HCD 590 Advanced Topics in Human Centered Design
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Summary
product, platform and services design requires human-centered designers to understand this growing technology field. As such, Machine Learning Experience Design has become an emerging discipline. This course offers designers and others the tools needed to confidently integrate human-centered design processes and methods including ethnography, prototyping, validation and testing with machine learning for product design.
Through a combination of lecture, readings, case study examples and guest lectures from machine learning experience design professionals, students will learn how to understand and use data in design and research, responsibly incorporate machine learning techniques into their designed experiences and new methods of user research that helps to make better and more responsible AI products.
Students will apply their knowledge by using the design-thinking process to redesign an analog product using ML/AI. Assignments will include problem framing, articulating project goals, designing and conducting interviews, and thematic analysis, conceptualizing designs and presenting product designs.
Texts
Media Inc, 2016.
O'Neil, C. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Broadway Books, 2016.
Eubanks, V. Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor. St. Martin's Press, 2018.
Benjamin, Ruha. Race After Technology: Abolitionist Tools for the New Jim Code. Polity Press, Medford MA.
Grading
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Grade Proportion
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Course Requirement
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25%
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Class participation
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20%
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Presentation Milestones
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35%
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Weekly writing/activity
assignments
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20%
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Final Project /Presentation/ Design Statement
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This syllabus is subject to change as necessary during the quarter. If a change occurs, it will be thoroughly addressed during class, posted under Announcements in D2L and sent via email.
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