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.

2019W, VU, 2.0h, 3.0EC

Properties

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

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.

Teaching methods

Regular usage of R on the own laptop.

Mode of examination

Written and oral

Lecturers

Contributors

Institute

Course dates

DayTimeDateLocationDescription
Tue08:30 - 10:0008.10.2019 - 28.01.2020EI 5 Hochenegg HS Vorlesung Nordhausen
Statistical Simulation and Computerintensive Methods - Single appointments
DayDateTimeLocationDescription
Tue08.10.201908:30 - 10:00EI 5 Hochenegg HS Vorlesung Nordhausen
Tue15.10.201908:30 - 10:00EI 5 Hochenegg HS Vorlesung Nordhausen
Tue22.10.201908:30 - 10:00EI 5 Hochenegg HS Vorlesung Nordhausen
Tue29.10.201908:30 - 10:00EI 5 Hochenegg HS Vorlesung Nordhausen
Tue05.11.201908:30 - 10:00EI 5 Hochenegg HS Vorlesung Nordhausen
Tue12.11.201908:30 - 10:00EI 5 Hochenegg HS Vorlesung Nordhausen
Tue19.11.201908:30 - 10:00EI 5 Hochenegg HS Vorlesung Nordhausen
Tue26.11.201908:30 - 10:00EI 5 Hochenegg HS Vorlesung Nordhausen
Tue03.12.201908:30 - 10:00EI 5 Hochenegg HS Vorlesung Nordhausen
Tue10.12.201908:30 - 10:00EI 5 Hochenegg HS Vorlesung Nordhausen
Tue17.12.201908:30 - 10:00EI 5 Hochenegg HS Vorlesung Nordhausen
Tue07.01.202008:30 - 10:00EI 5 Hochenegg HS Vorlesung Nordhausen
Tue14.01.202008:30 - 10:00EI 5 Hochenegg HS Vorlesung Nordhausen
Tue21.01.202008:30 - 10:00EI 5 Hochenegg HS Vorlesung Nordhausen
Tue28.01.202008:30 - 10:00EI 5 Hochenegg HS Vorlesung Nordhausen

Examination modalities

written and oral

Course registration

Begin End Deregistration end
02.09.2019 06:00 07.10.2019 21:00

Curricula

Study CodeObligationSemesterPrecon.Info
033 531 Data Engineering & Statistics Mandatory elective
033 533 Medical Informatics Mandatory electiveSTEOP
Course requires the completion of the introductory and orientation phase
033 534 Software & Information Engineering Mandatory electiveSTEOP
Course requires the completion of the introductory and orientation phase
066 395 Statistics and Mathematics in Economics Mandatory
066 645 Data Science Not specified
860 GW Optional Courses - Technical Mathematics Not specified

Literature

No lecture notes are available.

Language

German