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SCI 48 — An Introduction to Artificial Intelligence: How Neuroscience Is Creating Smarter Technologies

Quarter: Summer
Day(s): Mondays
Course Format: On-campus
Duration: 5 weeks
Date(s): Jul 9—Aug 13
Time: 7:00—8:50 pm
Drop Deadline: Jul 22
Unit: 1
Tuition: $310
Instructor(s): Sohila Zadran
Status: Closed
Please Note: No class on July 30
7:00—8:50 pm
Jul 9—Aug 13
5 weeks
Drop By
Jul 22
1 Unit
Sohila Zadran
Please Note: No class on July 30
The age of artificial intelligence (AI) is undoubtedly here. In 2015 alone, more than $10 billion of investment went into developing “smarter” computer systems that use neuroscience (artificial neural networks and computational techniques) to perform tasks that require high-level intellect, including visual perception, speech recognition, and autonomous decision-making. The self-driving car is but one highly visible example. Even the automated customer service representative on the phone is artificial intelligence at work. In this course, students will look at the neuroscience concepts and techniques that underpin artificial intelligence and the design of intelligent computer systems. Once we understand these essential concepts and techniques, we will see how scientists and programmers build artificial intelligence platforms and applications. This includes a discussion of artificial neural networks and machine learning. Guest speakers from academia, industry, and AI companies will discuss their innovations and new AI technologies. Last, we will begin to explore the ethics of artificial intelligence and the challenging questions we will soon be forced, as a society, to address. By the end of the course, students will have a basic understanding of artificial intelligence and its roots in neuroscience, and how it contributes to existing and new technologies.

This introductory course is open to students of all levels. No background in neuroscience, artificial intelligence, or computer science is needed.

Sohila Zadran, Neuroscientist

Sohila Zadran received a PhD in neuroscience from USC and was a postdoctoral fellow at Caltech. She has founded four biotech companies and serves as an advisor to several companies and to accelerators including SkyDeck and QB3. She has also worked for various Silicon Valley venture capital firms and recently joined Khosla Ventures.

Textbooks for this course:

(Recommended) Mark Smart, Neural Networks for Complete Beginners: Introduction for Neural Network Programming (ISBN 978-1543268720)
(Recommended) Tariq Rashid , Make Your Own Neural Network (ISBN 978-1530826605    )