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SCI 54 — Artificial Intelligence Master Class: Guided Journeys into the Brave New World of AI

Quarter: Fall
Day(s): Tuesdays
Course Format: On-campus
Duration: 7 weeks
Date(s): Oct 2—Nov 13
Time: 7:00—8:50 pm
Drop Deadline: Oct 15
Unit: 1
Tuition: $405
Instructor(s): Ronjon Nag
Fall
On-campus
Tuesdays
7:00—8:50 pm
Date(s)
Oct 2—Nov 13
7 weeks
Drop By
Oct 15
1 Unit
Fees
$405
Instructor(s):
Ronjon Nag
Closed
Artificial intelligence (AI) promises innovations that will change not simply industries, but more importantly the way we live. Many innovations will be undeniably positive, though some might be destabilizing to our society. Welcome to the brave new world of artificial intelligence.

In this course, an array of experts will offer students a hands-on exploration of innovations in artificial intelligence taking place across numerous fields—from gaming to genetics and from finance to fine art. The instructor will lay the foundation with an introduction to what artificial intelligence is and how it functions. Students will work on their computers to gain firsthand experience with essential AI concepts. This will be followed by dedicated master classes with distinguished experts in their fields. Scheduled speakers include Michael Snyder (Professor in Genetics, Stanford), who will talk about personalized genomics for predicting disease; Danny Lange (Vice President of AI and Machine Learning, Unity Technologies), who will cover the world of AI for gaming; Kay Giesecke (Professor of Management Science & Engineering, Stanford; Director, Stanford Advanced Financial Technologies Laboratory), who will discuss AI for the housing, finance, and real estate markets; and Andrew Yang (Founder, Venture for America; US presidential candidate for 2020), who will discuss the controversial issue of whether AI will necessitate the introduction of a universal basic income.

No prior programming experience is required, though students would benefit from understanding some middle school-level algebra. Students are required to bring a fully charged laptop computer to class.

Ronjon Nag, Fellow, Stanford Distinguished Careers Institute

Ronjon Nag has deployed artificial intelligence systems for mobile devices over three decades, working on neural networks at Cambridge, where he received a PhD in engineering; at Stanford, where he was a Harkness Fellow; and at MIT, where he received an MS. In 2014, he received the Mountbatten Medal from the Institution of Engineering and Technology for his contributions to the modern mobile phone industry. Companies he has co-founded or advised have been sold to Motorola, BlackBerry, and Apple.

Textbooks for this course:

(Recommended) Tariq Rashid, Make Your Own Neural Network (ISBN 978-1530826605)
(Recommended) David G. Stork and Arthur C. Clarke, HAL's Legacy: 2001's Computer as Dream and Reality (ISBN 978-0262692113)
(Recommended) Michael Snyder, Genomics and Personalized Medicine: What Everyone Needs to Know (ISBN 978-0190234768)
(Recommended) Andrew Yang, The War on Normal People (ISBN 978-0316414241)
DOWNLOAD THE PRELIMINARY SYLLABUS » (subject to change)