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SCI 66 — Using Artificial Intelligence and Design Thinking in Product Development

Quarter: Fall
Day(s): Tuesdays
Course Format: Live Online (About Formats)
Duration: 5 weeks
Date(s): Oct 20—Nov 17
Time: 7:00—8:50 pm (PT)
Drop Deadline: Oct 22
Unit: 1
Tuition: $345
Instructor(s): Ronjon Nag
Status: Registration opens Aug 17, 8:30 am (PT)
Please Note: Some of our refund deadlines have changed. See this course's drop deadline above and click here for the full policy.
Fall
Live Online
Tuesdays
7:00—8:50 pm (PT)
Date(s)
Oct 20—Nov 17
5 weeks
Drop By
Oct 22
1 Unit
Fees
$345
Instructor(s):
Ronjon Nag
Registration opens Aug 17, 8:30 am (PT)
Please Note: Some of our refund deadlines have changed. See this course's drop deadline above and click here for the full policy.
Artificial intelligence (AI) is now a core technology for many products. But how do we design AI products that people actually need as opposed to simply adding new features? This course will begin with an overview of AI techniques and then transition into a workshop format where students will design AI products based on a design thinking paradigm. Through hands-on exercises, we will learn how to build and apply deep learning and discuss the real-world applications of neural networks. Then we will break into groups and learn how to holistically delve into the mathematics of AI with a disciplined design thinking approach to create products that address the latent needs of our customers. Along the way, we will also inspect what lies beyond deep learning and explore the implications to society as we participate in a human-centered AI world. Students may bring their own ideas to work on and invite fellow students to join, or project topics will be provided. By the end of the course, students will have a greater understanding of deep learning and product design so they can converse with neural network practitioners and companies; drive, and participate in, design teams of AI products; and be able to critically evaluate AI news stories and technologies.

This course focuses on designing AI products rather than delving into AI techniques themselves. For the latter, it is recommended to take SCI 52, either previously or at the same time. This course has no prerequisites.

Ronjon Nag, Interdisciplinary Fellow, Stanford Distinguished Careers Institute; Fellow, Stanford Center for the Study of Language and Information

Ronjon Nag has invented and deployed artificial intelligence systems for over three decades. He received a PhD in engineering from Cambridge, an MS from MIT, and the IET Mountbatten Medal at the Royal Institution, and was a Harkness Fellow at Stanford. Companies he has co-founded or advised have been sold to Motorola, BlackBerry, and Apple. He is the founder and managing partner of R42 Group, a venture studio.
DOWNLOAD THE PRELIMINARY SYLLABUS » (subject to change)