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Events for December 07, 2010
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Six Sigma Black BeltTue, Dec 07, 2010
Executive Education
Conferences, Lectures, & Seminars
Speaker: Multiple Instructors,
Talk Title: Six Sigma Black Belt
Series:
Abstract: This course teaches you the advanced problem-solving skills you'll need in order to measure a process, analyze the results, develop process improvements and quantify the resulting savings. Project assignments between sessions require you to apply what youâve learned. This course is presented in the classroom in three five-day sessions over a three-month period.
Learn the advanced problem-solving skills you need to implement the principles, practices and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn IIEâs Six Sigma Black Belt Certificate.This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis and simulation. Computer applications are emphasized.
Biography:
Host: Viterbi Professional Programs
More Info: http://mapp.usc.edu/professionalprograms/ShortCourses/SixSigmaBlackBelt.htmLocation: USC campus or Online
Audiences: Registered Attendees Only
Contact: Viterbi Professional Programs
Event Link: http://mapp.usc.edu/professionalprograms/ShortCourses/SixSigmaBlackBelt.htm
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Fall Study Day
Tue, Dec 07, 2010 @ 10:00 AM - 04:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Come join other Viterbi undergrads and get ready for finals!
Fall Study Day will be held on Tuesday, December 7th in Ronald Tutor Hall.
⢠10am-1pm: Study sessions will be held for:
-BME 101
-CSCI 101
-EE 101
-MATH 125 & 126
-PHYS 151
Upper class study partners will be on hand to answer questions.
⢠1pm-4pm: Study space available throughout first and second floors of RTH.
⢠Snacks and care packages will be provided to participants.
Just come to the lobby of RTH with your books, notes, and a desire to study for finals.
Stop by VARC (RTH 222) for more information! Or email viterbi.varc@usc.edu.Location: Ronald Tutor Hall of Engineering (RTH) -
Audiences: Undergrad
Contact: Viterbi Academic Resource Center
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Practical Reasoning with Transaction Logic Programming for Knowledge Base Dynamics
Tue, Dec 07, 2010 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Paul Fodor, Ph.D.
Talk Title: Practical Reasoning with Transaction Logic Programming for Knowledge Base Dynamics
Abstract: Abstract: Transaction Logic is an extension of classical predicate calculus for representing declarative and procedural knowledge in logic programming, databases, and artificial intelligence. Since it provides a logical foundation for the phenomenon of state changes, it has been successful in areas as diverse as workflows, planning, reasoning about actions, Web services, security policies, active databases and more. Although a number of implementations of Transaction Logic exist, none is logically complete due to the time and space complexity of such implementations. In the first part of this talk, I describe an approach for performing actions in the logic, which has better complexity and termination properties via a logically complete tabling evaluation strategy. Then I describe a series of optimizations, which make this algorithm practical and analyze their performance on a set of benchmarks. Our performance evaluation study shows that the tabling algorithm can scale well both in time and space. Appart from applications in classical logic programming use cases we used the new system for applications in the complex event processing domain. In the second part of the talk, I describe our extension of Transaction Logic in the direction of defeasible reasoning, which has a number of interesting applications, including specification of defaults in action theories and heuristics for directed search in planning. In this setting we showed that heuristics expressed as defeasible actions can significantly reduce the search space and thus the execution time and space requirements.
Biography:
Bio: Paul Fodor obtained a Bachelor and a Master of Engineering in Computer Science from the Technical University of Cluj-Napoca, Romania, a M.Sc. from the Computer Science Department, State University of New York at Stony Brook in 2006 and is expected to graduate with Ph.D. in 2010. His PhD has resulted in multiple peer-reviewed publications and presentations in conferences such as WWW, ICLP, PPDP, Web Rules and Reasoning, DEBS, AAAI, PADL, ACL, and LTC. He has supplemented his academic research with industrial experience by working as a developer at DaimlerChrysler AG and IBM and as a research intern for three summers at IBM. In IBM TJ Watson Research he worked on the Watson NLP system scheduled to play on the Jeopardy! TV quiz show. As a Ph.D. student, Paul worked on declarative rule languages and logic used as a specification language and implementation framework for active knowledge bases. Through his work, Paul also contributed to several large software projects: OpenRuleBench (a suite of benchmarks for analyzing the performance and scalability of rule systems for the semantic Web), Event Transaction Logic Inference System - ETALIS (a declarative complex event processing language), Semantic Inferencing on Large Knowledge - SILK (a multi-institution project sponsored by Vulcan Inc. aiming to provide knowledge representation infrastructure for very large knowledge bases), and Unstructured Information Management Architecture UIMA (an industrial-strength, scalable and extensible platform for creating, integrating and deploying unstructured information management systems).
Host: Professor Viktor K. Prasanna
Location: Ronald Tutor Hall of Engineering (RTH) - 324
Audiences: Everyone Is Invited
Contact: Janice Thompson
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CS Colloquium
Tue, Dec 07, 2010 @ 03:30 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Vladimir Braverman, UCLA
Talk Title: Space-efficient Algorithms for Data Streams by Vladimir Braverman
Abstract: Data streams is an important area of theoretical computer science with many practical applications. We will define the basic model of data streams and will explain some fundamental algorithms and methods that shaped the area of data streams. Also, we will survey some of our recent results for data streams and discuss current challenges and open problems.
Biography: Vladimir Braverman is a Ph.D. candidate at UCLA; his advisor is Rafail Ostrovsky. His main interests are algorithms for data streams, communication complexity and related areas. He received his B.Sc. and M.Sc. degrees from Ben-Gurion University Israel, where his advisor was Daniel Berend. Prior to attending UCLA, he led a research team at HyperRoll, working with Yossi Matias.
Host: Prof. David Kempe
Location: SSL 150
Audiences: Everyone Is Invited
Contact: Kanak Agrawal
