Bernd Gärtner: Catalogue data in Spring Semester 2014

Name Prof. Dr. Bernd Gärtner
Address
Inst. f. Theoretische Informatik
ETH Zürich, OAT Z 15
Andreasstrasse 5
8092 Zürich
SWITZERLAND
Telephone+41 44 632 70 26
Fax+41 44 632 10 63
E-mailgaertner@inf.ethz.ch
URLhttp://people.inf.ethz.ch/gaertner/
DepartmentComputer Science
RelationshipAdjunct Professor

NumberTitleECTSHoursLecturers
252-4202-00LSeminar in Theoretical Computer Science Information 2 credits2SE. Welzl, B. Gärtner, M. Hoffmann, J. Lengler, A. Steger
AbstractPresentation of recent publications in theoretical computer science, including results by diploma, masters and doctoral candidates.
Learning objectiveTo get an overview of current research in the areas covered by the involved research groups. To present results from the literature.
252-4220-00LA Taste of Research: Algorithms and Combinatorics Information 2 credits2SB. Gärtner, J. Matousek, A. Steger, E. Welzl, P. Widmayer
AbstractStudents work together with lecturers on open problems in algorithms and combinatorics.
Learning objectiveThe goal is to learn and practice important research techniques: literature search, understanding and presenting research papers, developing ideas in the group, testing of conjectures with the computer, writing down results.
ContentWork on original research papers and open problems in the areas of algorithms and combinatorics.
Lecture notesNot available.
LiteratureWill be announced in the seminar and on the seminar's web page.
Prerequisites / NoticePassed first-year exam.
401-5900-00LOptimization and Applications Information 0 credits2KR. Weismantel, B. Gärtner, D. Klatte, J. Lygeros, M. Morari, K. Schmedders, R. Smith, R. Zenklusen
AbstractLectures on current topics in optimization.
Learning objectiveThis lecture series introduces graduate students to ongoing research activities (including applications) in the domain of optimization.
ContentThis seminar is a forum for researchers interested in optimization theory and its applications. Speakers, invited from both academic and non-academic institutions, are expected to stimulate discussions on theoretical and applied aspects of optimization and related subjects. The focus is on efficient (or practical) algorithms for continuous and discrete optimization problems, complexity analysis of algorithms and associated decision problems, approximation algorithms, mathematical modeling and solution procedures for real-world optimization problems in science, engineering, industries, public sectors etc.