Peter Widmayer: Catalogue data in Spring Semester 2018

Award: The Golden Owl
Name Prof. em. Dr. Peter Widmayer
FieldInformatik
Address
Inst. f. Theoretische Informatik
ETH Zürich, CAB H 39.2
Universitätstrasse 6
8092 Zürich
SWITZERLAND
E-mailwidmayer@inf.ethz.ch
DepartmentComputer Science
RelationshipProfessor emeritus

NumberTitleECTSHoursLecturers
252-3002-00LAlgorithms for Database Systems Information
Limited number of participants.
2 credits2SP. Widmayer, P. Uznanski
AbstractQuery processing, optimization, stream-based systems, distributed and parallel databases, non-standard databases.
ObjectiveDevelop an understanding of selected problems of current interest in the area of algorithms for database systems.
252-4230-00LAdvanced Algorithms and Data Structures Information
Um das vorhandene Angebot optimal auszunutzen, behält sich das D-INFK vor, Belegungen von Studierenden zu löschen, die sich in mehreren Veranstaltungen dieser Kategorie eingeschrieben haben, bereits die erforderlichen Leistungen in dieser Kategorie erbracht haben oder aus anderen organisatorischen Gründen nicht auf die Belegung der Veranstaltung angewiesen sind.
2 credits2SP. Widmayer, S. Leucci, P. Uznanski
AbstractWe 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.
ObjectiveDevelop an understanding of modern techniques and paradigms in the design of algorithms and data structures.
ContentTopics 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.
Prerequisites / NoticeAlgorithms and Data Structures, or equivalent.
252-4302-00LSeminar Algorithmic Game Theory Information
Limited number of participants.
2 credits2SP. Widmayer, P. Penna
AbstractIn the seminar we will get familiar with the current original research in the area of algorithmic game theory by reading and presenting selected research papers in that area.
ObjectiveDevelop an understanding of selected problems of current interest in the area of algorithmic game theory, and a practice of a scientific presentation.
ContentStudy and understanding of selected topics of current interest in algorithmic game theory such as: Complexity Results (class PPAD, PLS, NP), Sponsored Search, Approximation Algorithms via Algorithmic Game Theory, Price of Anarchy, New paradigms of computation (e.g., envy-fee, truthful), Mechanism Design.
LiteratureSelected research articles.
Prerequisites / NoticeYou must have passed our "Algorithmic Game Theory" class (or have acquired equivalent knowledge, in exceptional cases).