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Events for March 28, 2013

  • Six Sigma Black Belt

    Thu, Mar 28, 2013 @ 09:00 AM - 05:00 PM

    Executive Education

    Conferences, Lectures, & Seminars


    Speaker: TBA,

    Talk Title: Six Sigma Black Belt

    Abstract: Course Overview

    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 you’ve 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 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.


    NOTE: Participants must bring a laptop computer running Microsoft Office® to the seminar.

    Course Topics

    * Business process management
    * Computer applications
    * Design of experiments (DOE)
    * Design for Six Sigma (DFSS)
    * DMAIIC
    * Enterprisewide deployment
    * Lean enterprise
    * Project management
    * Regression and correlation modeling
    * Statistical methods and sampling
    * Statistical process control
    * Team processes

    Benefits

    Upon completion of this course, you will be able to:

    * Analyze process data using comprehensive statistical methods
    * Control the process to assure that improvements are used and the benefits verified
    * Define an opportunity for improving customer satisfaction
    * Implement the recommended improvements
    * Improve existing processes by reducing variation
    * Measure process characteristics that are critical to quality

    Who Should Attend

    * VPs, COOs, CEOs
    * Employees new to a managerial position
    * Employees preparing to make the transition to managerial roles
    * Current managers wanting to hone leadership skills
    * Anyone interested in implementing Lean or Six Sigma in their organization

    Program Fees

    On-Campus Participants: $6095
    Includes continental breakfasts, lunch and all course materials. The fee does not include hotel accommodations or transportation.

    Online Participant with Live Session Interactivity: $6095

    Includes attendee access codes for live call-in or chat capabilities during class sessions. Also includes all course and lecture materials available for live stream or download.



    Reduced Pricing:

    Institute of Industrial Engineers (IIE): Reduced pricing is available for members of IIE. Please contact professional@mapp.usc.edu for further information.

    Trojan Family: USC alumni, current students, faculty, and staff receive 10% reduced pricing on registration.

    Boeing: Boeing employees receive 20% off registration fees (please use Boeing email address when registering).

    Location
    Two course delivery options are available for participants, on-campus and online with interactivity:

    On-Campus Course is held in state-of-the-art facilities on the University of Southern California campus, located in downtown Los Angeles. Participants attending on-campus will have the option to commute to the course or stay at one of the many hotels located in the area. For travel information, please visit our Travel section.

    Overview of on-campus option:

    * The ability to interact with faculty and peers in-person.
    * Access to hard copy course materials.
    * Ability to logon and view archived course information - up to 7 days after the course has been offered. This includes course documents and streaming video of the lectures.
    * If there is a conflict during any on-campus course dates, on-campus participants can elect to be an online/interactive student.
    * Parking, refreshments and lunch are provided for on-campus participants – unless otherwise specified.

    Online (Interactivity) Course delivery is completely online and real-time, enabling interaction with the instructor and fellow participants. Participants have the flexibility of completing the course from a distance utilizing USC's Distance Education Network technology. Students are required to be online for the entirety of each day's session.

    Overview of online (interactive):

    * Virtually participate in the course live – with the ability to either ask questions or chat questions to the entire class.
    * WebEx technologies provide the option to call into the class and view the entire lecture/materials on a personal computer, or to participate on a computer without having to utilize a phone line.
    * Ability to logon and view archived course information up to 7 days after the course has been offered. This includes course documents and streaming video of the lectures.

    Continuing Education Units
    CEUs: 10.5 (CEUs provided by request only)


    USC Viterbi School of Engineering Certificate of Participation is awarded to all participants upon successful completion of course.

    Upon completion, participants will also receive their Institute of Industrial Engineers certification in SIx Sigma Black Belt.

    Host: Corporate and Professional Programs

    More Info: http://gapp.usc.edu/professional-programs/short-courses/industrial%26systems/six-sigma-black-belt

    Audiences: Registered Attendees

    Contact: Viterbi Professional Programs

    Event Link: http://gapp.usc.edu/professional-programs/short-courses/industrial%26systems/six-sigma-black-belt

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  • Repeating EventFocused on parallel and distributed computing

    Thu, Mar 28, 2013 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: TBA, TBA

    Talk Title: TBA

    Series: EE598 Seminar Course

    Abstract: Weekly seminars given by researchers in academia and industry including senior doctoral students in EE, CS and ISI covering current research related to parallel and distributed computation including parallel algorithms, high performance computing, scientific computation, application specific architectures, multi-core and many-core architectures and algorithms, application acceleration, reconfigurable computing systems, data intensive systems, Big Data and cloud computing.

    Biography: Prerequisite: Students are expected to be familiar with basic concepts at the level of graduate level courses in Computer Engineering and Computer Science in some of these topic areas above. Ph.D. students in Electrical Engineering, Computer Engineering and Computer Science can automatically enroll. M.S. students can enroll only with permission of the instructor. To request permission send a brief mail to the instructor in text format with the subject field “EE 598”. The body of the mail (in text format) should include name, degree objective, courses taken at USC and grades obtained, prior educational background, and relevant research background, if any.

    Requirements for CR:
    1. Attending at least 10 seminars during the semester
    There will be a sign-in sheet and a sign-out sheet at every seminar. All students must sign-in (before 2:00pm) and sign-out (after 3:00pm). The sign-in sheet will not be available after 2:00pm, and the sign-out sheet will not be available before 3:00pm.

