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Events for April 15, 2013
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Six Sigma Black Belt
Mon, Apr 15, 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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Seminars in Biomedical Engineering
Mon, Apr 15, 2013 @ 12:30 PM - 01:50 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Jay Lieberman, MD (USC), Professor and chair of the Department of Orthopaedic Surgery, Keck School of Medicine of USC, Orthopaedist-in-Chief at the Keck Medical Center of USC
Talk Title: Tissue Engineering for Bone Repair: Progenitor Cell Response to Bone Graft Substitutes
Location: Olin Hall of Engineering (OHE) - 122
Audiences: Everyone Is Invited
Contact: Mischalgrace Diasanta
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PhD Defense - Na Chen
Mon, Apr 15, 2013 @ 01:00 PM - 03:00 PM
Thomas Lord Department of Computer Science
Receptions & Special Events
PhD Candidate: Na Chen
Committee members:
Viktor K. Prasanna (chair)
Dennis McLeod
Raghu Raghavendra
Time: April 15 1pm-3pm
Location: EEB110
Title: Understanding Semantic Relationships between Data Objects
Abstract:
Semantic Web technologies are a standard, non-proprietary set of languages and tools that enable modeling, sharing, and reasoning about information. Words, terms and entities on the Semantic Web are connected through meaningful relationships, and thus enable a graph representation of knowledge with rich semantics (also known as an ontology). Understanding the semantic relationships between data objects has been a critical step towards getting useful semantic information for better integration, search and decision-making. This thesis addresses the problem of semantic relationship understanding from two aspects: first, given an ontology schema, an automatic method is proposed to understand the semantic relationships between image objects using the schema as a useful semantic source; second, given a large ontology with both schema and instances, a learning-to-rank based ranking system is developed to identify the most relevant semantic relationships according to user preferences from the ontology .
The first part of this thesis presents an automatic method for understanding and interpreting the semantics of unannotated web images. We observe that the relations between objects in an image carry important semantics about the image. To capture and describe such semantics, we propose Object Relation Network (ORN), a graph model representing the most probable meaning of the objects and their relations in an image. Guided and constrained by an ontology, ORN transfers the rich semantics in the ontology to image objects and the relations between them, while maintaining semantic consistency (\eg, a soccer player can kick a soccer ball, but cannot ride it). We present an automatic system which takes a raw image as input and creates an ORN based on image visual appearance and the guide ontology. Our system is evaluated on a dataset containing over 26,000 web images. We demonstrate various useful web applications enabled by ORNs, such as automatic image tagging, automatic image description generation, image search by image, and semantic image clustering.
In the second part of this thesis, a learning-to-rank based ranking system is proposed for mining complex relationships on the Semantic Web. Our objective is to provide an effective ranking method for complex relationship mining, which can 1) automatically personalize ranking results according to user preferences, 2) be continuously improved to more precisely capture user preferences, and 3) hide as many technical details from end users as possible. We observe that a userââ¬â¢s opinions on search results carry important information regarding his interests and search intentions. Based on this observation, our system supports each user to give simple feedback about the current search results, and employs a machine-learning based ranking algorithm to learn the userââ¬â¢s preferences from his feedback. A personalized ranking function is then generated and used to sort the results of each subsequent query by the user. The user can keep teaching the system his preferences by giving feedback through several iterations until he is satisfied with the search results. Our system is evaluated on a large RDF knowledge base created from Freebase linked-open-data. The experimental results demonstrate the effectiveness of our method compared with the state-of-the-art.
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 110
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
