No.: 506.000,
Semester: 3. S[211], S[521] and S[524], Type:
Lecture/Practical, Hours/Week: 2 LP, ECTS: 3
Lecturer
Ernst Stadlober
Moritz Jirak
StatUniv.-Prof. Dr. StadloberUniv.-Prof. Dr. StadloberUniv.-Prof. Dr. Stadloberus of the Course
Univ.-Prof. Dr. StadloberUniv.-Prof. Dr. StadloberUniv.-Prof. Dr. Stadlober
Compulsory course of Telematics, Computer Science, Software
Development-Economy
Aims and objectives
To provide a solid introduction to probability theory.With this
background the students should be able to specify
and solve
simple probabilistic problems.
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.
Probability
Theory. Fundamental Concepts, Laplace Probability
and
Combinatorics, Conditional Probability, Random Variables and their
Distributions, Discrete Distributions, Continuous Distributions, Random
Vectors, Limit Theorems.
Pre-requisites
Calculus T1.
Teaching aids
Stadlober, E. (2007), Wahrscheinlichkeitstheorie 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,
Examination method
Continuous assessment and written exam