Angelika Steger: Katalogdaten im Frühjahrssemester 2019

Auszeichnung: Die Goldene Eule
NameFrau Prof. Dr. Angelika Steger
LehrgebietInformatik (Theoretische Informatik)
Adresse
Inst. f. Theoretische Informatik
ETH Zürich, OAT Z 27
Andreasstrasse 5
8092 Zürich
SWITZERLAND
E-Mailsteger@inf.ethz.ch
URLhttp://www.cadmo.ethz.ch/as/people/professor/asteger/index
DepartementInformatik
BeziehungOrdentliche Professorin

NummerTitelECTSUmfangDozierende
252-0030-00LAlgorithmen und Wahrscheinlichkeit Information 7 KP4V + 2UA. Steger
KurzbeschreibungEs werden klassische Algorithmen aus verschiedenen Anwendungsbereichen vorgestellt. In die diskrete Wahrscheinlichkeitstheorie wird eingeführt und das Konzept randomisierter Algorithmen an verschiedenen Beispielen vorgestellt.
LernzielVerständnis des Entwurfs und der Analyse von Algorithmen. Grundlagen der diskreten Wahrscheinlichkeitstheorie und ihrer Anwendung in der Algorithmik.
InhaltFortsetzung der Vorlesung Algorithmen und Datenstrukturen des ersten Semesters.
252-4102-00LSeminar on Randomized Algorithms and Probabilistic Methods
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.
2 KP2SA. Steger
KurzbeschreibungThe aim of the seminar is to study papers which bring the students to the forefront of today's research topics. This semester we will study selected papers of the conference Symposium on Discrete Algorithms (SODA18).
LernzielRead papers from the forefront of today's research; learn how to give a scientific talk.
Voraussetzungen / BesonderesThe seminar is open for both students from mathematics and students from computer science. As prerequisite we require that you passed the course Randomized Algorithms and Probabilistic Methods (or equivalent, if you come from abroad).
252-4202-00LSeminar in Theoretical Computer Science Information
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.
2 KP2SA. Steger, B. Gärtner, M. Ghaffari, M. Hoffmann, J. Lengler, D. Steurer, B. Sudakov
KurzbeschreibungPresentation of recent publications in theoretical computer science, including results by diploma, masters and doctoral candidates.
LernzielTo get an overview of current research in the areas covered by the involved research groups. To present results from the literature.
Voraussetzungen / BesonderesThis seminar takes place as part of the joint research seminar of several theory groups. Intended participation is for students with excellent performance only. Formal minimal requirement is passing of one of the courses Algorithms, Probability, and Computing, Randomized Algorithms and Probabilistic Methods, Geometry: Combinatorics and Algorithms, Advanced Algorithms. (If you cannot fulfill this restriction, because this is your first term at ETH, but you believe that you satisfy equivalent criteria, please send an email with a detailed description of your reasoning to the organizers of the seminar.)
263-4110-00LInterdisciplinary Algorithms Lab Belegung eingeschränkt - Details anzeigen
Findet dieses Semester nicht statt.
Im Masterstudium können zusätzlich zu den Vertiefungsübergreifenden Fächern nur max. 10 KP mit Laboratorien erarbeitet werden. Weitere Labs werden auf dem Beiblatt aufgeführt.
5 KP2PA. Steger, D. Steurer
KurzbeschreibungIn this course students will develop solutions for algorithmic problems posed by researchers from other fields.
LernzielStudents will learn that in order to tackle algorithmic problems from an interdisciplinary or applied context one needs to combine a solid understanding of algorithmic methodology with insights into the problem at hand to judge which side constraints are essential and which can be loosened.
Voraussetzungen / BesonderesStudents will work in teams. Ideally, skills of team members complement each other.

Interested Bachelor students can apply for participation by sending an email to steger@inf.ethz.ch explaining motivation and transcripts.