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About
About
FinDS is a 3-week summer program that is designed to provide high school students with a strong base in the Mathematical Foundations of Data Science, with in-person and virtual options available.
Overview
Overview
FinDS is an innovative program that is designed to provide high school students a strong base in the Mathematical Foundations of Data Science. We do not expect a prior background in data science. A strong background in algebra and willingness to work hard is al that is required to participate in the program. The program is appropriate for any student who has taken Algebra 2. Even college students seeking a solid background in the foundation of data science are welcome to apply.
Computer science and data science are not just about coding, building systems, or crunching data. The pillar of computer science and data science lies in its mathematical foundation. Success in higher studies in computing requires solid backgrounds in Probability, Graph Theory, Calculus, and Linear Algebra. Without probability, there won't be any public-key crypto systems. Without graphs, there won't be any Facebook, Twitter, or Instagram. Without calculus, there won't be any gradient descent algorithms that has transformed machine learning. Without linear algebra, there won't be any Google search engines.
FinDS is a unique summer program sponsored by the National Science Foundation (NSF) supported EnCORE Institute that will solidify students' education in the mathematics behind data science. Upon completion of the course, students will be ready to understand some of the most beautiful innovations of computer and data sciences and can enroll further in a year-long program for advanced education in computer algorithms and machine learnings. The instructors of the course are world-renowned Computer Science and Data Science professors at University of California San Diego, University of California Los Angeles, University of Pennsylvania, and University of Texas Austin. They have over twenty years of experience in research and education in computer science and have won numerous prestigious national and international awards. The course will have both virtual and in person offerings. Generous scholarships are available from NSF.
Instructors
Instructors
Dr. Rajiv Gandhi
University of Pennsylvania & Rutgers University-Camden
Prof. Barna Saha
University of California, San Diego
Prof. Kamalika Chaudhuri
University of California, San Diego & Meta AI
Prof. Sanjoy Dasgupta
University of California, San Diego
Prof. Arya Mazumdar
University of California, San Diego
Prof. Gal Mishne
University of California, San Diego
Prof. Yusu Wang
University of California, San Diego
Program Details
Program Details
Tuition
Tuition
Two Weeks Program: July 31st - August 11th, 2023
In-Person: $1000 (covers all lunches and a daily snack)
Virtual: $675
Three Weeks Program: July 31st - August 18, 2023
In-Person: $1500 (covers all lunches and a daily snack)
Virtual: $1000
Financial assistance is available based on need.
Application Requirements
Application Requirements
When applying, students will need to submit the following in their application:
A personal statement in the form of a PDF (less than 10MB)
An unofficial transcript in the form of a PDF (less than 10MB)
At least 1 letter of recommendation from a STEM teacher by providing their email address. This letter must be sent in by the application deadline.
Location
Location
In-Person Program: UC San Diego, Computer Science, and Engineering Building
9500 Gilman Drive, La Jolla, CA 92093, USA
Virtual Program: Zoom
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