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Events for August 22, 2014
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Six Sigma Black BeltFri, Aug 22, 2014
DEN@Viterbi, Executive Education
Conferences, Lectures, & Seminars
Speaker: TBD,
Abstract: Event Dates:
Week 1: July 7 - 11, 2014 from 9:00am - 5:00pm
Week 2: August 11 - 15, 2014 from 9:00am - 5:00pm
Week 3: September 8 - 12, 2014 from 9:00am - 5:00pm
This course teaches you the advanced problem-solving skills you will 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 youââ¬â¢ve learned. This course is presented 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 USC and 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.
More Info
Host: Professional Programs
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
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Towards Computer-Aided Design of Electrical Energy Systems: Challenges and Solutions
Fri, Aug 22, 2014 @ 10:30 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Massimo Poncino, Politecnico di Torino
Talk Title: Towards Computer-Aided Design of Electrical Energy Systems: Challenges and Solutions
Abstract: Electrical energy systems (EESs) include energy generation, distribution, storage, and consumption, and involve many diverse components and sub-systems to implement these tasks. In this talk we discuss fundamental concepts towards a first attempt in applying EDA design methodologies that are widely used for electronics systems design to the case of the design of EESs. CAD for EESs encompasses modeling, simulation, design and optimization and is a challenging task that mandates a multidisciplinary and heterogeneous approach. We identify similarities and differences between electrical energy systems and electronics systems in order to inherit as much as possible the profound legacy resources of EDA. The talk analyzes in deeper details the issue of representation, modeling, and simulation of EESs, tasks that naturally precede synthesis and optimization in a typical design flow. We will first introduce a modeling and simulation environment based on standard and open tools and formalisms, namely SystemC/AMS and IP-XACT; we formally define the model interfaces for EES components by extending the IP-XACT standard; this allows (1) to define abstract âmeta-modelsâ for these components with which a model must comply, and (2) using the power configuration information contained in the IP-XACT descriptions, to seamlessly plug such components into the SystemC simulation framework. Our approach allows therefore designers of EESs to implement multi-level simulations, where different components can be simulated at different levels of details, while using a single, open simulation platform. We compare the proposed methodology against traditional model-based approaches the use Matlab/Simulink and show how our approach can be more efficient, more flexible, and more extensible. The talk also describes an automated modeling methodology that allows to semi-automatically derive models for batteries directly and solely from the information available in datasheets; the tools leverages the actually available data and generates a model whose level of accuracy matches the amount of information in the datasheet. This approach can also be used in the opposite way, that is, as a way to define standardized levels of accuracy for the models by identifying which information are required to achieve a given degree of accuracy.
Biography: Massimo Poncino is Full Professor of Computing Systems at Politecnico di Torino. Prior to that, he was an Associate Professor (from 2004 to 2006) at Politecnico di Torino, Associate Professor (from 2001 to 2004) at Università di Verona, and Assistant Professor (from 1995 to 2001) at Politecnico di Torino. From 1993 to 1994 he was a Visiting Scientist at the Dept of Electrical and Computer Engineering of the Univ. of Colorado, Boulder, USA. He holds a Dr. Eng. degree in EE (1989) and a PhD degree in Computer Eng., both from Politecnico di Torino (1993). His research interests include the design automation of digital systems, with emphasis on low-power embedded systems, modeling and the simulation of systems-on-chip, and automatic synthesis of digital systems. He has coauthored more than 300 publications in the above areas. He served as member of Technical Program Committee of more than 50 IEEE and ACM conferences, was the Technical Program Chair of the 2011 IEEE/ACM Symposium on Low-Power Electronics and Design and General co-Chair for the same conference in 2012. He has served in the Editorial Board of the IEEE Transactions on CAD from 2006 to 2011, and is currently serving in the Editorial Board of IEEE Design & Test and ACM Transactions on Design Automation of Electronic Systems (TODAES). Prof. Poncino is a Senior Member of IEEE, member of the ACM SIGDA Low-Power Technical Committee, and a Member the Circuit and Systems Society.
