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Events for July 19, 2013
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Six Sigma Black BeltFri, Jul 19, 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: $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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AI Seminar- Martha Palmer: "Annotating Resources for the Clinical Domain"
Fri, Jul 19, 2013 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Martha Palmer, University of Colorado, Boulder
Talk Title: "Annotating Resources for the Clinical Domain"
Series: Artificial Intelligence Seminar
Abstract: In the general domain, large-scale linguistic annotation of syntactic structure and semantic labels fostered truly revolutionary advances in natural language processing systems. The availability of a similar large annotated resource for clinical language would enable equivalent progress in this domain by advancing methods development through rule-based and statistical approaches, involving a larger research community in the study of difficult NLP problems, and porting best-of-breed methodologies to healthcare.
Under the Strategic Health Advanced Research Project Area 4 (SHARP 4; www.sharpn.org) and the THYME NIH grant (1 R01 LM010090-01A1, Temporal Relation Discovery for Clinical Text, PI: Savova) 500,000 tokens of clinical narrative spread across specialties, patients, notes types and three sites (Mayo Clinic, Seattle Group Health Cooperative and Intermountain Health Care) are being annotated. Linguistic annotations comprise constituency parses, dependency parses, semantic role labels, coreference and temporal relations and are being done at the University of Colorado. In addition, domain specific entity and relation annotations are being done following UMLS guidelines jointly between Colorado, Harvard and the Mayo Clinic.
There are many challenges in porting general domain annotation schemes to the clinical domain, due to the fragmentary, informal style of the text and the domain specific terminology. It is also important to create diverse annotation datasets and to explore more efficient methodologies for porting to new domains, such as active learning. This talk will describe the status of the annotation effort, how the challenges are being addressed, the performance improvements observed in the newly trained components, and experiments with active learning for smart data selection.
Biography: Martha Palmer is a Full Professor at the University of Colorado with joint appointments in Linguistics and Computer Science and is an Institute of Cognitive Science Faculty Fellow. She recently won a Boulder Faculty Assembly 2010 Research Award and was the Director of the 2011 Linguistics Institute in Boulder, CO. Her research has been focused on trying to capture elements of the meanings of words that can comprise automatic representations of complex sentences and documents. Supervised machine learning techniques rely on vast amounts of annotated training data so she and her students are engaged in providing data with word sense tags and semantic role labels for English, Chinese, Arabic, Hindi, and Urdu, funded by DARPA, and NSF. They also train automatic sense taggers and semantic role labelers, and extract bilingual lexicons from parallel corpora. A more recent focus is the application of these methods to biomedical journal articles and clinical notes, funded by NIH. She is a co-editor for the Journal of Natural Language Engineering and for LiLT, Linguistic Issues in Language Technology, and on the CLJ Editorial Board. She is a past President of the Association for Computational Linguistics, past Chair of SIGLEX and SIGHAN.
Host: David Chiang
More Info: http://webcasterms1.isi.edu/mediasite/SilverlightPlayer/Default.aspx?peid=ad22eb4390944a439d0e1eeada255aa21d
Webcast: TBALocation: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135
WebCast Link: TBA
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://webcasterms1.isi.edu/mediasite/SilverlightPlayer/Default.aspx?peid=ad22eb4390944a439d0e1eeada255aa21d
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NL Seminar- Jackie Lee: "Bayesian Approaches to Acoustic Model and Pronunciation Lexicon Discovery"
Fri, Jul 19, 2013 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Jackie Lee, MIT
Talk Title: "Bayesian Approaches to Acoustic Model and Pronunciation Lexicon Discovery"
Series: Natural Language Seminar
Abstract: In the first part of the talk, we investigate the problem of acoustic modeling in which prior language-specific knowledge and transcribed data are unavailable. We present an unsupervised model that simultaneously segments the speech, discovers a proper set of sub-word units (e.g., phones) and learns a Hidden Markov Model (HMM) for each induced acoustic unit. Our approach is formulated as a Dirichlet process mixture model in which each mixture is an HMM that represents a sub-word unit. We apply our model to the TIMIT corpus, and the results demonstrate that our model discovers phone units that are highly correlated with English phones as well as produces better segmentation than the state-of-the-art baselines. We test the quality of the learned acoustic models on a spoken term detection task. Compared to the baseline, our model is able to improve the detection precision of top hits by a large margin.
The creation of a pronunciation lexicon remains the most inefficient process in developing an automatic speech recognizer. In the second part of the talk, we discuss an unsupervised alternative to the conventional manual approach for creating pronunciation dictionaries. We present a hierarchical Bayesian model, which jointly discovers the phonetic inventory and the Letter-to-Sound (L2S) mapping rules in a language using only transcribed data. When tested on a corpus of spontaneous queries, our results demonstrate the superiority of the proposed joint learning scheme over its sequential counterpart, in which the latent phonetic inventory and L2S mappings are learned separately. Furthermore, the recognizers built with the automatically induced lexicon consistently outperform grapheme-based recognizers and even approach the performance of recognition systems trained using conventional supervised procedures.
Biography: http://groups.csail.mit.edu/sls/people/clee.shtml
Host: Qing Dou
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/
