The Computer Science Club is running the first code party of the term! Come join us and hack on open source software, your own projects, or whatever comes up. Everyone is welcome; please bring your friends. There will be foodstuffs and sugary drinks available for your hacking pleasure.
The Computer Science Club is running the first code party of the term! Come join us and hack on open source software, your own projects, or whatever comes up. Everyone is welcome; please bring your friends. There will be foodstuffs and sugary drinks available for your hacking pleasure.
CSC Elections have begun for the Spring 2012 term, nominations are open!
It's elections time again! On Thursday May 10th at 4:30PM, come to the Comfy Lounge on the 3rd floor of the MC to vote in this term's President, Vice-President, Treasurer and Secretary. The sysadmin, librarian, and office manager will also be chosen at this time.
Nominations are open until 4:30PM on Wednesday May 9th, and can be written on the CSC office whiteboard (yes, you can nominate yourself). All CSC members who have paid their Mathsoc fee can vote and are invited to drop by. You may also send nominations to the Chief Returning Officer. A full list of candidates will be posted when nominations close.
Good luck to our candidates!
Palantir is a Palo Alto-based intelligence analysis software company that has partnered with the CSC to put on a tech talk and social. There will be free food, free drinks, and for one lucky winner, a free iPad, so why not come on out?
In the aftermath of the 2008 economic crisis, large banks have been saddled with the prospect of foreclosing on millions of distressed mortgages, at a financial cost of billions of dollars and an incalculable social cost. Crucial to solving this problem is the ability to model and analyze these millions of loans in real time, enabling lenders to price homes so that they can find effective and mutually beneficial alternatives to foreclosure.
In this talk, we'll describe how engineers at Palantir are working on a calculation engine that supports such analyses. We'll outline our design goals of constructing a platform that supports queries against large sets of data at interactive speeds and exposes a high-level object-oriented interface that enables analysts to construct models intuitively without having to worry about the underlying implementation details. We'll describe the different architectures we explored in prototyping the system, demo how to use our product to analyze massive datasets, and discuss how we've ultimately deployed it in the field.