Welcome to CIS 800/002, The Algorithmic Foundations of Data Privacy at the University of Pennsylvania. The class will meet Tuesdays and Thursdays from 1:30-3:00 pm in Towne 315.
This class will serve as an introduction to research in differential privacy and is designed for graduate students wanting to familiarize themselves and contribute to research in this area. This course will be graded on two components: A semester-long research project, and participation, which will include contributing posts to this blog. Posts will include math, so make sure you can see the embedded 
![\Pr[M(D) \in S] \leq \exp(\epsilon)\Pr[M(D') \in S] + \delta](https://s0.wp.com/latex.php?latex=%5CPr%5BM%28D%29+%5Cin+S%5D+%5Cleq+%5Cexp%28%5Cepsilon%29%5CPr%5BM%28D%27%29+%5Cin+S%5D+%2B+%5Cdelta&bg=ffffff&fg=7a7a7a&s=0 "\Pr[M(D) \in S] \leq \exp(\epsilon)\Pr[M(D') \in S] + \delta")
The first class will be on Thursday, September 8th. See you there!
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Hi Aaron, where can we find the slides? Thanks.
The slides for todays class are now on the course website. I’ll in general try to post the slides to the website after each class.
— Aaron
Great, thanks.
-Nan