printer friendly pageME 341: Design Experiments
Design experiments to learn about the relationship between users and products, with an emphasis on quantitative output that is tested with statistics. Students will be exposed to all components of the experimental design process: research proposition, literature review, detailed hypotheses, method selection, experimental instruments, subject selection, pilot studies, analysis approaches, reporting results, and discussing conclusions. Students will receive human subjects training and complete the IRB certificate. Possible experiment design tools include in-person observation and interviews, web surveys, and eye-tracking.
Terms: Win
| Units: 3
Instructors:
MacDonald, E. (PI)
;
Liao, T. (TA)
ME 341X: Statistics for Design Experiments
Feedback from users is fundamental to good design. Often this feedback is collected in the form of a survey, resulting in data requiring both analysis and synthesis. Course content will be delivered via live and on-line video lectures, with group classroom time dedicated to completing the lab assignments. You will learn the specific skills necessary to design, launch and collect data using an online survey tool (Qualtrics), how to analyze the results using R for Statistical Computing, and to create simple graphical representations of statistical data. This course is designed to complement
ME341 ¿ Design Experiments although enrollment in ME341 is not a prerequisite for this course. One-unit credit requires completion of an analysis project using data collected as part of this class. Auditors welcome.
Terms: Win
| Units: 1
Instructors:
Schar, M. (PI)
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