Technische Universität Ilmenau

Time Series Analysis - 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Please note that this page is no longer updated.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 200452 - common information
module number200452
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 experience

Maßtheorie & Stochastik oder Stochastik, besser Stochastische Prozesse

learning outcome

Die Studierenden sind nach der Vorlesung und den sie begleitenden Übungen in der Lage, Zeitreihendaten im Rahmen der behandelten Modellklassen zu modellieren, zu analysieren und vorherzusagen.

content

Stationäre Prozesse und ihre Vorhersage, Schätzung von Erwartungswert und Kovarianz, ARMA-Prozesse, Spektralanalyse, Zustandsraummodelle und Kalman-Filter, Finanzzeitreihen

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

Tafel, Skript, Aufgaben, Software

literature / references

Brockwell, P. J. and Davis, R. A. (2006). Time Series: Theory and Methods, 2nd edn, Springer-Verlag, New York.
Hannan, E. J. (1983). Time Series Analysis, Chapman and Hall International, London.
Durbin, J. and Koopman, S. J. (2001). Time Series Analysis by State Space Methods, Oxford University Press, Oxford.
Franke, J., Härdle, W. and Hafner, C. M. (2004). Statistics of Financial Markets, Springer-Verlag, Berlin.

evaluation of teaching
Details reference subject
module nameTime Series Analysis
examination number2400804
credit points5
SWS3 (2 V, 1 Ü, 0 P)
on-campus program (h)33.75
self-study (h)116.25
obligationobligatory module
examoral examination performance, 30 minutes
details of the certificate
link to Moodle course
teacher

Univ.-Prof. Dr. Jana de Wiljes

signup details for alternative examinations
maximum number of participants
Details in degree program Bachelor Informatik 2013, Master Technische Kybernetik und Systemtheorie 2021, Bachelor Zwei-Fach-Bachelor für berufliche Bildung 2024, Bachelor Data Science 2025, Master Data Science 2026
module nameTime Series Analysis
examination number2400804
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