Suchergebnis: Katalogdaten im Herbstsemester 2019

Informatik Master Information
Vertiefungsfächer
Vertiefung in Theoretical Computer Science
Seminar in Theoretical Computer Science
NummerTitelTypECTSUmfangDozierende
252-4202-00LSeminar in Theoretical Computer Science Information W2 KP2SA. Steger, B. Gärtner, M. Ghaffari, M. Hoffmann, J. Lengler, D. Steurer, B. Sudakov
KurzbeschreibungPräsentation wichtiger und aktueller Arbeiten aus der theoretischen Informatik, sowie eigener Ergebnisse von Diplomanden und Doktoranden.
LernzielDas Lernziel ist, Studierende an die aktuelle Forschung heranzuführen und sie in die Lage zu versetzen, wissenschaftliche Arbeiten zu lesen, zu verstehen, und zu präsentieren.
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.)
263-4505-00LAlgorithms for Large-Scale Graph Processing 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.
W2 KP2SM. Ghaffari
KurzbeschreibungThis is a theory seminar, where we present and discuss recent algorithmic developments for
processing large-scale graphs. In particular, we focus on Massively Parallel Computation (MPC)
algorithms. MPC is a clean and general theoretical framework that captures the essential aspects
of computational problems in large-scale processing settings such as MapReduce, Hadoop,
Spark, Dryad, etc.
LernzielThis seminar familiarizes students with foundational aspects of large-scale graph processing,
and especially the related algorithmic tools and techniques. In particular, we discuss recent
developments in the area of Massively Parallel Computation. This is a mathematical abstraction
of practical large-scale processing settings such as MapReduce, and it has been receiving
significant attention over the past few years.

The seminar assumes no particular familiarity with parallel computation. However, we expect
that all the students are comfortable with basics of algorithms design and analysis, as well as
probability theory.

In the course of the seminar, the students learn how to structure a scientific presentation
(in English) which covers the key ideas of a paper, while omitting the less significant details.
InhaltThe seminar will cover a number of the recent papers on Massively Parallel Computation.
As mentioned above, no familiarity with parallel computation is needed and all the relevant
background information will be explain by the instructor in the first lecture.
LiteraturThe papers will be presented in the first session of the seminar.
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