Maximilian Probst: Katalogdaten im Herbstsemester 2023

NameHerr Dr. Maximilian Probst
NamensvariantenMaximilian Probst Gutenberg
Adresse
Professur Theoretische Informatik
ETH Zürich, OAT Z 14.2
Andreasstrasse 5
8092 Zürich
SWITZERLAND
E-Mailmaximilian.probst@inf.ethz.ch
URLhttps://sites.google.com/view/maximilianprobst/home
DepartementInformatik
BeziehungDozent

NummerTitelECTSUmfangDozierende
263-4500-00LAdvanced Algorithms Information 9 KP3V + 2U + 3AJ. Lengler, B. Häupler, M. Probst
KurzbeschreibungThis is a graduate-level course on algorithm design (and analysis). It covers a range of topics and techniques in approximation algorithms, sketching and streaming algorithms, and online algorithms.
LernzielThis course familiarizes the students with some of the main tools and techniques in modern subareas of algorithm design.
InhaltThe lectures will cover a range of topics, tentatively including the following: graph sparsifications while preserving cuts or distances, various approximation algorithms techniques and concepts, metric embeddings and probabilistic tree embeddings, online algorithms, multiplicative weight updates, streaming algorithms, sketching algorithms, and derandomization.
Skripthttps://people.inf.ethz.ch/~aroeyskoe/AA23
Voraussetzungen / BesonderesThis course is designed for masters and doctoral students and it especially targets those interested in theoretical computer science, but it should also be accessible to last-year bachelor students.

Sufficient comfort with both (A) Algorithm Design & Analysis and (B) Probability & Concentrations. E.g., having passed the course Algorithms, Probability, and Computing (APC) is highly recommended, though not required formally. If you are not sure whether you're ready for this class or not, please consult the instructor.
KompetenzenKompetenzen
Fachspezifische KompetenzenKonzepte und Theoriengefördert
Methodenspezifische KompetenzenAnalytische Kompetenzengefördert
Entscheidungsfindunggefördert
Problemlösunggefördert