Students gain hands-on experience in machine learning and AI under the direct mentorship of UT Austin Computer Science faculty, while experiencing university campus life.
The UT Austin Computer Science Academy for Machine Learning is a one-week residential summer program for high school students entering grades 10-12. Participants will engage in hands-on projects and receive mentorship from UT faculty, diving into Python programming to train and test their own machine learning models. The curriculum explores the core concepts of artificial intelligence, how intelligent systems function, and how to begin building them. Students will also investigate the ethical and social implications of machine learning and learn about career opportunities in tech. The academy aims to provide a strong foundation in machine learning and an understanding of data-driven discoveries.
Typically, students have breakfast around 7:30 AM, with activities starting at 9:00 AM. From 9:00 AM to 4:00 PM, students are in the computer lab working on projects, attending guest lectures, or touring campus, with a break for lunch. After dinner, social activities are planned, and students return to their residence hall by 9:30 PM.
This academy is best for high school students (grades 10-12) who are serious about pursuing computer science and AI, with options for both beginners and those with prior coding experience.
UT Austin Campus
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