Select a calendar:
Filter February Events by Event Type:
Events for February 23, 2016
-
Six Sigma Black Belt
Tue, Feb 23, 2016
Executive Education
Conferences, Lectures, & Seminars
Abstract: Course Dates (15 Day Program)
Week 1: February 22-26, 2016
Week 2: April 11-15, 2016
Week 3: May 2-6, 2016
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 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: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-black-belt
Audiences: Registered Attendees
Contact: Viterbi Professional Programs
Event Link: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-black-belt
-
CS Colloquium: Vincent Liu (U. Washington) - Improving the Cost and Reliability of Data Center Networks
Tue, Feb 23, 2016 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Vincent Liu , U. Washington
Talk Title: Improving the Cost and Reliability of Data Center Networks
Series: CS Colloquium
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium
In recent years, data center networks have grown to an unprecedented scale. The largest of these are expected to connect hundreds of thousands of servers and are expected to do so with high reliability and low cost. The current solution to these problems is to use an idea first proposed for telephone networks in the early 1950's: Clos network topologies. These topologies have a number of substantial benefits, but their use in this new domain raises a set of questions.
In this talk, I will present two systems that make small changes to state-of-the-art data center designs to provide large improvements to performance, reliability, and cost. I will first describe F10, a data center architecture that can provide both near-instantaneous reaction to failures and near-optimal handling of long-term load balancing. Central to this architecture is a novel network topology that provides all of the benefits of a traditional Clos topology, but also admits local reaction to and recovery from failures. I will also describe Subways, a network architecture that looks at how to use multiple network interfaces on each server to handle growth and performance issues in today's data centers.
Biography: Vincent Liu is a PhD candidate in Computer Science and Engineering at the University of Washington. Before that, he completed his undergraduate degree in Computer Science at the University of Texas at Austin. His research is in the general area of networked systems across all layers of the networking stack, from hardware concerns to application and workload modeling. He has published in a variety of fields including data center networks, fault-tolerant distributed systems, energy-efficient wireless communication, and systems to preserve security and privacy. His work has won Best Paper Awards at NSDI 2013, ACM SIGCOMM 2013, and NSDI 2015. He was also awarded a Google PhD fellowship and Qualcomm Innovation Fellowship.
Host: CS Department
Location: Olin Hall of Engineering (OHE) - 136
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
-
CS Colloquium: Giuseppe Loianno (U. of Pennsylvania) - Flying Robots: Fast Autonomous Navigation and Physical Interaction
Tue, Feb 23, 2016 @ 04:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Giuseppe Loianno, U. of Pennsylvania
Talk Title: Flying Robots: Fast Autonomous Navigation and Physical Interaction
Series: CS Colloquium
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium
Flying Robots are starting to play a major role in several tasks such as search and rescue, interaction with the environment, inspection and monitoring.
Unfortunately, their dynamics make them extremely difficult to control and this is particularly true in absence of external positioning systems, such as GPS and motion-capture systems. Additionally, autonomous maneuvers based on onboard sensors are still very slow compared to those attainable with motion capture systems.
It is essential to provide fast autonomous capabilities to Micro Aerial Vehicles (MAVs) to fly in a reliable way in unstructured environments.
This is achieved giving the vehicle, the ability to identify its state, using either absolute and relative asynchronous measurements provided by different sensors. Those have to be fused, exploiting different rates and statistical sensors' properties.
Algorithms that rely on the combination of a camera and IMU, two lightweight and inexpensive sensors, represent a valid solution for autonomous navigation and environment interaction, especially in case of small scale vehicles.
In this talk, I will give an overview of my research activities toward fast autonomous navigation of MAVs, collaboration between multiple aerial vehicles and environment interaction using a camera and IMU as the main sensor modalities, showing how these problems can be even solved by the use of classic consumer electronic devices.
This lecture will be available to stream HERE. Please open in new tab for best results.
Biography: Giuseppe Loianno received B.Sc and M.Sc in Automation Engineering both with honours at University of Naples Federico II in December 2007 and February 2010, respectively. He has been, during the academic year 2008, an exchange student at KTH (Royal Insitute of Technology) in Stockholm.
He developed his master thesis at ETH Zurich at the ASL laboratory focusing on Micro Aerial Vehicles under the supervision of Prof. Dr. Davide Scaramuzza. He received his Ph.D in computer and automatic engineering focusing in Robotics in May 2014 in the PRISMA Lab group, led by Prof. Dr. Bruno Siciliano. From April 2013 he worked as vising Ph.D student for 14 months with the Grasp Lab at University of Pennsylvania, supervised by Prof. Dr. Vijay Kumar and working for 12 months a postdoctoral researcher. He is currently a research scientist. His research interests include visual navigation, sensor fusion and visual servoing for micro aerial vehicles.
Host: CS Department
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
-
The Business of Oil and Gas
Tue, Feb 23, 2016 @ 05:00 PM - 06:00 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Speaker: Dr. Jonathan Lilien, Health Environment Safety Technical Services Manager Chevron North America Exploration and Production Company
Talk Title: Environmental and Societal Aspects of Oil & Gas Production in California
Series: USC Energy Institute Seminar Series
Host: USC Energy Institute
More Information: USCEI 2016 Seminar Series 022316.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Juli Legat
-
Clark Construction Information Session
Tue, Feb 23, 2016 @ 06:00 PM - 07:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Clark Construction Group Information Session
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections