Students gain practical experience by building and programming a self-driving toy car using machine learning algorithms, culminating in a final demonstration.
The Harvard University CELEHS 'Data Science in Action - Machine Learning for Self-Driving Cars' summer camp is a three-week program designed to introduce high school students to programming and machine learning. The camp is structured in two parts. Part 1 involves self-paced virtual classes introducing Python programming, supported by YouTube tutorials and Zoom office hours with TAs. Part 2 is an in-person, two-week session where students delve into various machine learning methods and algorithms, including their applications in fields like biomedicine. Working in teams, students engage in programming exercises, from introductory coding to image classification. Each team receives a laptop, a Raspberry Pi, and materials to build a toy car. The culmination of the program is a final presentation where students train classification algorithms, including neural networks, to recognize objects and then install their programs into a camera-equipped toy car that self-drives using their programmed neural network. The program also includes lunch discussions with machine learning experts from academia and industry, offering insights into data science careers.
A typical day involves lectures on statistics, machine learning, and AI, programming practice, hands-on construction and troubleshooting of the toy Pi Car, and lunch meetings with guest speakers who are machine learning experts.
This program is best for high school students interested in gaining foundational knowledge and practical experience in AI, machine learning, and programming through an engaging, project-based approach.
Harvard University
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