AHS 494

Spring 2021 All Classes

All Classes

Special Topics

SHOW FINAL EXAM SCHEDULE

Credit: 1 TO 4 hours.

Lecture courses in topics of current interest; specific subject matter will be announced in the Class Schedule.

1 to 4 undergraduate hours. 1 to 4 graduate hours. Approved for Letter and S/U grading. May be repeated up to 12 hours if topics vary. Prerequisite: See Class Schedule for section requirements.

My Favorites

My Schedule

Section Status updates every 10 minutes.

AHS 494 class schedule data for spring 2021
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
65380	Online	AD2	ARRANGED	n.a.	n.a.	McCarthy, M Rangin, H Thompson, M	Part of Term: A Date Range: 01/25/21-03/19/21 Credit: 2 hours Section Title: Accessible Electronic Material Section Info: Topic: Creating and Procuring Accessible Electronic Materials. The purpose of this course is to deepen the accessibility awareness of participants by exposing them to a broad range of accessibility concerns when creating electronic materials. This will include an examination of how people with disabilities are impacted by different technologies. The course will expose students to the building blocks of the web HTML and CSS and provide an introduction to multimedia accessibility and document formats including MS Word, PDF, and PowerPoint. Students will also be invited to explore some of the more challenging areas of accessibility, like maps and emerging media-rich design trends. The course will close with a look at best practices for purchasing and vetting third-party vendors and give students the opportunity to apply techniques for conducting usability/accessibility testing for audiences with disabilities. It is strongly recommended that students complete the initial course in this certificate sequence (AHS 494: Understanding Disability and Assistive Technology) prior to enrolling in AHS 494, Accessible Electronic Material. Restriction(s): Restricted to Nondegree or Computer Science or Statistics & Computer Science or Nondegree-CE or Math & Computer Science or Computer Sci & Anthropology or Computer Sci & Astronomy or Computer Sci & Chemistry or Computer Sci & Linguistics major(s).
65381	Online	AD3	ARRANGED	n.a.	n.a.	McCarthy, M Thompson, M	Part of Term: B Date Range: 03/22/21-05/05/21 Credit: 2 hours Section Title: Design Accessible Web Res Section Info: Topic: Designing Universally Accessible Web Resources. The purpose of this course is to help students understand how to apply usability and accessibility principles and techniques, including W3C Web Content Accessibility Guidelines (WCAG) 2.0 and WAI Accessible Rich Internet Application (ARIA) techniques, to design and create highly usable and accessible web resources. Students will learn how HTML5, CSS, and JavaScript interact with web browsers to make content available to assistive technologies, such as screen readers. Throughout the course, students will use assistive technologies and automated tools to understand the accessibility features of HTML5 and ARIA. It is strongly recommended that students complete the two previous courses in this certificate sequence (AHS 494: Understanding Disability and Assistive Technology, and AHS 494: Creating and Procuring Accessible Electronic Materials) prior to enrolling in AHS 494, Designing Accessible Web Resources. Restriction(s): Restricted to Nondegree or Computer Science or Statistics & Computer Science or Nondegree-CE or Math & Computer Science or Computer Sci & Anthropology or Computer Sci & Astronomy or Computer Sci & Chemistry or Computer Sci & Linguistics major(s).
72859	Online	SM	ARRANGED	n.a.	n.a.	Clay, S	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 4 hours Section Title: STAT models in Health Sciences Section Info: Full Section Title: Statistical Models and Procedures for the Health Sciences Students will study statistical approaches commonly used for data analyses in the health sciences. Topics will likely include the following: theories and assumptions behind parametric and nonparametric statistics, principles of probability modeling, selecting statistics based on research questions, sampling theory and techniques, moderate coverage of t-test, ANOVA, MANOVA, multiple correlation, multiple regression and hierarchical models, limited exposure to structural equation modeling, path analysis, and application of statistical packages (e.g., SPSS, Stata, R) to analyze data and interpret results. Restriction(s): Restricted to Graduate - Urbana-Champaign.