archive-edu.com » EDU » W » WISC.EDU

Total: 472

Choose link from "Titles, links and description words view":

Or switch to "Titles and links view".
  • distributed computing | UW-Madison Computer Sciences Department
    Summer RA awards Research Connect Industrial Affiliates Student Job Listings CS Job Fair Programming Contests Fiftieth Anniversary Celebration Give distributed computing National Computing Collaboration WID and UW expand advanced computing in research Submitted by Jennifer Smith on Wed 04 09 2014 1 09pm UW Madison s Advanced Computing Infrastructure ACI team helps unlock discoveries in a range of fields Tags computing distributed computing Miron Livny Read more about National Computing

    Original URL path: http://www.cs.wisc.edu/taxonomy/term/262 (2015-02-22)
    Open archived version from archive


  • Allison Sauppe | UW-Madison Computer Sciences Department
    RA awards Research Connect Industrial Affiliates Student Job Listings CS Job Fair Programming Contests Fiftieth Anniversary Celebration Give Allison Sauppe HCI Lab invites public to Robotics Open House Submitted by Jennifer Smith on Mon 04 07 2014 10 49am The Human Computer Interaction Lab invites the public to have fun and learn at the Robotics Open House on April 11 2014 Tags robotics robots HCI Bilge Mutlu Allison Sauppe outreach

    Original URL path: http://www.cs.wisc.edu/taxonomy/term/256 (2015-02-22)
    Open archived version from archive

  • HCI Lab | UW-Madison Computer Sciences Department
    Opportunities Summer RA awards Research Connect Industrial Affiliates Student Job Listings CS Job Fair Programming Contests Fiftieth Anniversary Celebration Give HCI Lab HCI Lab bridges uncanny valley between humans and robots Submitted by Jennifer Smith on Wed 04 23 2014 1 48pm The recent Robotics Open House gave kids and adults a fun taste of robotics Tags robots robotics HCI Lab human computer interaction Bilge Mutlu Read more about HCI

    Original URL path: http://www.cs.wisc.edu/taxonomy/term/265 (2015-02-22)
    Open archived version from archive

  • UW-Madison Computer Sciences Department
    High Throughput Computing aids crop research Pliny research project is like autocomplete for programmers Prof Aditya Akella makes networks future proof New research improves cooperation between humans and robots in the workplace Graduate Undergraduate Alumni Friends Current Information Advising Current courses For incoming students Programs Capstone Certificate Professional Master s Traditional MS PhD Jobs Fellowships Graduate fellowships Job listings Summer RA awards Undergraduate Programs About our programs Current courses Major FAQs Advising About advising Current advisors Resources Job listings SACM WACM Current Information Feature stories News Connect Facebook LinkedIn Twitter Get Involved Give to CS Industrial affiliates Events Unlocking Interaction via Pixel Based Reverse Engineering Monday February 23 2015 4 00pm Morgan Dixon University of Washington Structuring Peer Interactions for Learning at Scale Tuesday February 24 2015 4 00pm Chinmay Kulkarni Stanford University Species Tree Estimation from Genome Scale Data Tuesday February 24 2015 4 00pm Siavash Mirarab University of Texas at Austin More Events Calendar News Alumnus wins Maurice Wilkes Award Ravi Rajwar PhD 2002 has won the 2014 Maurice Wilkes Award which recognizes excellent contributions to the field of computer architecture Prof Zhu wins AAAI 2015 Blue Sky Ideas Prize Prof Zhu was honored in Jan 2015 by

    Original URL path: https://www.cs.wisc.edu/ (2015-02-22)
    Open archived version from archive

  • About Wisconsin Computer Sciences | UW-Madison Computer Sciences Department
    of growth within STEM fields science technology engineering and math will be for careers involving computing Whether you plan to earn a degree in computer science or simply complete some coursework to sharpen your skillset in another field of study exposure to computer science is critical for today s students and working professionals Here at the University of Wisconsin Madison the Department of Computer Sciences CS offers a dynamic environment for study research and professional growth In 2014 the department celebrated its 50th anniversary It is one of the oldest and most respected computer science departments in the United States having begun in the early 1960s as the Department of Numerical Analysis and becoming the Department of Computer Sciences in 1964 Today Wisconsin CS is recognized as having the world s leading research groups in computer architecture database systems distributed and grid computing and nonlinear optimization What s more it provides an unbeatable learning environment for students at all levels in all areas of computer science Both undergraduate and graduate students have an opportunity to conduct research alongside faculty Those bitten by the entrepreneurial bug can take advantage of an innovative class specifically aimed at students who want to launch software startup companies Campus competitions like CS NEST also give students a chance to hone and pitch start up ideas and programming competitions give students a chance to test their skills Student organizations like SACM WACM and The Hub enrich student life and offer a supportive and fun community Wisconsin CS provides students with all that a top notch computer science department has to offer located within the vast array of resources and opportunities at one of the world s top universities not to mention the vibrant scenic community of Madison itself From its traditional bachelor s master s and

