Elisabeth Sylvan

Critic

Courses

Spring 2025 Courses

GRAD 3274-01 / ID 3274-01 - DESIGNING WITH EMERGING TECHNOLOGIES: GENERATIVE AI
Level Graduate
Subject Graduate Studies Industrial Design
Period Spring 2025
Credits 3
Format Seminar
Start date
End date

GRAD 3274-01 / ID 3274-01

DESIGNING WITH EMERGING TECHNOLOGIES: GENERATIVE AI

Level Graduate
Subject Graduate Studies Industrial Design
Period Spring 2025
Credits 3
Format Seminar
Start and End 2025-02-13 to 2025-05-23
Times: W | 9:40 AM - 12:40 PM Instructor(s): Chaki Ng, Elisabeth Sylvan Location(s): College Building, Room 302 Enrolled / Capacity: 20 Status: Open

SECTION DESCRIPTION

Cut through the hype and excitement surrounding generative AI by understanding for yourself what these tools can and cannot do. Through this course students will learn to understand, design, and build with generative AI. The class is a mix of theory and hands-on work. Students develop practical skills in designing, building, and testing with generative AI. Readings and discussions address key concepts in AI, their ethical implications, foundations in human computer interaction and human AI interaction, and design implications for creators. Students will experiment with bringing generative AI into their existing creative practice including writing, two-dimensional designs, illustrations, 3D, and product design. No previous experience with either the theory or use of AI is required but students will need to learn to use the tools through course tutorials and independent work.

Elective

GRAD 3274-01 / ID 3274-01 - DESIGNING WITH EMERGING TECHNOLOGIES: GENERATIVE AI
Level Graduate
Subject Graduate Studies Industrial Design
Period Spring 2025
Credits 3
Format Seminar
Start date
End date

GRAD 3274-01 / ID 3274-01

DESIGNING WITH EMERGING TECHNOLOGIES: GENERATIVE AI

Level Graduate
Subject Graduate Studies Industrial Design
Period Spring 2025
Credits 3
Format Seminar
Start and End 2025-02-13 to 2025-05-23
Times: W | 9:40 AM - 12:40 PM Instructor(s): Chaki Ng, Elisabeth Sylvan Location(s): College Building, Room 302 Enrolled / Capacity: 20 Status: Open

SECTION DESCRIPTION

Cut through the hype and excitement surrounding generative AI by understanding for yourself what these tools can and cannot do. Through this course students will learn to understand, design, and build with generative AI. The class is a mix of theory and hands-on work. Students develop practical skills in designing, building, and testing with generative AI. Readings and discussions address key concepts in AI, their ethical implications, foundations in human computer interaction and human AI interaction, and design implications for creators. Students will experiment with bringing generative AI into their existing creative practice including writing, two-dimensional designs, illustrations, 3D, and product design. No previous experience with either the theory or use of AI is required but students will need to learn to use the tools through course tutorials and independent work.

Elective