ECE 598

Spring 2015 Part of Term 1

Part of Term 1
Jan 20-May 6

Credit: 0 TO 4 hours.

Subject offerings of new and developing areas of knowledge in electrical and computer engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites.

May be repeated in the same or separate terms if topics vary.

ECE 598 class schedule data for spring 2015
CRN Type Section Time Day Location Instructor Section Details
34021
Discussion/
Recitation
DN
2:00PM -3:20PM
MW
Electrical & Computer Eng Bldg
Nicol, D
Part of Term:
1
Date Range:
01/20/15-05/06/15
Credit:
4 hours
Section Info:
Topic: Science of Computer Security. Prerequisites: CS 463/ ECE 424 or equivalent, or consent of instructor. The security of computers, communications, and data is of great concern to our society. Decades of research have produced solutions to a variety isolated problems, some of which have been produced using techniques that are recognizable as ?scientific?, others of which appear to be ad-hoc. There is a growing sentiment in the community that research in security should be conducted when possible on a scientific or engineering basis. This course examines the questions of what might constitute a science of security, framing the questions around five ?hard areas? proposed by the NSA: Composition, Policy, Metrics, Resiliency, and Human Factors. The students will read and present papers from the literature that exemplify a scientific approach to security, and write essays on the questions raised by the course. The course is intended for graduate students interested in trustworthy systems research.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
44223
Lecture
NB
11:00AM -12:15PM
TR
Electrical & Computer Eng Bldg
Borisov, N
Part of Term:
1
Date Range:
01/20/15-05/06/15
Credit:
4 hours
Section Info:
Title: Privacy Enhancing Technologies. Prerequisites: CS 461/ECE 422 or CS 463/ECE 424 or consent of instructor. A review of both foundational and recent research results in the field of privacy enhancing technologies, including anonymous communications, censorship circumvention, digital currencies, privacy-enhanced credentials, electronic voting, and privacy-preserving computation.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
60363
Lecture
PM
2:00PM -3:20PM
TR
Electrical & Computer Eng Bldg
Moulin, P
Part of Term:
1
Date Range:
01/20/15-05/06/15
Credit:
4 hours
Section Title:
Comput. Inference & Learning
Section Info:
Prerequisites: ECE 490, ECE 534. Computational inference and machine learning have seen a surge of interest in the last 15 years, motivated by applications as diverse as computer vision, speech recognition, analysis of networks and distributed systems, big-data analytics, large-scale computer simulations, and indexing and searching of very large databases. This new course will introduce the mathematical and computational methods that enable such applications. Topics include computational methods for statistical inference, information theory, sparsity analysis, approximate inference and search, and fast optimization.
Restriction(s):
Restricted to Graduate - Urbana-Champaign.
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