107.330 Statistical Simulation and Computerintensive Methods
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020W, VU, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to independently apply and implement simulation based and computerintensive methods using the statistical software R to solve complex statistical problems.

Subject of course

Generation of Random Numbers, Simulation, Jackknife, Bootstrap, crossvalidation, testing via resampling methods, Bayesian sampling with MCMC.

Teaching methods

The idea of the Hybrid format is to provide the lecture as video material, but offer support for the exercises during the "presence" time in smaller groups which we be held at the TU location, as long as we are allowed to do so. This should create an atmosphere for asking questions and individual support, but will not be mandatory for everyone as only a maximum of 30 students will be allowed at any given time.

 

Regular usage of R on the own laptop.

Mode of examination

Written and oral

Lecturers

Contributors

Institute

Course dates

DayTimeDateLocationDescription
Tue08:00 - 09:0006.10.2020 - 26.01.2021EI 3 Sahulka HS Vorlesung Posekany
Statistical Simulation and Computerintensive Methods - Single appointments
DayDateTimeLocationDescription
Tue06.10.202008:00 - 09:00EI 3 Sahulka HS Vorlesung Posekany
Tue13.10.202008:00 - 09:00EI 3 Sahulka HS Vorlesung Posekany
Tue20.10.202008:00 - 09:00EI 3 Sahulka HS Vorlesung Posekany
Tue27.10.202008:00 - 09:00EI 3 Sahulka HS Vorlesung Posekany
Tue03.11.202008:00 - 09:00EI 3 Sahulka HS Vorlesung Posekany
Tue10.11.202008:00 - 09:00EI 3 Sahulka HS Vorlesung Posekany
Tue17.11.202008:00 - 09:00EI 3 Sahulka HS Vorlesung Posekany
Tue24.11.202008:00 - 09:00EI 3 Sahulka HS Vorlesung Posekany
Tue01.12.202008:00 - 09:00EI 3 Sahulka HS Vorlesung Posekany
Tue15.12.202008:00 - 09:00EI 3 Sahulka HS Vorlesung Posekany
Tue12.01.202108:00 - 09:00EI 3 Sahulka HS Vorlesung Posekany
Tue19.01.202108:00 - 09:00EI 3 Sahulka HS Vorlesung Posekany
Tue26.01.202108:00 - 09:00EI 3 Sahulka HS Vorlesung Posekany

Examination modalities

written and oral

Course registration

Begin End Deregistration end
31.08.2020 06:00 05.10.2020 21:00

Curricula

Study CodeSemesterPrecon.Info
033 531 Data Engineering & Statistics
033 533 Medical Informatics STEOP
Course requires the completion of the introductory and orientation phase
033 534 Software & Information Engineering STEOP
Course requires the completion of the introductory and orientation phase
066 395 Statistics and Mathematics in Economics
066 645 Data Science
860 GW Optional Courses - Technical Mathematics

Literature

No lecture notes are available.

Language

German