Stochastic Processes for Computer Science


No.: 506.007, Semester: 3. S[211], Type: Lecture/Practical, Hours/Week: 1 LP, ECTS: 1.5

Lecturer
Ernst Stadlober
Johannes Moritz Jirak

Status of the Course
Compulsory course of Telematics

Aims and objectives
To provide a solid introduction to stochastic processes. Students should gain practice in working with basic stochastic models.

Teaching method
The presentation is problem-oriented and motivated by practical examples. Assignments are given which should be worked out independently and presented in the lecture.

Stochastic Processes. Special stochastic processes, Poisson Process, Discrete Markov Chains.

Pre-requisites
Calculus T1.

Teaching aids
Stadlober, E. (2007), Stochastische Prozesse für Informatikstudien, Skriptum, 1. Auflage, Institut für Statistik.
Beichelt, F. (1996), Stochastische Prozesse für Ingenieure, B.G. Teubner, Stuttgart.
Greiner, M. und Tinhofer, G. (1996), Stochastik für Studienanfänger der Informatik, Carl Hanser, München.
Jondral, F. und Wiesler, A. (2002). Wahrscheinlichkeitsrechnung und stochastische Prozesse.
Grundlagen für Ingenieure und Naturwissenschaftler, 2. Auflage, B.G. Teubner, Stuttgart.
Viniotis, Y. (1998), Probability and Random Processes for Electrical Engineers, McGraw Hill,
Boston.

Examination method
Continuous assessment and written exam


Practical


Former Examinations


Schedule


This page last modified  January 7, 2009. (m0ritz@yahoo.com).