Technische Universität Ilmenau

Stochastic Models - Interactive curriculae of TU Ilmenau

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module properties module number 7930 - common information
module number7930
departmentDepartment of Mathematics and Natural Sciences
ID of group2412 (Probability Theory and Mathematical Statistics)
module leaderProf. Dr. Thomas Hotz
languageDeutsch
term Sommersemester
previous knowledge and experienceGrundkurs Wahrscheinlichkeitsrechnung
learning outcomeDie Studierenden kennen wichtige Klassen stochastischer Prozesse, die bei der Modellierung von Computernetzen eine Rolle spielen, und können derartige Prozesse simulieren. Sie sind mit den klassischen Modellen der Warteschlangentheorie und -netzwerke vertraut.
contentErzeugung von Pseudozufallszahlen; Grundbegriffe der Theorie zufälliger Prozesse, Markovsche Prozesse mit diskreter und stetiger Zeit, Poissonprozess, Simulation dieser Prozesse;
Grundlagen der Warteschlangentheorie und der Warteschlangennetzwerke
media of instruction and technical requirements for education and examination in case of online participationSkript
literature / referencesS. M. Ross: Introduction to Probability Models. 9. Auflage, Acdemic Press 2006.
R. Nelson: Probability, Stochastic Processes, and Queueing Theory: The Mathematics of Computer Perfomance Modeling. Springer 2000.
evaluation of teaching
Details reference subject
module nameStochastic Models
examination number2400276
credit points4
SWS3
on-campus program (h)33.75
self-study (h)86.25
obligationobligatory module
examoral examination performance, 30 minutes
details of the certificate
link to Moodle course
teacher
signup details for alternative examinations
maximum number of participants
Details in degree program Master Informatik 2013
module nameStochastic Models
examination number2400276
credit points5
on-campus program (h)34
self-study (h)116
obligationelective module
examoral examination performance, 30 minutes
details of the certificate
link to Moodle course
signup details for alternative examinations
maximum number of participants