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Events for August 15, 2014
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Six Sigma Black BeltFri, Aug 15, 2014
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Speaker: TBD,
Abstract: Event Dates:
Week 1: July 7 - 11, 2014 from 9:00am - 5:00pm
Week 2: August 11 - 15, 2014 from 9:00am - 5:00pm
Week 3: September 8 - 12, 2014 from 9:00am - 5:00pm
This course teaches you the advanced problem-solving skills you will 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 youââ¬â¢ve learned. This course is presented 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 USC and IIE's 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.
More Info
Host: Professional Programs
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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M.S. Computer Science Student Advising Session
Fri, Aug 15, 2014 @ 10:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
New and continuing M.S. computer science students can obtain walk in advisement by attending this advisement session. Flor and Ryan will be available to assist you and answer any questions you may have.
Location: John Stauffer Science Lecture Hall (SLH) - 200
Audiences: Graduate
Contact: Ryan Rozan
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AI Seminar-Using Friends as Sensors to Detect Global-Scale Contagious Outbreaks
Fri, Aug 15, 2014 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Esteban Moro, Universidad Carlos III de Madrid
Talk Title: Using Friends as Sensors to Detect Global-Scale Contagious Outbreaks
Series: Artificial Intelligence Seminar
Abstract: Recent research has focused on the monitoring of global-scale online data for improved detection of epidemics, mood patterns, movements in the stock market, political revolutions, box-office revenues, consumer behaviour and many other important phenomena. However, privacy considerations and the sheer scale of data available online are quickly making global monitoring infeasible, and existing methods do not take full advantage of local network structure to identify key nodes for monitoring. Here, we develop a model of the contagious spread of information in a global-scale, publicly-articulated social network and show that a simple method can yield not just early detection, but advance warning of contagious outbreaks. In this method, we randomly choose a small fraction of nodes in the network and then we randomly choose a "friend" of each node to include in a group for local monitoring. Using six months of data from most of the full Twittersphere, we show that this friend group is more central in the network and it helps us to detect viral outbreaks of the use of novel hashtags about 7 days earlier than we could with an equal-sized randomly chosen group. Moreover, the method actually works better than expected due to network structure alone because highly central actors are both more active and exhibit increased diversity in the information they transmit to others. These results suggest that local monitoring is not just more efficient, it is more effective, and it is possible that other contagious processes in global-scale networks may be similarly monitored. Finally, we show the effectiveness of the method in the recent Twitter activity during hurricane Sandy.
Biography: BSc in Physics (1994) from the University of Salamanca and PhD in Physics from the University Carlos III of Madrid (1999). Researcher at the University of Oxford (1999-2001) and Ramón y Cajal University Carlos III in Madrid (2003-2007). Associate Professor at Universidad Carlos III. He has published over 40 articles and have led and participated in over 20 projects funded by government and companies. His areas of interest are random processes, financial mathematics, viral marketing, social networks. He works as a consultant in social networks for the Institute of Knowledge Engineering. It was awarded "Shared University Award" from IBM in 2007 for modeling the spread of information in social networks and application to viral marketing. And Research Excellence Award in 2013 by the Carlos III University of Madrid.
Home Page/ Blog:
http://estebanmoro.org
markov.uc3m.es
Host: Kristina Lerman
Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=052c65d179f94ec995d9b00659196b761dLocation: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=052c65d179f94ec995d9b00659196b761d
Audiences: Everyone Is Invited
Contact: Peter Zamar
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M.S. Computer Science Student Advising Session
Fri, Aug 15, 2014 @ 02:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
New and continuing M.S. computer science students can obtain walk in advisement by attending this advisement session. Flor and Ryan will be available to assist you and answer any questions you may have.
Location: John Stauffer Science Lecture Hall (SLH) - 100
Audiences: Graduate
Contact: Ryan Rozan
