Hasso-Plattner-Institut25 Jahre HPI
Hasso-Plattner-Institut25 Jahre HPI
 

Probability and Computing (Sommersemester 2019)

Dozent: Prof. Dr. Tobias Friedrich (Algorithm Engineering) , Dr. Andreas Göbel (Algorithm Engineering)
Website zum Kurs: https://hpi.de/friedrich/teaching/ss19/probcomp.html

Allgemeine Information

  • Semesterwochenstunden: 4
  • ECTS: 6
  • Benotet: Ja
  • Einschreibefrist: 26.04.2019
  • Lehrform: Vorlesung / Übung
  • Belegungsart: Wahlpflichtmodul
  • Lehrsprache: Englisch
  • Maximale Teilnehmerzahl: 30

Studiengänge, Modulgruppen & Module

IT-Systems Engineering MA
  • IT-Systems Engineering
    • HPI-ITSE-A Analyse
  • IT-Systems Engineering
    • HPI-ITSE-E Entwurf
  • IT-Systems Engineering
    • HPI-ITSE-K Konstruktion
  • IT-Systems Engineering
    • HPI-ITSE-M Maintenance
  • ISAE: Internet, Security & Algorithm Engineering
    • HPI-ISAE-S Spezialisierung
  • ISAE: Internet, Security & Algorithm Engineering
    • HPI-ISAE-T Techniken und Werkzeuge
  • ISAE: Internet, Security & Algorithm Engineering
    • HPI-ISAE-K Konzepte und Methoden
Data Engineering MA

Beschreibung

This lecture will be held in English and consists of of two parts.

In this lecture we will review important techniques and results that combine probability theory and computation. Topics include:

  • Randomised Algorithms
  • The probabilistic method
  • The Markov chain Monte Carlo method
  • Random structures and phase transitions
  • Discrete time/continuous space random processes

Voraussetzungen

The course requires knowledge of probability theory and basic knowledge of algorithmic design.

Literatur

The main textbook is ``Probability and Computing'' by Mitzenmacher and Upfal.

Leistungserfassung

Students will be given homework bi-weekly. The successful hand in of homework is required for students to participate in the final exam.

Termine

  • Mondays: 13:30-15:00 in HS1
  • Wednesdays:  11:00-12:30 in HS1

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