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Events Calendar



Events for August 08, 2014

  • Repeating EventSix Sigma Black Belt

    Fri, Aug 08, 2014

    Distance Education Network

    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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    Posted By: Viterbi Professional Programs

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  • Meet USC: Admission Presentation, Campus Tour, & Engineering Talk

    Fri, Aug 08, 2014

    Viterbi School of Engineering Undergraduate Admission

    Receptions & Special Events


    This half day program is designed for prospective freshmen and family members. Meet USC includes an information session on the University and the Admission process; a student led walking tour of campus and a meeting with us in the Viterbi School. Meet USC is designed to answer all of your questions about USC, the application process and financial aid. Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m. Please visit https://esdweb.esd.usc.edu/unresrsvp/MeetUSC.aspx to check availability and make an appointment. Be sure to list an Engineering major as your "intended major" on the webform!

    Location: Ronald Tutor Campus Center (TCC) -

    Audiences: Everyone Is Invited

    Posted By: Viterbi School of Engineering Undergraduate Admission

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  • AI Seminar

    Fri, Aug 08, 2014 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Joel Tropp, Caltech

    Talk Title: Finding Structure with Randomness: Stochastic Algorithms for Numerical Linear Algebra

    Abstract: Computer scientists have long known that randomness can be used to improve the performance of algorithms. A familiar application is the process of dimension reduction, in which a random map transports data from a high-dimensional space to a lower-dimensional space while approximately preserving some geometric properties. By operating with the compact representation of the data, it is possible to produce approximate solutions to certain large problems very efficiently.

    Recently, it has been observed that dimension reduction has powerful applications in numerical linear algebra and numerical analysis. This tutorial will offer a high-level introduction to randomized methods for some of the core problems in this field. In particular, it will cover techniques for constructing standard matrix factorizations, such as the truncated singular value decomposition and the Nystrom approximation. In practice, the algorithms are so effective that they compete with‚ or even outperform‚ classical algorithms. These methods are likely to have significant applications in modern large-scale learning systems.

    Biography: Joel A. Tropp is Professor of Applied & Computational Mathematics at the California Institute of Technology. He earned his PhD degree in Computational Applied Mathematics from the University of Texas at Austin in 2004. Dr. Tropp’s work lies at the interface of applied mathematics, electrical engineering, computer science, and statistics. This research concerns the theoretical and computational aspects of data analysis, sparse modeling, randomized linear algebra, and random matrix theory. Dr. Tropp has received several major awards for young researchers, including the 2007 ONR Young Investigator Award and the 2008 Presidential Early Career Award for Scientists and Engineers. He is also the winner of the 6th Vasil A. Popov prize and the 2011 Monroe H. Martin prize.

    Host: Greg Ver Steeg

    Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=20188709a05e4b678dfa2c2d588408ad1

    Location: Information Science Institute (ISI) - 11th floor large conference room

    WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=20188709a05e4b678dfa2c2d588408ad1d

    Audiences: Everyone Is Invited

    Posted By: Kary Lau

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  • M.S. Computer Science Student Advising Session

    Fri, Aug 08, 2014 @ 02:30 PM - 04:00 PM

    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

    Posted By: Ryan Rozan

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  • NL Seminar: "Rapid Generation of Pronunciation Dictionaries for New Domains and Languages

    Fri, Aug 08, 2014 @ 03:00 PM - 04:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Tim Schlippe, Karlsruhe Institute of Technology

    Talk Title: NL Seminar

    Series: Natural Language Seminar

    Abstract: Automatic speech recognition systems exist only for a small fraction of the more than 7,100 languages in the world since the development of such systems is usually expensive and time-consuming. Therefore, porting speech technology rapidly to new languages with little effort and cost is an important part of research and development. Pronunciation dictionaries are a central component for both automatic speech recognition and speech synthesis. They provide the mapping from the orthographic form of a word to its pronunciation, typically expressed as a sequence of phonemes. I will present innovative strategies and methods for the rapid generation of pronunciation dictionaries for new application domains and languages. Depending on various conditions, solutions are developed and proposed - starting from the simple scenario in which the target language can be found in written form on the Internet and we have a simple mapping between speech and written language - up to
    the difficult scenario in which no written form for the target language exists. We embedded many of the tools implemented in this work in the Rapid Language Adaptation Toolkit. Its web interface is publicly accessible and allows people to build first speech recognition systems with little technical background.


    Biography: Since 2008 Tim Schlippe is a research assistant and PhD student at Karlsruhe Institute of Technology (KIT), Institute for Anthropomatics, in Germany. At KIT he is involved in teaching and several projects. He has published multiple publications in the field of multilingual speech recognition. For his master's thesis he was as a visiting researcher at Carnegie Mellon University, doing research in the field of statistical machine translation. Tim Schlippe will finish his PhD in November 2014. His current research interests are: Multilingual speech recognition with a focus on rapid adaptation of speech recognition systems to new domains and languages, pronunciation modeling, and language modeling.

    Home Page:
    http://csl.ira.uka.de/ schlippe/

    Host: Aliya Deri and Kevin Knight

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

    Location: Information Science Institute (ISI) - 11th Floor Conf Rm (#1135)

    Audiences: Everyone Is Invited

    Posted By: Peter Zama

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