Pre-Doc Program - Combinatorics, Geometry, and Computation - ETH Zurich
Emo Welzl
emo at inf.ethz.ch
Tue Dec 12 16:53:27 PST 2000
First Call for Applications
Pre-Doc Program
Combinatorics, Geometry, and Computation (CGC)
October 2001 -- March 2002
www.cgc.ethz.ch
(At ETH Zurich -- part of Berlin/Zurich CGC Graduate Program)
ETH Zurich offers a one-semester study program that focuses on
the preparation of a Ph.D. in areas like: Discrete and Computational
Geometry; Computer Graphics and Vision; Algorithms Design, Analysis
and Implementation; Optimization and Mathematical Programming.
Building blocks of the program are four 5-week research oriented
courses, a project and the preparation of a proposal for a Ph.D.
(see schedule and topics below).
ETH offers a limited number of scholarships of Sfr 2'200 per month
(for a six months period) for students with a Diploma or Masters in
a field related to the topics of the program (including computer
science, mathematics, electrical engineering, and physics). There is
a possibility of continuing a Ph.D. in the Berlin/Zurich CGC Graduate
Program (although it is not automatically implied by acceptance to the
PreDoc program). Students who plan to continue their Ph.D. at some
other university, or are in the course of doing a Ph.D., are also
welcome. Advanced Diploma or Masters students can be considered for a
one-semester exchange program as well, if a feasible arrangement with
their home universities can be made.
The language of the program is English. The program is open to
applicants of all nationalities.
Students who receive a scholarship are expected to provide teaching
assistance.
Applications with curriculum vitae, copies of certificates,
(diploma/masters) thesis, areas of interest, a letter of
recommendation of the last advisor, should be sent to:
Emo Welzl
Institut Theoretische Informatik
ETH Zentrum
CH-8092 Zurich
Switzerland
Application deadlines are Jan 19, 2001, Mar 23, 2001, and May 30, 2001;
last deadline dependent on availability. Applicants will be notified of
results about one month after the respective deadline. This stepwise
procedure allows students to obtain a commitment at an early stage,
while leaving some options for those who fulfill the necessary
prerequisites only at a later stage.
For further information consult the web page of the Berlin/Zurich CGC
Graduate Program <http://www.cgc.ethz.ch> or email
<cgc.predoc at inf.ethz.ch>.
--------------------------------------------------------------------------
SCHEDULE 2001/2002
(Courses, lecturers, and abstracts below)
---------------------------------------
Oct 1 Reading assignments
---------------------------------------
Oct 22 Courses
-Nov 23 Mo&Tu RandAlgs
Th&Fr TopCoGe
---------------------------------------
Nov 29 Projects, reading assignments
-Dec 19 and presentations
---------------------------------------
Jan 7 Courses
-Feb 8 Mo&Tu GraphVis
Th&Fr ApproxAlgs
---------------------------------------
Feb 14 Preparation of Ph.D. proposal
-Mar 28 and presentations
---------------------------------------
COURSES
Courses will be held two days a week, for a five-weeks period.
As a rough framework, every day includes 3 hours of lectures,
exercises in groups, and a discussion of exercises.
RandAlgs
Randomized Algorithms
(Emo Welzl)
Randomized algorithms have by now emerged in many fields,
and have lead to several improvements compared to
deterministic methods. We will discuss several basic methods
in several areas, including graph algorithms and geometry,
optimization, discrepancy, and solving of hard problems (e.g.
SAT). The emphasis will be on understanding of the basic
methods, so that they can be applied in several situations.
TopCoGe
Topological methods in combinatorics and geometry
(Jiri Matousek)
One of the important tools for proving results in discrete
mathematics are theorems from algebraic topology, most notably
various fixed-point theorems. The course covers the basic
topological notions and results (simplicial complexes,
Borsuk-Ulam theorem and its generalizations etc.) and proofs
of several combinatorial and geometric results. The topological
notions and results are kept on very elementary level. In
particular, knowledge of elementary algebraic topology, like
introductory homology theory, is (encouraged but) not required.
GraphVis
Advanced Topics in Vision and Graphics
(Luc van Gool, Markus Gross, Bernt Schiele, Gabor Szekely)
Although being two separate disciplines we observe that
Graphics and Vision are increasingly converging. Independently
developed methods and algorithms are being combined and merged
into sophisticated frameworks covering a wide range of
applications. In this course we will present a selection of
advanced topics in Vision and Graphics illustrating the tight
relationship between the two disciplines. We will discuss
recent research results and developments in both areas with
a special emphasis on modeling and geometry. Topics include
the notion of invariance, methods for 3D reconstruction,
learning and statistical modeling, mesh signal processing,
image based rendering, deformable templates and FEM. The course
will be organized into separate modules each of which consists
of lectures and practical or theoretical exercises.
ApproxAlgs
Approximation: Theory and Algorithms
(Johannes Bloemer, Maurice Cochand, Thomas Erlebach,
Bernd Gaertner, Angelika Steger, Peter Widmayer)
This course is concerned with approximation algorithms for
NP-hard optimization problems. The topics covered include:
basic and advanced approximation algorithms for selected
problems; more general techniques such as linear programming
relaxation, derandomization, and semidefinite programming;
inapproximability and the PCP concept.
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