The camp offers a multi-level curriculum, from visual programming for beginners to advanced Generative AI and Agentic AI using Python and Keras, catering to a wide range of high school student experience levels.
The Seth Bonder Camp in Computational and Data Science for Engineering offers high school students an immersive experience in the fields of computational and data science. Participants gain practical skills through hands-on projects and real-world applications in areas such as machine learning, optimization, computational social science, and genomics. The camp introduces core computational concepts using visual programming languages like Snap! for beginners, and progresses to Python for more experienced students. The advanced track delves into Generative AI and Agentic AI, utilizing powerful libraries like Keras for deep learning. Students learn to analyze data, develop programs, and apply their knowledge to solve complex problems, fostering an understanding of how data and algorithms impact various disciplines.
A typical day combines lectures with significant lab time, during which students develop compelling programs and work on hands-on projects.
The camp is ideal for high school students interested in engineering, computer science, and data science, particularly those with little or no prior programming experience, as well as those ready for advanced AI topics.
Georgia Institute of Technology, Atlanta, GA
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