    Original URL path: https://www.cs.wisc.edu/about (2015-02-22)
    Open archived version from archive

  • Location | UW-Madison Computer Sciences Department
    RA awards Research Connect Industrial Affiliates Student Job Listings CS Job Fair Programming Contests Fiftieth Anniversary Celebration Give You are here About Location The Computer Sciences Statistics Building is located at 1210 West Dayton Street Madison Wisconsin 53706 1613 USA Main phone number for general questions 608 262 1204 Main office Room 5351 on the fifth floor UW Madison campus map Learn more about Madison and the benefits of living

    Original URL path: https://www.cs.wisc.edu/about/location (2015-02-22)
    Open archived version from archive

  • Contacts | UW-Madison Computer Sciences Department
    of frequently contacted people Find more complete listings of faculty staff and students by browsing our People section Phone numbers are preceded by area code 608 and email addresses are followed by cs wisc edu unless noted otherwise FUNCTION NAME OFFICE PHONE EMAIL Chair Mark D Hill 5355A 262 8737 markhill Associate Chair Michael Swift 7369 890 0131 swift Director of Graduate Studies Graduate Advising Committee GAC Chair Dieter van Melkebeek 4390 262 4196 dieter Graduate Admissions Co Chair Aditya Akella 7379 890 0122 akella Graduate Admissions Co Chair Stephen Wright 4379 262 4838 swright Graduate Program Coordinator Angela Thorp 5360 262 7967 thorp Professional Programs Coordinator Jonathan Henkel 5378 262 5601 jhenkel Undergraduate Advising Committee UGAC Chair Jude Shavlik 6393 262 7784 shavlik Reception Undergraduate Program Coordinator Trish Rentner 5351 262 1204 rentner Instructional Program Manager Perry Kivolowitz 5387 890 0125 perryk Undergraduate Honors Program Deborah Joseph 4382 262 8022 joseph Department Manager Sue Gallagher 5357 263 6759 gallagsd Building Manager Roger Vogts 1305 262 0286 roger vogts wisc edu Payroll Benefits Susan Schiltz Susan Halverson 5368 262 0822 halversg suemschiltz Reimbursements Purchasing Tae Kidd 5355 262 6616 tkidd Travel Reimbursement Aisha Jansen 5355 890 2886 aisha Grants Contracts

    Original URL path: https://www.cs.wisc.edu/about/contacts (2015-02-22)
    Open archived version from archive

  • Upcoming Events | UW-Madison Computer Sciences Department
    gene expression In this talk I will present two of my recent projects looking into the interplay between genome architecture and gene expression in mammalian cells Programming using Automata and Transducers Thursday March 5 2015 4 00pm to 5 00pm Loris D Antoni University of Pennsylvania The goal of my research is to develop programming abstractions and automated analyses to assist programmers In this talk we focus on how techniques rooted in automata and transducers can be used to detect security vulnerabilities in programs such as HTML sanitizers and string encoders Building Mobile Technologies for Underserved Communities Monday March 9 2015 4 00pm to 5 00pm Nicola Dell University of Washington The goal of my research is to design build and evaluate novel computing systems that improve the lives of underserved populations in low income regions To date many of the world s biggest technological advances have primarily benefited people living in developed regions like North America and Europe that contain a small fraction of the world s population Hardware and Software for Approximate Computing Tuesday March 10 2015 4 00pm to 5 00pm Adrian Sampson University of Washington Correctness is a fundamental tenet in computer systems In many cases however perfect answers are unnecessary or even impossible small errors can be acceptable in applications such as vision machine learning speech recognition search graphics and physical simulation Approximate computing is a new research direction that improves efficiency by carefully relaxing correctness constraints My research seeks to get the most out of approximate computing using collaboration between software and hardware The Sparse Fourier Transform Theory and Applications Thursday March 12 2015 4 00pm to 5 00pm Haitham Hassanieh Massachusetts Institute of Technology The Fourier transform is one of the most widely used computational tools It is used in signal processing communications audio and video compression medical imaging genomics astronomy etc The fastest algorithm for computing the Fourier transform is FFT which has O n log n time complexity The near linear time of the FFT made it an indispensable tool in many applications However with the emergence of big data problems in which processed data sets can exceed terabytes FFT s runtime is no longer sufficient and faster algorithms that do not sample every data point are required Scalable Inference and Learning for High Level Probabilistic Models Monday March 16 2015 4 00pm Guy Van den Broeck KU Leuven Belgium Probabilistic graphical models are pervasive in AI and machine learning A recent push however is towards more high level representations of uncertainty such as probabilistic programs probabilistic databases and statistical relational models This move is akin to going from hardware circuits to a full fledged programming language and poses key challenges for inference and learning For instance we encounter a fundamental limitation of classical learning algorithms they make strong independence assumptions about the entities in the data e g images web pages patients etc Mending the Application Network Gap in Big Data Analytics Tuesday March 17 2015 4 00pm to 5

    Original URL path: https://www.cs.wisc.edu/events (2015-02-22)
    Open archived version from archive