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Modern Algorithm Theory (Wintersemester 2018/2019)

Dozent: Prof. Dr. Tobias Friedrich (Algorithm Engineering) , Dr. Thomas Bläsius (Algorithm Engineering) , Dr. Katrin Casel (Algorithm Engineering) , Dr. Andreas Göbel (Algorithm Engineering) , Dr. Timo Kötzing (Algorithm Engineering) , Dr. Pascal Lenzner (Algorithm Engineering)

Allgemeine Information

  • Semesterwochenstunden: 2
  • ECTS: 3
  • Benotet: Ja
  • Einschreibefrist: 26.10.2018
  • Lehrform: Seminar
  • Belegungsart: Wahlpflichtmodul
  • Maximale Teilnehmerzahl: 20

Studiengänge & Module

IT-Systems Engineering MA
Data Engineering MA
  • DATA-Konzepte und Methoden
  • DATA-Techniken und Werkzeuge
  • DATA-Spezialisierung
Digital Health MA

Beschreibung

For a successful Master's Thesis as a research level work, a student needs the following three ingredients.

  1. Knowledge of the field.
  2. Ability to solve problems in uncertain and changing environments.
  3. Ability to analyze and understand the relevant literature.

The first ingredient is taught in lectures; the second in project seminars and bachelor/master projects. The third is covered by seminars. In this seminar the students can chose from a wide variety of topics offered by various members of the group. Each topic comes with a small number of papers (typically one) which then have to be read, understood and presented.

The topics include

  • Parameterized Complexity Analysis;
  • Counting Complexity;
  • Game Theory;
  • Drift Theory;
  • Network Theory;
  • Graph Drawing;
  • Approximation Algorithms;
  • Randomized Algorithms and Processes.

Voraussetzungen

There are no formal requirements for taking this seminar. You should be comfortable with reading and understanding also elaborate proofs (any lecture offered by the Algorithm Engeneering group covers this).

Literatur

The different papers that can be chosen will be presented in the first class.

Lern- und Lehrformen

In the first meeting we will offer an overview over the course covering the different topics. At this first meeting, each interested student can chose a topic to present about and a date for presentation. Each student prepares the following three items.

  1. An 80-minutes lecture her topic, where half the time introduces the material and the other half is reserved for exercises for the other participants.
  2. A one-page handout/summary of the talk, which is provided to all other participants at the beginning of the lecture.
  3. A summary of 3-5 pages of all details presented, submitted to the advisor of the talk, due two weeks after the presentation.

Two weeks before the presentation of a topic there is a personal meeting with the advisor for the topic in order to clarify any questions (including regarding the material) and for discussing a possible structure for the talk. At another meeting about one week before the presentation a first draft of the talk can be discussed with the advisor. After the talk there will be a feedback meeting with the advisor. Two weeks after the talk the written summary is due.

Leistungserfassung

A preliminary grade is assigned based on the oral presentation and the handout. The written summary can change this grade a little.

Termine

We meet weekly on Mondays at 15:15 in H-2.57 (skipping days without presentations)

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