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SCI 52 — Artificial Intelligence: Deep Learning, Human-Centered AI, and Beyond

Quarter: Fall
Day(s): Wednesdays
Course Format: Live Online (About Formats)
Duration: 9 weeks
Date(s): Sep 23—Nov 18
Time: 7:00—9:00 pm (PT)
Drop Deadline: Sep 25
Unit: 1
Tuition: $520
Instructor(s): Ronjon Nag
Status: Closed
Please Note: Some of our refund deadlines have changed. See this course's drop deadline above and click here for the full policy.
Live Online(About Formats)
7:00—9:00 pm (PT)
Sep 23—Nov 18
9 weeks
Drop By
Sep 25
1 Unit
Ronjon Nag
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 inspired by our understanding of how the human brain learns and processes information and has given rise to powerful techniques known as neural networks and deep learning. This course will provide an introductory overview of these AI techniques. Additionally, we will inspect what is beyond deep learning and implications to society as humans participate in a human-centered AI world. Through hands-on exercises, we will discover how current AI platforms compare with how the brain works, how systems actually “learn,” and how to build and apply neural networks. We will also discuss the real-world applications of neural networks. By the end of the course, students will have a greater understanding of neural networks and deep learning so they can: (1) converse with neural network practitioners and companies; (2) be able to critically evaluate AI news stories and technologies; and (3) consider what the future of AI can hold and what barriers need to be overcome.

This introductory course is open to students of all levels. No computer science or programming experience is needed, but an understanding of simple algebra is expected. This course can be taken either before or at the same time as SCI 66, "Using Artificial Intelligence and Design Thinking in Product Development."

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.

Textbooks for this course:

(Required) Tariq Rashid, Make Your Own Neural Network (ISBN 978-1530826605)