The camp offers a multi-level curriculum, progressing from visual programming to advanced AI, and is supported by a university-affiliated team dedicated to expanding access to computational and data science education for diverse student populations.
The Seth Bonder Summer Camp in Computational and Data Science for Engineering offers high school students an immersive experience in computational thinking and data science. The camp features multiple levels, starting with foundational programming concepts using the visual language Snap! and progressing to more advanced topics like data science with Python, deep learning with Keras, and cutting-edge generative and agentic AI. Through a combination of lectures and hands-on lab time, students gain practical skills by developing compelling programs and working on projects that apply these concepts to real-world scenarios in machine learning, optimization, computational social science, genomics, and medical diagnosis. The curriculum is designed to be engaging, with past camps incorporating themes like Marvel movies to make learning interactive and fun. Students will learn to transform data into insights and solve complex problems, preparing them for future studies and careers in STEM fields.
A typical day combines video lectures that introduce technical topics with significant hands-on lab time where students work individually or in teams on assignments and projects, with support from teaching assistants.
This camp is best for high school students interested in engineering who have no or minimal background in data science and computer programming, but possess a desire to learn and use a web browser.
University of Southern California
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