This workshop will introduce participants to the Julia programming language. Julia is a flexible dynamic language, appropriate for scientific and numerical computing, with performance comparable to traditional statically-typed languages. One can write code in Julia that is nearly as fast as C. Julia features optional typing, multiple dispatch, and good performance, achieved using type inference…

Do you want to be in the service of humanity, but you’re not sure how to take the next step? Successful entrepreneurs across the globe have faced this same conundrum. It’s easy to overlook the fact that social or non-profit ventures are examples of entrepreneurship, though their innovations can have enormous global impact.

This workshop will feature PhD candidate panelists from the humanities, sciences and engineering who will share their stories about navigating graduate school and preparing for their careers.

For undergraduate and graduate students interested in interning with a startup company. The Princeton Startup Immersion Program (PSIP) is a Keller Center program that brings Princeton students a global internship experience.

Universal coding, prediction and learning usually consider the case where the data generating mechanism is unknown or non-existent, and the goal of the universal scheme is to compete with the best hypothesis from a given hypothesis class, either on the average or in a worst-case scenario. Multiple universality considers the case where the hypothesis class…

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This workshop introduces the research computing ecosystem at Princeton: the computing clusters (Nobel, Adroit, Della, Stellar, Tiger and Traverse), the storage systems available, and the data visualization machines. After an overview of the different systems and the sorts of tasks each is geared toward, the course gives users a hands-on introduction to technical topics including:…