Technische Universität Ilmenau

Stochastic Processes - Interactive curriculae of TU Ilmenau

The interactive curriculae provide information on the degree programmes offered by the TU Ilmenau.

Please refer to the respective study and examination rules and regulations for the legally binding curricula (Annex Curriculum).

You can find all details on planned lectures and classes in the course catalogue.

Please note that this page is no longer updated. All modules and study plans from PO version 2021 onwards (Bachelor and Master study programs) are now available on the Campus Portal.

module properties module number 5812 - common information
module number5812
departmentDepartment of Mathematics and Natural Sciences
ID of group2412 (Probability Theory and Mathematical Statistics)
module leaderProf. Dr. Thomas Hotz
languageDeutsch
term Wintersemester
previous knowledge and experience

maßtheoretisch fundierte Wahrscheinlichkeitstheorie

learning outcome

Die Studierenden sind in der Lage, stochastische Prozesse geeignet zu modellieren und zu analysieren.

content

Grundlagen, Poisson-Prozess, Gaußsche Prozesse, Martingale in diskreter Zeit, Markovketten, Brownsche Bewegung

media of instruction and technical requirements for education and examination in case of online participation

Tafel, Skript, Aufgaben, Software

literature / references

Durrett, R. (1996). Probability: Theory and Examples, 2nd edn, Wadsworth Publishing Company, Belmont, CA.
Klenke, A. (2006). Wahrscheinlichkeitstheorie, 3rd edn, Springer, Berlin.
Kallenberg, O. (2002). Foundations of Modern Probability, 2nd edn, Springer, New York.
Durrett, R. (1999). Essentials of Stochastic Processes, Springer, New York.

evaluation of teaching
Details reference subject
module nameStochastic Processes
examination number2400185
credit points5
SWS4
on-campus program (h)45
self-study (h)105
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 Mathematik und Wirtschaftsmathematik 2013 (WM), Master Mathematik und Wirtschaftsmathematik 2013 (AM)
module nameStochastic Processes
examination number2400185
credit points5
on-campus program (h)45
self-study (h)105
obligationobligatory module
examoral examination performance, 30 minutes
details of the certificate
link to Moodle course
signup details for alternative examinations
maximum number of participants