If the answer is yes and you happen to be a high school student in the US, interested in learning more over the summer, then you should check out SPARC. Here’s the text from their webpage.
How do computers play chess? How does your phone correctly detect faces in an image? Can we model human decision-making, and once we do that, can we make it better? SPARC is a two-week high school summer program that explores the answers to all of these questions through a core curriculum of probability theory, computer science, and cognitive science. In addition, we will have enrichment classes that give students a preview of college-level science while also showing how it can be applied in work and in life.
For instance, at SPARC you will learn Bayesian statistics, which can be used to identify genetic factors of diseases, improve the quality of digital communications, and model the meanings of words. You will also learn about the microeconomic concepts of fungibility and value of information and how they apply to practical decision-making (such as choosing a summer job or what classes to take). Perhaps most importantly, you’ll be surrounded by a community of other highly talented students, junior counselors, and instructors. And, to make sure that we really do get the best participants possible, SPARC is completely free to all admitted students.
So, if you’re ready to spend two weeks with a bunch of awesome students while learning some of the most useful math and science we can think of, what are you waiting for? Apply now. Still not sure? Check out our syllabus.
Any question not answered here? Check out the FAQ.
SPARC 2013 will be held at the University of California, Berkeley from August 5th to August 17th. Students will be hosted in Berkeley dormitories and will eat at the dining halls. Room and board are free to admitted students; scholarships to cover the cost of flights to and from the program are also available.
The instructors are all very talented people! One of them is Qiaochu Yuan, who you may know from Annoying Precision.