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Please note that this page is no longer updated.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 Stochastic Processes in degree program Master Data Science 2026
module number200450
examination number2400802
departmentDepartment of Mathematics and Natural Sciences
ID of group 2412 (Probability Theory and Mathematical Statistics)
module leaderProf. Dr. Thomas Hotz
term winter term only
languageDeutsch
credit points10
on-campus program (h)67
self-study (h)233
obligationelective module
examoral examination performance, 30 minutes
details of the certificate
link to Moodle course
teacher
signup details for alternative examinations
maximum number of participants
previous knowledge and experience

Maßtheorie & Stochastik

learning outcome

Die Studierenden sind nach der Vorlesung und den sie begleitenden Übungen in der Lage, stochastische Prozesse im Rahmen der behandelten Modellklassen geeignet zu modellieren und das stochastische Verhalten dieser Modelle zu analysieren.

content

Grundlagen, Poisson-Prozess, Gaußsche Prozesse, Martingale, Markovprozesse, 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