Statistical Analysis Techniques - 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Please note that this page is no longer updated.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 5803 - common information | |
|---|---|
| module number | 5803 |
| department | Department of Mathematics and Natural Sciences |
| ID of group | 241B (Stochastics) |
| module leader | Prof. Dr. Thomas Hotz |
| language | Deutsch |
| term | Sommersemester |
| previous knowledge and experience | Analysis und Lineare Algebra, Wahrscheinlichkeitsrechnung, Mathematische Statistik |
| learning outcome | Die Studierenden sind in der Lage, erhobene Daten im Rahmen eines geeigneten statistischen Modells, insbesondere desjenigen der linearen Regresseion, zu analysieren und die Qualität dieser Modellierung kritisch zu prüfen. |
| content | Lineares Modell, Kleinste-Quadrate-Schätzer, Inferenz im Gaußschen linearen Modell, Asymptotik, Abweichungen von den Modellannahmen, Residuenanalyse, Modellwahl, optimale Versuchsplanung, Studienplanung und -protokoll, zufällige und gemischte Effekte, verallgemeinerte lineare Modelle |
| media of instruction and technical requirements for education and examination in case of online participation | Tafel, Skript, Aufgaben, Software |
| literature / references | Rao, C. R., Toutenburg, H., Shalabh and Heumann, C. (2008). Linear Models and Generalizations – Least Squares and Alternatives, Springer series in statistics, 3rd edn, Springer, Berlin. |
| evaluation of teaching | |
| Details reference subject | |
|---|---|
| module name | Statistical Analysis Techniques |
| examination number | 2400177 |
| credit points | |
| SWS | 3 |
| on-campus program (h) | |
| self-study (h) | |
| obligation | obligatory module |
| exam | none |
| 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 name | Statistical Analysis Techniques |
| examination number | 2400177 |
| credit points | 4 |
| on-campus program (h) | 34 |
| self-study (h) | 86 |
| obligation | elective module |
| exam | none |
| details of the certificate | |
| link to Moodle course | |
| signup details for alternative examinations | |
| maximum number of participants | |