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Exploring Artificial Intelligence

JUNE 22, 2026 — AUGUST 13, 2026
CS106EA

Details:

Time: No Topic - No Type
Units: 3
Class Number: 11485
Interest Area: Innovation and Entrepreneurship
Instructor: Patrick Young
Population: Undergraduate, Graduate
Interest Area: Innovation and Entrepreneurship
Course Format & Length: In Person, 8 Weeks
Pre-requisites:

Pre-requisites

We expect visiting students to have knowledge that is equivalent to the listed Stanford pre-requisite course.

CS106A or equivalent
Cross Listing: -
Grading Basis: Letter or Credit/No Credit

Description:

CS106EA will provide students with an overview of Artificial Intelligence and understanding of key AI concepts. We will examine a typical Machine Learning pipeline. We'll study different problems that ML is used to solve and common issues that arise (such as overfitting, drift, and bias). Students will learn how neural networks work and then examine specialized versions of neural networks for processing images, sequence data, and text. We'll explore generative AI systems for text and images. We'll also study societal issues related to Artificial Intelligence including ethical considerations and the implications of automation. This course will focus on providing a conceptual understanding of AI. While students will get some hands-on time working with and modifying actual artificial intelligence systems, it is not a programming class. However, students should have CS106A or comparable experience as we'll be assuming some basic understanding of programming.

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