	Adhimoolam, B	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Programming and Data Sci 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. Restriction(s): Restricted to Graduate - Urbana-Champaign.
45974	Lecture	ADH	2:00PM -3:20PM	TR	11 Psychology Building	Adhimoolam, B	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 3 hours Section Title: Programming and Data Sci w R Section Info: Elective course for Intradisciplinary Psychology Concentration. 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/modelling 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 This is for Undergraduates - 3 Credit Hours Restriction(s): Restricted to Undergrad - Urbana-Champaign.
52422	Lecture	BA3	9:30AM -10:50AM	TR	11 Psychology Building	Adhimoolam, B	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: MachineLrnFund&DeepLrn with R Section Info: Machine learning and artificial intelligence are revolutionizing various disciplines of science, medicine, healthcare, engineering, and technology. In this course, students will be introduced to various machine learning and deep learning techniques, their underlying algorithms, and their widespread applications. Students will acquire hands-on lab experience in implementing these machine learning algorithms on various datasets with the help of R Packages. Prerequisites: Some familiarity with R language preferred. Graduates should register for this section. Restriction(s): Restricted to Graduate - Urbana-Champaign.
37468	Lecture	BA4	9:30AM -10:50AM	TR	11 Psychology Building	Adhimoolam, B	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 3 hours Section Title: MachineLrnFund&DeepLrn with R Section Info: Machine learning and artificial intelligence are revolutionizing various disciplines of science, medicine, healthcare, engineering, and technology. In this course, students will be introduced to various machine learning and deep learning techniques, their underlying algorithms, and their widespread applications. Students will acquire hands-on lab experience in implementing these machine learning algorithms on various datasets with the help of R Packages. Prerequisites: Some familiarity with R language preferred. Undergraduates should register for this section. PSYC elective course for Intradisciplinary Psychology Concentration Restriction(s): Restricted to Undergrad - Urbana-Champaign.
37462	Lecture	CCP	3:00PM -4:50PM	TR	21 Psychology Building	Hunter, C Lanker, E Schlesinger, R	Part of Term: 1 Date Range: 01/16/24-05/01/24 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
69709	Laboratory	JW	9:30AM -10:50AM	TR	32 Psychology Building	Derringer, J	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Intro Prog for Brain & Cog Sci Section Info: Please see BCOG 200 for a Course Description. MSPS Students need to register for this Course. Restriction(s): Restricted to Graduate - Urbana-Champaign. Restricted to MS: Psychological Science-UIUC.
40579	Lecture	ML3	12:30PM -1:50PM	TR	32 Psychology Building	Lyubansky, M	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 3 hours Section Title: RJ: Schoolyards and Prison Yar Section Info: Schoolyards and Prison Yards: Restorative Justice in Mainstream Systems Building on the foundation developed in the Restorative Justice: Principles and Methods course, this course examines the use of restorative justice in two different systemic contexts. The first part of this course explores restorative justice approaches in educational settings, including building and strengthening relationships among students and between students and teachers, as well as restorative responses to conflicts and violations of school norms and rules. In the second half of the course, we'll examine conventional responses to crime and look at early attempts at restorative justice within and in place of the criminal justice response. Although the focus will be on exploring theoretical, empirical, and experiential writings concerning restorative approaches, there will also be some opportunity to develop and practice applied "facilitation" skills. To the extent possible within the structure of the university system, the course itself will be guided by restorative principles, including power sharing. Students enrolling in this course will have either taken the Principles and Methods course or have other experience or familiarity with restorative justice. Elective course for Clinical or Intradisciplinary Concentration
46012	Lecture	ML4	12:30PM -1:50PM	TR	32 Psychology Building	Lyubansky, M	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: RJ: Schoolyards and Prison Yar Section Info: This section intended for Graduate students. Schoolyards and Prison Yards: Restorative Justice in Mainstream Systems Building on the foundation developed in the Restorative Justice: Principles and Methods course, this course examines the use of restorative justice in two different systemic contexts. The first part of this course explores restorative justice approaches in educational settings, including building and strengthening relationships among students and between students and teachers, as well as restorative responses to conflicts and violations of school norms and rules. In the second half of the course, we'll examine conventional responses to crime and look at early attempts at restorative justice within and in place of the criminal justice response. Although the focus will be on exploring theoretical, empirical, and experiential writings concerning restorative approaches, there will also be some opportunity to develop and practice applied "facilitation" skills. To the extent possible within the structure of the university system, the course itself will be guided by restorative principles, including power sharing. Restriction(s): Restricted to Graduate - Urbana-Champaign.