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Thursday, October 4, 2018 10:30 am - 10:30 am EDT (GMT -04:00)

Mathematics Education Seminar — Flipped Classrooms in a 3rd Year ACTSC Course

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.

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.

Monday, October 15, 2018 1:30 pm - 1:30 pm EDT (GMT -04:00)

Seminar • Programming Languages — State Machine Replication and the Modern Exchange

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.

Monday, October 15, 2018 5:30 pm - 5:30 pm EDT (GMT -04:00)

Jane Street Tech Talk — Data Driven UIs, Incrementally

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.

Friday, October 19, 2018 2:00 pm - 2:00 pm EDT (GMT -04:00)

Seminar • Systems and Networking — RFID Hacking for Fun and Profit

Ju Wang, Postdoctoral fellow
David R. Cheriton School of Computer Science

Passive radio frequency identification (RFID) tags are ubiquitous today due to their low cost (a few cents), relatively long communication range (7–11 m), ease of deployment, lack of battery, and small form factor. This talk shows how even hobbyists can transform commodity RFID tags into sensors by physically altering ('hacking') them using COTS sensors and a pair of scissors. Importantly, this requires no change to commercial RFID readers.

Wednesday, October 24, 2018 12:15 pm - 12:15 pm EDT (GMT -04:00)

PhD Seminar • Data Systems — RDF Data Quality

Mina Farid, PhD candidate
David R. Cheriton School of Computer Science

RDF has become a prevalent format to represent disparate data that is ingested from heterogeneous sources. However, data often contains errors due to extraction, transformation, and integration problems, leading to missing or contradicting information that propagate to downstream applications.