Das Herbstsemester 2020 findet in einer gemischten Form aus Online- und Präsenzunterricht statt.
Bitte lesen Sie die publizierten Informationen zu den einzelnen Lehrveranstaltungen genau.

Peter Widmayer: Katalogdaten im Herbstsemester 2018

NameHerr Prof. Dr. Peter Widmayer
LehrgebietInformatik
Adresse
Inst. f. Theoretische Informatik
ETH Zürich, CAB H 39.2
Universitätstrasse 6
8092 Zürich
SWITZERLAND
Auszeichnung: Die Goldene Eule
E-Mailwidmayer@inf.ethz.ch
DepartementInformatik
BeziehungEmeritierter Professor

NummerTitelECTSUmfangDozierende
252-0209-00LAlgorithms, Probability, and Computing Information 8 KP4V + 2U + 1AE. Welzl, M. Ghaffari, A. Steger, D. Steurer, P. Widmayer
KurzbeschreibungAdvanced design and analysis methods for algorithms and data structures: Random(ized) Search Trees, Point Location, Minimum Cut, Linear Programming, Randomized Algebraic Algorithms (matchings), Probabilistically Checkable Proofs (introduction).
LernzielStudying and understanding of fundamental advanced concepts in algorithms, data structures and complexity theory.
SkriptWill be handed out.
LiteraturIntroduction to Algorithms by T. H. Cormen, C. E. Leiserson, R. L. Rivest;
Randomized Algorithms by R. Motwani und P. Raghavan;
Computational Geometry - Algorithms and Applications by M. de Berg, M. van Kreveld, M. Overmars, O. Schwarzkopf.
252-0933-00LAlgorithms and Complexity (HS)1 KP1SJ. Hromkovic, P. Widmayer
KurzbeschreibungThe seminar treats selected problems of current interest in the area of algorithms and complexity.
LernzielDevelop an understanding of selected problems of current interest in the area of algorithms and complexity.
InhaltThis seminar treats selected problems of current interest in the area of algorithms and complexity.
SkriptNone
LiteraturResearch papers, to be chosen in the seminar.
Voraussetzungen / BesonderesPrerequisites: Basic understanding of algorithms and complexity.
252-4230-00LAdvanced Algorithms and Data Structures Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 24.

As a prerequisite, students must have more than just basic knowledge on algorithms and data structures.
If you have enjoyed the class "Algorithms, Probability and Computing", this seminar is just right for you!

The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar.

Takes place for the last time!
2 KP2SP. Widmayer, S. Leucci, P. Uznanski
KurzbeschreibungWe will look into modern approaches of algorithms and data structures. A few breakthrough and highly influential papers from the general area of algorithms, from the past 20 years will be selected for students to study.
LernzielDevelop an understanding of modern techniques and paradigms in the design of algorithms and data structures.
InhaltTopics include (but are not exhausted by):

-graph algorithms,
-text algorithms,
-approximation algorithms,
-algebra in algorithms,
-streaming algorithms,
-conditional lower bounds,
-sparsification,
-randomness in algorithms,
-sampling.
Voraussetzungen / BesonderesAlgorithms and Data Structures, or equivalent.
263-0006-00LAlgorithms Lab
Only for master students, otherwise a special permission by the student administration of D-INFK is required.
8 KP4P + 3AA. Steger, E. Welzl, P. Widmayer
KurzbeschreibungStudents learn how to solve algorithmic problems given by a textual description (understanding problem setting, finding appropriate modeling, choosing suitable algorithms, and implementing them). Knowledge of basic algorithms and data structures is assumed; more advanced material and usage of standard libraries for combinatorial algorithms are introduced in tutorials.
LernzielThe objective of this course is to learn how to solve algorithmic problems given by a textual description. This includes appropriate problem modeling, choice of suitable (combinatorial) algorithms, and implementing them (using C/C++, STL, CGAL, and BGL).
LiteraturT. Cormen, C. Leiserson, R. Rivest: Introduction to Algorithms, MIT Press, 1990.
J. Hromkovic, Teubner: Theoretische Informatik, Springer, 2004 (English: Theoretical Computer Science, Springer 2003).
J. Kleinberg, É. Tardos: Algorithm Design, Addison Wesley, 2006.
H. R. Lewis, C. H. Papadimitriou: Elements of the Theory of Computation, Prentice Hall, 1998.
T. Ottmann, P. Widmayer: Algorithmen und Datenstrukturen, Spektrum, 2012.
R. Sedgewick: Algorithms in C++: Graph Algorithms, Addison-Wesley, 2001.