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Events for July 18, 2014

  • Repeating EventSix Sigma Black Belt

    Fri, Jul 18, 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 you’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

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    Contact: Viterbi Professional Programs

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  • On the relation between the psychological and thermodynamic arrows of time

    On the relation between the psychological and thermodynamic arrows of time

    Fri, Jul 18, 2014 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Todd A. Brun, USC, Associate Professor

    Talk Title: On the relation between the psychological and thermodynamic arrows of time

    Series: AISeminar

    Abstract: Why do we remember the past, and not the future? Why do we perceive time as flowing, with a fixed past separated from an indefinite future by an instantaneous moment known as `now?' This perception is the psychological arrow of time. In this talk I will lay out an argument that generically the psychological arrow of time should align with the thermodynamic arrow of time where that arrow is well defined. This argument applies to any physical system that can act as a memory, in the sense of preserving a record of the state of some other system. This result follows from two principles: the robustness of the thermodynamic arrow of time to small perturbations in the state, and the principle that a memory should not have to be fine-tuned to match the state of the system being recorded. This argument applies even if the memory system itself is completely reversible and nondissipative. I make the argument using a paradigmatic system, and then formulate it more broadly for any system that can be considered a memory, illustrating it with a few examples.

    Biography: Todd A. Brun received his Ph.D. in Physics from Caltech in 1994, and then held a variety of postdoctoral positions at the University of London, the Institute for Theoretical Physics in Santa Barbara, Carnegie Mellon University, and the Institute for Advanced Study in Princeton, working on various aspects of quantum theory. Since 2003, he has been a faculty member in the Electrical Engineering Department at the University of Southern California, where he works on quantum computers and quantum information science. As a hobby, he thinks about the nature of time.

    Host: Greg Ver Steeg

    Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=bf95b30ee6b34399ad74d741535fa5a71d

    Location: 1135

    WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=bf95b30ee6b34399ad74d741535fa5a71d

    Audiences: Everyone Is Invited

    Contact: Alma Nava / Information Sciences Institute

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  • NL Seminar-An Arabizi-English Social Media Statistical Machine Translation System

    Fri, Jul 18, 2014 @ 03:00 PM - 04:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Jonathan May, USC/ISI

    Talk Title: An Arabizi-English Social Media Statistical Machine Translation System

    Series: Natural Language Seminar

    Abstract: We present a machine translation engine that can translate romanized Arabic, often known as Arabizi, into English. With such a system we can, for the first time, translate the massive amounts of Arabizi that are generated every day in the social media sphere but until now have been uninterpretable by automated means. We accomplish our task by leveraging a machine translation system trained on non-Arabizi social media data and a weighted finite-state transducer-based Arabizi-to-Arabic conversion module, equipped with an Arabic character-based n-gram language model. The resulting system allows high capacity on-the-fly translation from Arabizi to English. We demonstrate via several experiments that our performance is quite close to the theoretical maximum attained by perfect deromanization of Arabizi input. This constitutes the first presentation of an end-to-end social media Arabizi-to-English translation system.


    Biography: Jonathan May is a computer scientist at USC-ISI, where he also received a PhD in 2010. His current focus areas are in machine translation, machine learning, and natural language understanding. Jonathan co-developed and patented a highly portable method for optimizing thousands of features in machine translation systems that has since been incorporated into all leading open source MT systems. He has previously worked in automata theory and information extraction and at SDL Language Weaver and BBN Technologies.

    Host: Aliya Deri and Kevin Knight

    More Info: http://nlg.isi.edu/nl-seminar/

    Location: Information Science Institute (ISI) - 11th Flr. Conf Rm # 1135, Marina Del Rey

    Audiences: Everyone Is Invited

    Contact: Peter Zamar

    Event Link: http://nlg.isi.edu/nl-seminar/

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