Host: Massoud Pedram
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Annie Yu
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M.S. Computer Science Student Advising Session
Fri, Aug 22, 2014 @ 02:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
New and continuing M.S. computer science students can obtain walk in advisement by attending this advisement session. Flor and Ryan will be available to assist you and answer any questions you may have.
Location: John Stauffer Science Lecture Hall (SLH) - 100
Audiences: Graduate
Contact: Ryan Rozan
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AI Seminar- A New Path Towards Machine Intelligence
Fri, Aug 22, 2014 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Chris Adami , (Michigan State University)- Professor of Microbiology and Molecular Genetics & Professor of Physics & Astronomy
Talk Title: âA New Path Towards Machine Intelligence
Series: Artificial Intelligence Seminar
Abstract: For over fifty years, engineers have attempted to achieve machine intelligence that rivals human performance, but with only limited success in some specialized arenas such as chess. I will discuss what I believe is the central reason behind this failure, and how using the biological process of evolution can overcome that problem. I then discuss several applications of our "evolutionary intelligence" approach to understand brains and behavior.
Biography: Dr. Adami is Professor for Microbiology and Molecular Genetics & Physics and Astronomy at Michigan State University in East Lansing, Michigan. As a computational biologist, Dr. Adamiâs main focus is Darwinian evolution, which he studies theoretically, experimentally, and computationally, at different levels of organization (from simple molecules to brains). He has pioneered the application of methods from information theory to the study of evolution, and designed the âAvidaâ system that launched the use of digital life (mutating and adapting computer viruses living in a controlled computer environment) as a tool for investigating basic questions in evolutionary biology. He was also a Principal Scientist at the Jet Propulsion Laboratory where he conducted research into the foundations of quantum mechanics and quantum information theory. Dr. Adami earned a BS in physics and mathematics and a Diplom in theoretical physics from the University of Bonn (Germany) and MA and PhD degrees in physics from the State University of New York at Stony Brook. He wrote the textbook âIntroduction to Artificial Lifeâ (Springer, 1998) and is the recipient of NASAâs Exceptional Achievement Medal. He was elected a Fellow of the American Association for the Advancement of Science (AAAS) in 2011.
Host: Greg Ver Steeg
Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=c95288c6083d483e9767155c41be459a1dLocation: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey
WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=c95288c6083d483e9767155c41be459a1d
Audiences: Everyone Is Invited
Contact: Peter Zamar
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NL Seminar- [Intern talk] Determinental Point Processes for Human-Augmented Machine Translation
Fri, Aug 22, 2014 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Allen Schmaltz, Harvard University
Talk Title: Determinental Point Processes for Human-Augmented Machine Translation
Series: Natural Language Seminar
Abstract: This talk will introduce languageFractal, an online system for human-augmented machine translation (MT) that aims to incorporate monolingual speakers into the translation pipeline in a cost-effective manner. The essential principle is to take a middle ground between pure MT and a fully crowdsourced approach by augmenting MT results with human corrections in an iterative cycle. To efficiently emit phrases and sentences to users and to effectively explore the space of possible translation options, we propose the use of determinantal point processes (DPPs), which can be used to model subset selection problems in which diversity of the subset is a desirable characteristic.
I will provide a brief tutorial on DPPs (including L-ensembles and the structured variant), and I will present an overview of our formulation of DPPs for dynamic programming problems in the context of the human-augmented machine translation pipeline. I will also introduce the languageFractal pilot and pipeline, the full trials of which will run through the 2014-2015 academic year at Harvard University.
Biography: Allen Schmaltz is a Ph.D. student in Computer Science in the School of Engineering and Applied Sciences at Harvard University (2013-present; S.M. 2014), working with Stuart Shieber. He is interested in formal, statistical, and human-augmented machine learning approaches for computational linguistics. Before starting his Ph.D. in Computer Science, he completed the better part of an additional Ph.D. in the (quantitative) social sciences at Harvard University (2010-2013), received a M.A. from Stanford University (2010), and received a B.A. from Northwestern University (2006). Earlier in his academic career he also studied at Cornell University and in Yokohama, Japan, among other places.
Host: Aliya Deri and Kevin Knight
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/
