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Events for April 04, 2014
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Six Sigma Black BeltFri, Apr 04, 2014 @ 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: $7,245
Includes continental breakfasts, lunch and all course materials. The fee does not include hotel accommodations or transportation.
Online Participant with Live Session Interactivity: $7,245
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@gapp.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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Manifold Constrained Acoustic Modeling for Automatic Speech Recognition
Fri, Apr 04, 2014 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Richard Rose, McGill University
Talk Title: Manifold Constrained Acoustic Modeling for Automatic Speech Recognition
Abstract: This presentation investigates the application of manifold learning approaches to automatic speech recognition (ASR). All of the approaches considered rely on very high dimensional feature representations for speech while at the same time assuming that speech features are constrained to lie on a low dimensional embedded manifold. Discriminative manifold based linear projections are investigated as dimensionality reducing feature space transformations. These techniques attempt to preserve local within-class relationships along a nonlinear manifold while maximizing separability between classes. The ASR word error rates obtained from these techniques are compared to those obtained using more well known discriminative dimensionality reducing linear transformations on multiple speech in noise tasks. The high computational complexity associated with computing the Laplacian matrices for these techniques is reduced by an order of magnitude through the use of locality sensitive hashing (LSH) algorithms. As time permits, a discussion of additional applications of manifold based constraints to speech processing will be presented. These include manifold based constraints for regularizing training for speaker adaptation transformations, regularized least squares classifiers for spoken term detection, and manifold regularization for training deep neural networks.
Biography: Richard Rose is an Associate Professor and Graduate Program Director of Electrical and Computer Engineering at McGill University in Montreal, Quebec, Canada. His major area of research is in speech and language processing. His recent research contributions have been in acoustic modeling for speech recognition, computer aided human language translation, and computer aided speech therapy. Over his career, he has published over 130 articles in refereed international journals and conference proceedings. He has served as Adjunct Research Scientist at the Human Language Technology Center of Excellence in Baltimore and as Adjunct Professor of ECE at Johns Hopkins University. Prof. Rose is an IEEE Fellow. Before coming to McGill in 2004, Prof. Rose was a senior member of technical staff at AT&T Labs Research where he contributed to AT&T's speech enabled services and was inventor or co-inventor on twelve patents. His professional service has included General Chair of the IEEE Automatic Speech Recognition and Understanding Workshop, membership in the IEEE Speech Technical Committee, elected membership on the IEEE Signal Processing Society Board of Governors, associate editor of the IEEE Transactions on Speech and Audio Processing, associate editor of the IEEE Transactions on Audio, Speech, and Language Processing, and founding editor of the IEEE Speech Technical Committee Newsletter. Prof. Rose is a member of Tau Beta Pi, Eta Kappa Nu,
and Phi Kappa Phi.
Host: Prof. Shrikanth Narayanan & Alexandros Potamianos
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia Veal
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AI SEMINAR
Fri, Apr 04, 2014 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Laila Sakr , University of Southern Californiaââ¬â¢s School of Cinematic Arts
Talk Title: /sentiment analysis_fail
Series: AISeminar
Abstract: Abstract:This presentation traces the evolution of a digital archive to a machine learning, knowledge management system. R-Shief.org houses four data collections, current search engine (Kal3a), Arab Smart Engine, interactive visualizers, and index. In this talk, I will discuss the challenges to normalize uneven data inputs into one system or database. This requires building a network where each data point has its position and function in relation to all the other data points. When the size, speed, and variety of the data reaches a threshold, new, creative methods are developed to keep all the pieces working together. It is in the relationality of the data to each other where machine learning can take place and programs can be built to be ââ¬Åsmart.ââ¬Â By 2014, I would say that the methodological shift to using big data in textual analysis in the humanities has meant a shift from big data to smart data--or big, smart data. will provide a vision of a body of work at the intersection of technology, media arts, and politics. The data visualizations, social media analytics, interactive media, VJ performances, and computational art showcased are poised between multiple worlds (art/science, culture/technology, east/west, macro/micro, history/real-time, theory/practice, scholarship/activism).
