The program is sponsored by the National Science Foundation (NSF) and provides a unique opportunity to interact with world-renowned faculty from top universities.
The UC San Diego Foundations in Data Science (FinDS) Advanced Program is an intensive pre-college program for high school students with strong mathematical backgrounds. This hybrid program focuses on the mathematical foundations of data science, moving beyond just coding to explore the underlying principles of algorithms and machine learning. Students will implement and experiment with advanced algorithms and machine learning concepts. The curriculum covers topics from Probability to Randomized & Streaming Algorithms, Linear Algebra & Graph Theory to Google search algorithms, and Calculus to pervasive ML algorithms like Gradient Descent & Stochastic Gradient Descent. The program aims to bridge the gap in math education for future careers in data science and computer science, provide early research opportunities, and allow interaction with faculty dedicated to outreach and diversity. Advanced Program students who excel may have the opportunity to engage in research projects with UCSD graduate students after the program's completion.
A typical day for in-person engagement consists of 2 hours of lecture followed by problem-solving sessions, allowing for one-to-one and group discussions.
This program is ideal for high school students who have participated in FinDS Beginners or equivalent programs and are looking to delve into advanced topics in algorithms and machine learning with a strong mathematical foundation.
UC San Diego Campus & Online
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