Technische Universität Ilmenau

Discrete Stochastics - 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Please note that this page is no longer updated.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 200401 - common information
module number200401
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

Analysis 1, Lineare Algebra 1

learning outcome

Die Studierenden sind in der Lage, Zufallsexperimente zu modellieren, derartige Modelle zu simulieren, kritisch zu bewerten und zu analysieren. Ferner sind sie mit den Grundbegriffen der Statistik vertraut und können mit ihrer Hilfe rechnergestützt Daten analysieren.

content

Diskrete Wahrscheinlichkeitsräume, bedingte Wahrscheinlichkeiten, Zufallsvariablen, diskrete Verteilungen, Erwartungswert und Varianz, Gesetze der großen und der kleinen Zahlen, beschreibende Statistik, statistisches Modell, Punktschätzer und ihre Eigenschaften, Momenten- und Maximum-Likelihood-Schätzer, Konfidenzbereiche, Vorhersagen

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

Tafel, Skript, Aufgaben, Software

literature / references

Henze, N.: Stochastik für Einsteiger. 12. Aufl., Springer, 2018.
Peck, R., Short, T., Olsen, C.: Statistics - Learning from Data. 2. Aufl., Cengage, 2019.
Ross, S. M.: Introduction to Probability Models. 12. Aufl., Academic Press, 2019.
Krengel, U.: Einführung in die Wahrscheinlichkeitstheorie und Statistik, 4. Aufl., vieweg, 1998.
McKinney, W.: Python for Data Analysis. 2. Aufl., O'Reilly, 2018.

evaluation of teaching
Details reference subject
module nameDiscrete Stochastics
examination number2400752
credit points5
SWS4 (2 V, 2 Ü, 0 P)
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 Bachelor Mathematik 2021
module nameDiscrete Stochastics
examination number2400752
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