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DESGN-6700-1: Design Electives:AI-based interactions

Fall 2023

Subject: Graduate Design
Type: Workshop
Delivery Mode: In-Person
Level: Graduate

Campus: San Francisco
Course Dates: August 30, 2023 — December 12, 2023
Meetings: Wed 4:00-07:00PM, 80 Carolina - P2
Instructor: Jiwon Jun

Units: 3.0
Enrolled: 12/12 Waitlist

Description:

In this class, students will learn about use cases of AI-based interaction design in the industry and explore how AI will transform our experiences with tools. At the beginning of the class, students will build their own knowledge of UX design considerations for AI-based systems through readings, case studies, and discussions. Based on this learning, students will undertake individual and independent design research to investigate, validate, and prototype their own ideas of AI-based interactions in the rest of the class. Through this process, students will learn about design research methods and gain basic knowledge about AI-based systems. Active engagement in discussion and foundational design skills are required, such as sketching, 3D modeling, diagramming, and storyboarding to visualize ideas. A short field trip and guest lectures may be included in the class.

Pre-Requisites and Co-Requisites:

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