Logo: University of Southern California

Events Calendar



Select a calendar:



Filter April Events by Event Type:



Events for April 30, 2010

  • Meet USC: Admission Presentation, Campus Tour, & Engineering Talk

    Fri, Apr 30, 2010

    Viterbi School of Engineering Undergraduate Admission

    University Calendar


    This half day program is designed for prospective freshmen and family members. Meet USC includes an information session on the University and the Admission process; a student led walking tour of campus and a meeting with us in the Viterbi School. Meet USC is designed to answer all of your questions about USC, the application process and financial aid.Reservations are required for Meet USC. This program occurs twice, once at 9:00 a.m. and again at 12:00 p.m. Please visit http://www.usc.edu/admission/undergraduate/visit/meet_usc.html to check availability and make an appointment. Be sure to list an Engineering major as your "intended major" on the webform!

    Location: USC Admission Center

    Audiences: Prospective Freshmen and Family Members - RESERVATIONS REQUIRED

    Contact: Admission Intern

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File
  • Tech Video Job Fair

    Fri, Apr 30, 2010 @ 08:00 AM - 05:00 PM

    Viterbi School of Engineering Alumni

    Receptions & Special Events


    Chat with top Silicon Valley Companies using your webcam!Yahoo, Flixter, and Tagged are just some of the companies hiring and are conduction interviews online. Interviews conducted April 26-30th. For more information and to register visit http://www.jobnob.com/job-fair/SiliconValleyVideoFair?utm_source=USC&utm_medium=email&utm_campaign=USC

    Audiences: Everyone Is Invited

    Contact: Kathleen Concialdi

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File
  • Optimizing Sensing from Water to the Web

    Fri, Apr 30, 2010 @ 10:30 AM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Talk to take place at USC-ISI in Marina del Rey
    4676 Admiralty Way
    Marina del Rey, CA 90292Title: "Optimizing Sensing from Water to the Web"Speaker: Andreas Krause, California Institute of TechnologyLocation: 11th floor Large Conference Room @ USC/ISIAbstract: Where should we place sensors to quickly detect contamination in drinking water distribution networks? Which blogs should we read to learn about the biggest stories on the web? These problems share a fundamental challenge: How can we obtain the most useful information about the state of the world, at minimum cost?Such sensing problems are typically NP-hard, and were commonly addressed using heuristics without theoretical guarantees about the solution quality. In this talk, I will present algorithms which efficiently find provably near-optimal solutions to large, complex sensing problems. Our algorithms exploit submodularity, an intuitive notion of diminishing returns, common to many sensing problems; the more sensors we have already deployed, the less we learn by placing another sensor. To quantify the uncertainty in our predictions, we use probabilistic models, such as Gaussian Processes. In addition to identifying the most informative sensing locations, our algorithms can handle more challenging settings, where sensors need to be able to reliably communicate over lossy links, where mobile robots are used for collecting data or where solutions need to be robust against adversaries, sensor failures and dynamic environments.I will also present results applying our algorithms to several real-world sensing tasks, including environmental monitoring using robotic sensors, activity recognition using a built sensing chair, deciding which blogs to read on the web, and a sensor placement competition.Bio: Andreas Krause is an assistant professor of Computer Science at the California Institute of Technology. He received his Ph.D. from Carnegie Mellon University in 2008. Krause is a recipient of an NSF CAREER award and the Okawa Foundation Research Grant recognizing top young researchers in telecommunications. His research on sensor placement and optimized information gathering received awards at several premier conferences, as well as the best research paper award of the ASCE Journal of Water Resources Planning and Management.

    Location: 11th floor Large Conference Room @ USC/ISI

    Audiences: Everyone Is Invited

    Contact: CS Front Desk

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File
  • KIUEL Senior Design Expo

    Fri, Apr 30, 2010 @ 01:00 PM - 03:00 PM

    Viterbi School of Engineering Student Affairs

    Student Activity


    Join students, faculty, staff, and industry partners in recognizing the capstone projects of Viterbi students. Attendees can vote for their favorite project. See what opportunities are available to you senior year or show off your work if you're graduating! To learn more about KIUEL, visit viterbi.usc.edu/kiuel

    Location: E-Quad

    Audiences: Undergraduates

    Contact: KIUEL

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File
  • Integrated Systems Seminar Series

    Fri, Apr 30, 2010 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical and Computer Engineering

    Conferences, Lectures, & Seminars


    Speaker: Prof. Luke Theogarajan, UCSBTopic: CMOS for Biomedical Application

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Contact: Hossein Hashemi

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File
  • The Gap Bootstrap

    Fri, Apr 30, 2010 @ 03:00 PM - 04:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speakers: Dr. Clifford H. Spiegelman (TAMU), Soumendra Lahiri (TAMU), Justice Appiah (UNL), and Laurence Rilett (UNL)Abstract:In many areas of application, multivariate data are collected routinely over long time periods. Examples include hydrocarbon pollution monitoring, and automated highway volume traffic monitoring. The dominant part or the dependence for these types of data is short term. The gap bootstrap uses a divide, estimate, assess and combine strategy to provide asymptotically optimal or near optimal estimators. In spirit, it is similar in approach to kernel regression estimation, except that the joined pieces are not contiguous in time. We will show that for smooth enough estimators, and some useful dependence models that the resulting estimators are asymptotically efficient and have uncertainties that are accurately assessed using a case bootstrapping approach. Examples will use Origin-Destination (OD) modeling in transportation.

    Location: Kaprielian Hall (KAP) - 209

    Audiences: Everyone Is Invited

    Contact: Evangeline Reyes

    Add to Google CalendarDownload ICS File for OutlookDownload iCal File