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COMP SCI 613

USER EXPERIENCE DESIGN 3

3 credits.

Conduct formal evaluations of the user experience (UX) or usability of a digital system. Gain familiarity with the evaluation and research process including key stages, tasks for each stage, common data collection and analysis methods, and common tools employed in the field. Gain experience with a variety of UX evaluation approaches. Collect pilot data and develop a proposal for further UX testing.

Prerequisites & course information

Requisites: COMP SCI/L I S 612 and Declared in Information MS, Design + Innovation MS, or Capstone Certificate in User Experience Design Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Summer 2026 Learning Outcomes: 1. Demonstrate understanding of a variety of UX testing approaches Audience: Graduate 2. Plan and implement all phases of testing for a digital system including planning, data collection, analysis and reporting Audience: Graduate 3. Demonstrate understanding of the relationship among research design, instruments, metrics, and data analysis Audience: Graduate 4. Implement major testing approaches such as task-based, information architecture and accessibility Audience: Graduate 5. Have knowledge of contemporary tools used for UX testing Audience: Graduate 6. Communicate evaluation findings effectively and use data to improve systems design Audience: Graduate Learning Outcomes: 1. Demonstrate understanding of a variety of UX testing approaches Audience: Graduate 2. Plan and implement all phases of testing for a digital system including planning, data collection, analysis and reporting Audience: Graduate 3. Demonstrate understanding of the relationship among research design, instruments, metrics, and data analysis Audience: Graduate 4. Implement major testing approaches such as task-based, information architecture and accessibility Audience: Graduate 5. Have knowledge of contemporary tools used for UX testing Audience: Graduate 6. Communicate evaluation findings effectively and use data to improve systems design Audience: Graduate

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