    2. Submitting a written report for at least 5 seminars
    The written report for each seminar must be 1-page single line spaced format with font size of 12 (Times) or 11 (Arial) without any figures, tables, or graphs. The report must be submitted no later than 1 week after the corresponding seminar, and must be handed only to the instructor either on the seminar times or during office hours. Late reports will not be considered.
    The report must summarize student’s own understanding of the seminar, and should contain the following:
    - Your name and submission date [1 line]
    - Title of the seminar, name of the speaker, and seminar date [1 line]
    - Background of the work (e.g., applications, prior research, etc.) [1 paragraph]
    - Highlights of the approaches presented in the seminar [1-2 paragraphs]
    - Main results presented in the seminar [1-2 paragraphs]
    - Conclusion (your own conclusion and not what was given by the speaker) [1 paragraph]
    Reviewing papers related to the topic of the seminar, and incorporating relevant findings in the
    reports (e.g., in the conclusion section) is encouraged. In such cases, make sure to clearly indicate
    the reference(s) used to derive these conclusions.

    Host: Professor Viktor K. Prasanna

    More Information: Course Announcement_EE598_Focused on parallel and distributed computing_(Spring 2013).pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) -

    Audiences: Everyone Is Invited

    View All Dates

    Contact: Janice Thompson

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  • EE 598: ELECTRICAL ENGINEERING RESEARCH SEMINAR COURSE #10

    Thu, Mar 28, 2013 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Lizhong Chen, PhD Candidate, Electrical Engineering USC Viterbi School of Engineering

    Talk Title: Energy-efficient On-chip Networks for Many-core Processors

    Series: EE598 Seminar Course

    Abstract: Energy-efficient processors are of paramount importance to designing computing systems that deliver superior performance-cost trade-offs. However, as the key communication subsystem of many-core processors, the on-chip network consumes a substantial percentage of the chip’s power and energy. In this talk, we analyze the energy consumption of on-chip networks and discuss the opportunities and challenges in reducing it, with an emphasis on minimizing static power by developing effective power-gating schemes. Two novel designs, namely node-router decoupling and proactive power-gating are proposed to provide architectural support for effective power-gating. These designs not only reduce static power, but also open up new opportunities for optimizing power-gating that is particularly needed for current on-chip networks.

    Biography: Lizhong Chen is a PhD candidate working with Prof. Timothy Pinkston in the Ming Hsieh Department of Electrical Engineering at the University of Southern California, Los Angeles. His research focuses on energy-efficient and high-performance interconnection networks for chip multiprocessors and super-computers. His research has been published at top venues in computer architecture, including MICRO, HPCA and IPDPS. He received his BS degree in Electrical Engineering from Zhejiang University in 2009 and MS degree in Electrical Engineering from USC in 2011.



    Host: Professor Viktor K. Prasanna

    More Information: Course Announcement_EE598_Focused on parallel and distributed computing_(Spring 2013) 2.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Contact: Janice Thompson

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  • CS Colloquium: Manuel Egele (Carnegie Mellon University): Opposites Attract -- Static analysis on mobile apps for security and privacy

    Thu, Mar 28, 2013 @ 03:30 PM - 05:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Manuel Egele, Carnegie Mellon University (CyLab)

    Talk Title: Opposites Attract -- Static analysis on mobile apps for security and privacy

    Series: CS Colloquium

    Abstract: Mobile devices are ubiquitous. Apple sold more than 400 million iOS devices to date, and it has been reported that more than 500 million Android-based devices are in customers' hands. These devices open exciting new avenues of innovation such as location-based services and mobile payment. Of course, the user has a legitimate desire to keep the privacy-sensitive data maintained and collected by these smart devices safe and secure. Unfortunately, mobile devices frequently expose such information to prying third-party applications (apps). In this talk, I will demonstrate how novel static analysis techniques can be used to automatically assess whether apps adhere to the user's expectation of privacy. My binary static analysis platform (PiOS) has the capability to evaluate many different security properties on iOS applications. For example, PiOS automatically detected numerous popular applications that leak privacy sensitive data, such as address book contents or location information over the Internet. Furthermore, based on PiOS, we were also able to retrofit iOS applications with control flow integrity protection. Android recently surpassed Apple as the most popular smart phone operating system. Thus, in this talk, I will also cover my research to leverage static analysis techniques to detect misuse of cryptographic primitives in Android apps. Furthermore, I will illustrate how these techniques can be used to refine and improve the existing coarse-grained Android permission system.

    Biography: Manuel Egele is a post-doctoral researcher at Carnegie Mellon University, Cylab. Before starting at CMU, he was a post-doctoral researcher at the Computer Security Group of the Department of Computer Science at the University of California, Santa Barbara. He received his MSc (2006) and Ph.D. (2011) degrees in computer science from the University of Technology in Vienna. His research interests span numerous areas of systems security -- in particular, mobile security, privacy, and malicious code analysis. His PiOS work received a distinguished paper award at the Network and Distributed Systems Security Symposium 2011. Lately, he started investigating techniques to aid developers in avoiding common pitfalls when applying cryptographic primitives in their mobile applications.

    Host: Ramesh Govindan

    Location: Seaver Science Library (SSL) - 150

    Audiences: Everyone Is Invited

    Contact: Assistant to CS chair

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