This program offers a rigorous, in-person Ivy League experience at Columbia University, focusing on building functional AI programs.
This course is designed for high school students with a strong programming background, including comfort with object-oriented programming and recursion. Students will explore the history of artificial intelligence and delve into classical search techniques. The curriculum covers optimization and probabilistic strategies, demonstrating the trade-offs between different search approaches. Participants will work on challenging assignments, applying the techniques learned to well-known problems such as N-Queens, Knapsack, Post correspondence, and Chess. The primary goal is for students to develop the ability to build functioning AI programs using Python and Java.
A typical day involves attending two class sessions, one in the late morning and one in the afternoon, with a break in between.
This course is best for high school students with a strong programming background who are interested in the theoretical and practical aspects of classical AI search algorithms.
203 Lewisohn Hall 2970 Broadway, MC 4119, New York, NY, 10027
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