Add jane street talk and code party 0

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Neil Parikh 2018-10-11 19:01:21 -04:00
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<!DOCTYPE eventdefs SYSTEM "csc.dtd" [<!ENTITY mdash "&#x2014;">]>
<eventdefs>
<!-- Fall 2018 -->
<eventitem date="2018-10-18" time="6:30 pm" room="EV3-1408"
title="Code Party 0">
<short>
<p>
The CS Club is hosting our first Code Party of the term from 6:30pm until ~9:30pm in EV3-1408, on Thursday October 18.
</p>
</short>
<abstract>
<p>
The CS Club is hosting our first Code Party of the term from 6:30pm until ~9:30pm in EV3-1408, on Thursday October 18.
</p>
<p>
Come code with us, eat some food, do some things.
</p>
<p>
Personal projects you want to work on? Homework projects you need to finish? Or want some time to explore some new technology and chat about it? You can join us at Code Party 0 and do it, with great company and great food.
</p>
<p>
Come any time after 6:30pm.
</p>
</abstract>
</eventitem>
<eventitem date="2018-10-15" time="5:30 pm" room="DC 1302"
title="Data Driven UIs, Incrementally">
<short>
<p>
Jane Street's Yaron Minsky is coming to Waterloo to give a talk aimed at undergraduate students.
</p>
</short>
<abstract>
<p>
Jane Street's Yaron Minsky is coming to Waterloo to give a talk aimed at
undergraduate students. The talk titled Data Driven UIs, Incrementally
will be held in DC 1302 on Oct. 15th 5:30-6:30pm. Yaron Minsky got his
BA in Mathematics from Princeton and his PhD in Computer Science from
Cornell, where he studied distributed systems. He joined Jane Street in
2003, where he started out developing quantitative trading strategies,
going on to found the firm's quantitative research group. Here's a brief
description of the talk:
</p>
<p>
Trading in financial markets is a data-driven affair, and as such, it
requires applications that can efficiently filter, transform and
present data to users in real time.
</p>
<p>
But there's a difficult problem at the heart of building such
applications: finding a way of expressing the necessary
transformations of the data in a way that is simultaneously easy to
understand and efficient to execute over large streams of data.
</p>
<p>
This talk will show how we've approached this problem using
Incremental, an OCaml library for constructing dynamic computations
that update efficiently in response to changing data. We'll show how
Incremental can be used throughout the application, from the servers
providing the data to be visualized, to the JavaScript code that
generates DOM nodes in the browser. We'll also discuss how these
applications have driven us to develop ways of using efficiently
diffable data structures to bridge the worlds of functional and
incremental computing.
</p>
</abstract>
</eventitem>
<eventitem date="2018-10-03" time="7:00 pm" room="Columbia Lake Firepit 2"
title="CSC &amp; WiCS &amp; MathSoc go outside!">
<short>