Kristofer Siy, Graduate student
Combinatorics and Optimization
Yaron Minsky, Technology Group Head
Jane Street
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.
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.
Yaron Minsky, Technology Group Head
Jane Street
Electronic exchanges play an important role in the world’s financial system, acting as focal points where actors from across the world meet to trade with each other.
But building an exchange is a difficult technical challenge, requiring high transaction rates, low, deterministic response times, and serious reliability.
Mohammad Sadoghi
University of California, Davis
Anonymization with Differential Privacy • Ben Weggenmann
SAP Security Research
Anna Lubiw
David R. Cheriton School of Computer Science
In this talk I will look at geometric graph representations from the perspective of three issues: the algorithmic complexity of finding a representation; the bit complexity of the representation; and whether there is a morph between any two combinatorially equivalent representations.
Amira Ghenai, PhD candidate
David R. Cheriton School of Computer Science
Emily Kozlowski
Department of Statistics and Actuarial Science
A flipped classroom moves the traditional lecture component of teaching outside the classroom, so that it can be replaced with active learning during class time.
In this talk, I present a brief overview of flipped classrooms, followed by a discussion of the details of its implementation for two lectures during the Spring 2018 offering of ACTSC 331. Students’ responses to the technique are also provided in the form of data from anonymous post-activity surveys.
Robin Cohen
David R. Cheriton School of Computer Science
Vijay Ganesh, ECE
University of Waterloo