Biography: Bio: Laila Shereen Sakr is VJ Um Amel online. She is a PhD candidate in Media Arts + Practice at the University of Southern Californiaââ¬â¢s School of Cinematic Arts and founder of the digital lab, R-Shief, Inc. With a background in poetry and graphic design, her current practices include digital media arts, visualization, and performance. Her work archives and maps the recent Arab uprisings and Occupy movements through semantic analysis of social media feeds in Arabic, Persian, French, English, Spanish, German. As a VJ, she uses data visualization and live cinema performance to demonstrate how embodied habits of communication are expressed virtually, and to understand how communities use technology to design their own narratives and worlds. She has exhibited at the San Francisco MoMA, National Gallery of Art in Jordan, Camera Austria, Cultura Digital in Brazil, DC Fridge Art Gallery, among other venues. Her work has also been published in Middle East Critique, Parsonââ¬â¢s Journal for Information Mapping, ThoughtMesh, Jadaliyya, and in an edited volume on Mediating the Arab Uprisings. She holds an M.F.A. in Digital Arts and New Media from University of California, Santa Cruz and an M.A. in Arab Studies from Georgetown University. Recent reviews appear in The Wall Street Journal, Science, Art Territories, Fast Company, Digital Media and Learning, Egypt Independent, and The Creators Project. http://vjumamel.com
Caption for image: Tweet World: A 3D Game in Unity transforms a 2D data visualization of 500,000 tweets on #Syria into a 3D immersive environment
Host: Greg Ver Steeg
Webcast: http://webcasterms1.isi.edu/mediasite/SilverlightPlayer/Default.aspx?peid=be33305d8976432d85f08102899de2ca1dLocation: Information Science Institute (ISI) - 1135
WebCast Link: http://webcasterms1.isi.edu/mediasite/SilverlightPlayer/Default.aspx?peid=be33305d8976432d85f08102899de2ca1d
Audiences: Everyone Is Invited
Contact: Alma Nava / Information Sciences Institute
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The W.V.T. Rusch Engineering Honors Colloquim
Fri, Apr 04, 2014 @ 01:00 PM - 01:50 PM
USC Viterbi School of Engineering, Viterbi School of Engineering Student Affairs
Conferences, Lectures, & Seminars
Speaker: Jonathan Grinblat, Systems Engineer, Jet Propulsion Laboratory
Talk Title: Designing the Curiosity Rover: Challenges, Lessons, and Science
Host: W.V.T. Rusch Engineering Honors Program
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Everyone Is Invited
Contact: Christine Viterbi Admission & Student Affairs
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Integrated Systems Seminar Series - Spring 2014
Fri, Apr 04, 2014 @ 03:30 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Mircea Stan, University of Virginia
Talk Title: Breaking 3D Power Delivery Walls Using Voltage Stacking
Series: Integrated Systems Seminar Series
Abstract: The power delivery walls include: power density (power consumption density increases beyond the heat dissipation capabilities of the technology), power and ground power delivery pins (chip power consumption requires increasing numbers of pins), 3DIC power density (physical stacking in the third dimension exacerbates the two dimensional explosion), on chip power regulation efficiency (relatively poor efficiencies achievable with on chip regulators limit the effectiveness of many low power schemes). In this talk we demonstrate how voltage stacking is a comprehensive method for addressing the power delivery walls above, with special emphasis on 3DIC.
Biography: Mircea R. Stan received the Ph.D. and M.S. degrees in Electrical and Computer Engineering from the University of Massachusetts at Amherst and the Diploma in Electronics and Communications from "Politechnica" University in Bucharest, Romania. Since 1996 he has been with the Department of Electrical and Computer Engineering at the University of Virginia, where he is now a professor. Prof. Stan is teaching and doing research in the areas of high performance, low power VLSI, temperature aware
circuits and architecture, embedded systems, and nanoelectronics. He has more than 8 years of industrial experience and 16 years of academic experience, has been a visiting faculty at UC Berkeley in 2004-2005, at IBM in 2000, and at Intel in 2002 and 1999. He has received the NSF CAREER award in 1997 and was a coauthor on best paper awards at ISQED 2008, GLSVLSI 2006, ISCA 2003 and SHAMAN
2002. He was the chair of the VLSI Systems and Applications Technical Committee (VSATC) of IEEE CAS in 2005-2007, general chair for ISLPED 2006 and GLSVLSI 2004, TPC chair for NanoNets 2007 and ISLPED 2005 and a Distinguished Lecturer for IEEE SSCS in 2007-2008, and for IEEE CAS in 2004-2005.
Host: Hossien Hashemi, Mike Chen, Mahta Moghaddam, Sushil Subramanian
More Info: http://mhi.usc.edu/activities/integrated-systems/
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Sushil Subramanian
Event Link: http://mhi.usc.edu/activities/integrated-systems/
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Astani CEE Ph.D. Seminar
Fri, Apr 04, 2014 @ 04:00 PM - 05:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Preetham Aghalaya Manjunatha & Miguel Hernandez Garcia, Astani CEE Ph.D. Students
Talk Title: Analytical and Experimental Studies into Robots Assisted Condition Assessment/ Development of Data-based Probabilistic Model of Nonlinear Joints
Abstract:
Location: John Stauffer Science Lecture Hall (SLH) - 102
Audiences: Everyone Is Invited
Contact: Evangeline Reyes
