The Carnegie Pulse: Pulse Scheduler: 17-802 Privacy and Anonymity in Data

17-802 Privacy and Anonymity in Data

Units:	12.0
Department:	Software Engineering
Cross-listed:	10-711 , 15-394
Related URLs:	http://privacy.cs.cmu.edu/courses/pad1/index.html

TUES, THURS 3:00 PM - 4:20 PM; Cross-listed with 15-394 (CSD); This course introduces students to concepts and methods for creating technologies and related policies with provable guarantees of privacy protection while allowing society to collect and share person-specific information for many worthy purposes. Methods include those related to the identifiability of data, record linkage, data profiling, data fusion, data anonymity, de-identification, policy specification and enforcement and privacy-preserving data mining. Students get hands-on experience at being "data detectives" and acquire knowledge from publicly available information by building dossiers and identifying individuals from seemingly anonymous or innocent data. Conversely, students also learn to be "data protectors" by developing and assessing privacy protocols, algorithms and anonymity protection schemes to protect inferences in shared data. Students learn a 6-prong approach at assessing and constructing technologies that are provably fit for a stated purpose in a social-legal-organizational setting. Emerging technologies examined include: face recognition software, biometrics, surveillance systems, personal information capturing tools and position location technology (GPS, E911 telephones, IR tags). Related topics are drawn from: data mining, information retrieval, web technology, computer security, cryptography, relational databases, statistics and political philosophy.

Popularity index

Rank for this semester:	#829

Rank in this department:	#4

Students also scheduled

Spring 2005 times

Sec	Time	Day	Instructor	Location
A	3:00 - 4:20 pm	T	Sweeney	WEH 5419AB

		R	Sweeney	WEH 5419AB