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Events for June 14, 2013
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Six Sigma Black BeltFri, Jun 14, 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- Adam Lopez
Fri, Jun 14, 2013 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Adam Lopez, Johns Hopkins University
Series: Artificial Intelligence Seminar
Abstract: A decade ago, students arrived at universities having been exposed to the idea of machine translation (MT) primarily through science fiction. Today, services like Google Translate have made it science fact. It is increasingly taught in courses and has its own textbook. But since it's a real application that isn't fully perfected, the best way to learn about it is still to build an MT system. Unfortunately, popular open-source toolkits for MT are mature codebases featuring tens of thousands of source code lines, making it difficult to focus on their core algorithms. Most tutorials present them as black boxes. But we want students to understand these algorithms, and black boxes are incompatible with this goal.
As a centerpiece of our MT course, we challenged students to obtain the best performance on carefully constrained instances of four key MT problems, each corresponding to key problems in AI: alignment (unsupervised learning), decoding (search), evaluation, and reranking (supervised learning). We provided concise, fully-functioning, self-contained baseline components in less than 150 lines of python. Students brought a diverse arsenal of ideas to the problems, some novel. A surprising and exciting outcome was that student solutions or their combinations fared competitively on some tasks, suggesting that even novices could help improve the state-of-the-art on hard AI problems while simultaneously learning a great deal.
Biography: Adam Lopez works on problems at the intersection of algorithms, machine learning, formal language theory, and computational linguistics with applications to problems in natural language processing, particularly machine translation. He is an assistant research professor at Johns Hopkins University. Previously he was a research fellow at the University of Edinburgh after earning a Ph.D. from the University of Maryland. This summer he is a visiting scientist at SDL Research.
Home Page:
http://www.cs.jhu.edu/~alopez/
Host: David Chiang
Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=ea55185170054e13972a0ea5b932eb6c1dLocation: Information Science Institute (ISI) - Marina Del Rey-6th Flr Conf Rm # 689
WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=ea55185170054e13972a0ea5b932eb6c1d
Audiences: Everyone Is Invited
Contact: Peter Zamar
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PhD Defense - Houtan Shirani-Mehr
Fri, Jun 14, 2013 @ 11:00 AM - 01:00 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Candidate: Houtan Shirani-Mehr
Title: Efficient Reachability Query Evaluation in Large Spatiotemporal Contact Networks
Committee:
Cyrus Shahabi (Chairman)
Shrikanth Narayanan
C.-C. Jay Kuo
Time: June 14, 11am-1pm
Location: PHE 333
Abstract:
In many application scenarios, an item, such as a message, a piece of sensitive information, contagious virus or a malicious malware, passes between two objects, such as moving vehicles, individuals or cell phone devices, when the objects are sufficiently close (i.e., when they are, so-called, in contact), and some application specific "constraints" are satisfied. An example of constraint in the transmission of a malware is that it takes some time such that the malware is activated on a cell phone and then it can be transmitted to another one via Bluetooth. As another example for constraint, a message passes between two vehicles with a probability which depends on various conditions such as the distance between the vehicles. In such applications, once an item is initiated, it can penetrate the object population through the evolving network of contacts among objects, termed "contact network''. A reachability query evaluates whether two objects are "reachable'' through the contact network. In this dissertation, we define and study reachability query in large (i.e., disk resident) contact datasets which verifies whether two objects are “reachable” through the contact network represented by such contact datasets. The main characteristics of our problem are the large scale of the contact dataset as well as the dynamism of the network which models the contact dataset. This underlying network evolves over the time period during which the contact dataset is constructed as the objects are moving in the environment and subsequently new contacts appear and old contacts disappear over time.
In this dissertation, due to the complexity of the general problem, we first simplify the problem by focusing on reachability in contact datasets with no-constraints. With such contact datasets, an item passes between two objects when they are close enough. We propose two contact dataset indexes, termed ReachGrid and ReachGraph, for efficient reachability query processing. With ReachGrid, at the query time only a small necessary portion of the contact dataset is constructed and traversed. With ReachGraph, we precompute and leverage reachability at different scales for efficient query processing. We optimize the disk placement of both indexes for efficient query processing.
Afterward, we extend ReachGrid and ReachGraph for contact networks with constraints. To this end, as a case study we focus on a specific type of constraint, i.e., the latency constraint, and adopt ReachGraph and ReachGrid for efficient reachability query processing.
Furthermore, we discuss how to generalize ReachGraph and ReachGrid for contact networks with general constraints based on the insights we obtain from focusing on contact networks with latency.
Location: Charles Lee Powell Hall (PHE) - 333
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
