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Summer School 2010

MADALGO Summer School on Geometric Data Structures, August 16-19, Aarhus, Denmark

OVERVIEW AND GOAL

Geometric data structures are methods of efficiently storing and querying data in two or more dimensions. Working with geometric data often requires the use of specialized and fundamentally geometric techniques. The goal of the summer school is to provide an in-depth introduction to some of the key techniques in geometric data structures, while highlighting a number of open problems.

LECTURES

The school will be taught by experts in the area of geometric data
structures:

  • Timothy Chan (University of Waterloo)
  • Sariel Har-Paled
  • (University of Illinois at Urbana-Champaign)
  • John Iacono
  • (Polytechnic Institute of New York University)
  • Mihai Patrascu (AT&T)

PARTICIPATION

The summer school will take place on August 16-19, 2010 at Center for Massive Data Algorithmics (MADALGO) in the Department of Computer Science, University of Aarhus, Denmark.

The school is targeted at graduate students, as well as researchers interested in an in-depth introduction to geometric data structures.

The capacity of the summer school is limited. Prospective participants should register using the online registration form available at MADALGO 2010 Registration as soon as possible. Registering graduate students must also have their supervisor send a letter confirming their graduate student status directly to madalgo@madalgo.au.dk; the subject line of the email should be 'student_last_name/SS_2010/confirming'. Registration is on a first-come-first-serve basis and will close on July 1, 2010.

Registration is free; handouts, coffee breaks, lunches and a dinner will be provided by MADALGO and the University of Aarhus.

ORGANIZING COMMITTEE

  • Lars Arge (MADALGO)
  • Gerth S. Brodal (MADALGO)
  • John Iacono (Polytechnic Institute of New York University)
  • Else Magard (MADALGO)
  • Sara Ølholm (CS, Aarhus)
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Revised 2014.05.14

MADALGO - Center for Massive Data Algorithmics, a Center of the Danish National Research Foundation / Department of Computer Science / Aarhus University