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Advanced Algorithms
Last Updated: 2026-06-01 11:30:47
Abstract
This 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.
Objective
This course familiarizes the students with some of the main tools and techniques in modern subareas of algorithm design.
Content
The lectures will cover modern topics in algorithm design and analysis, 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.
Resources
Lecture Notes
https://people.inf.ethz.ch/~aroeyskoe/AA25
Learning Materials (Links)
- Main link
- Information
General Information
- Language
- English
- Levels
- BSC , MSC , WBZ
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Advanced Algorithms |
|
3 h weekly |
| exercise | Advanced Algorithms |
|
2 h weekly |
| independent project | Advanced Algorithms | No time listed | 3 h weekly |
Offered In
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Wahlfächer (Für das Master-Diplom in Angewandter Mathematik ist die folgende Zusatzbedingung (nicht in myStudies ersichtlich) zu beachten: Mindestens 14 KP der erforderlichen 26 KP aus Kern- und Wahlfächern müssen aus Bereichen der angewandten Mathematik und weiteren anwendungsorientierten Gebieten stammen.)
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Wahlfächer aus Bereichen der angewandten Mathematik ... (vollständiger Titel: Wahlfächer aus Bereichen der angewandten Mathematik und weiteren anwendungsorientierten Gebieten)
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