107.258 Computational Statistics
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, 3.0h, 4.5EC

Properties

  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VU Lecture and Exercise

Learning outcomes

After successful completion of the course, students are able to use the statistical open source software R. This means to use R to manipulate data, visualize data and to analyse data as well as to write own R code.

Subject of course

Through introduction to the statistical software R. Especially the different data structures and how to manipulate and visualize data.

The main focus of the statistical methods lies on estimation and testing and linear regression.

Teaching methods

Regular usage of R on the own laptop.

Mode of examination

Written and oral

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon15:00 - 17:0007.10.2019Informatikhörsaal - ARCH-INF Vorbesprechung NORDHAUSEN
Mon12:30 - 14:3014.10.2019 - 27.01.2020Sem.R. DA grün 05 Vorlesung Klaus Nordhausen
Wed12:30 - 13:3023.10.2019 - 29.01.2020Sem.R. DA grün 05 Vorlesung Nordhausen
Computational Statistics - Single appointments
DayDateTimeLocationDescription
Mon07.10.201915:00 - 17:00Informatikhörsaal - ARCH-INF Vorbesprechung NORDHAUSEN
Mon14.10.201912:30 - 14:30Sem.R. DA grün 05 Vorlesung Klaus Nordhausen
Mon21.10.201912:30 - 14:30Sem.R. DA grün 05 Vorlesung Klaus Nordhausen
Wed23.10.201912:30 - 13:30Sem.R. DA grün 05 Vorlesung Nordhausen
Mon28.10.201912:30 - 14:30Sem.R. DA grün 05 Vorlesung Klaus Nordhausen
Wed30.10.201912:30 - 13:30Sem.R. DA grün 05 Vorlesung Nordhausen
Mon04.11.201912:30 - 14:30Sem.R. DA grün 05 Vorlesung Klaus Nordhausen
Wed06.11.201912:30 - 13:30Sem.R. DA grün 05 Vorlesung Nordhausen
Mon11.11.201912:30 - 14:30Sem.R. DA grün 05 Vorlesung Klaus Nordhausen
Wed13.11.201912:30 - 13:30Sem.R. DA grün 05 Vorlesung Nordhausen
Mon18.11.201912:30 - 14:30Sem.R. DA grün 05 Vorlesung Klaus Nordhausen
Wed20.11.201912:30 - 13:30Sem.R. DA grün 05 Vorlesung Nordhausen
Mon25.11.201912:30 - 14:30Sem.R. DA grün 05 Vorlesung Klaus Nordhausen
Wed27.11.201912:30 - 13:30Sem.R. DA grün 05 Vorlesung Nordhausen
Mon02.12.201912:30 - 14:30Sem.R. DA grün 05 Vorlesung Klaus Nordhausen
Wed04.12.201912:30 - 13:30Sem.R. DA grün 05 Vorlesung Nordhausen
Mon09.12.201912:30 - 14:30Sem.R. DA grün 05 Vorlesung Klaus Nordhausen
Wed11.12.201912:30 - 13:30Sem.R. DA grün 05 Vorlesung Nordhausen
Mon16.12.201912:30 - 14:30Sem.R. DA grün 05 Vorlesung Klaus Nordhausen
Wed18.12.201912:30 - 13:30Sem.R. DA grün 05 Vorlesung Nordhausen

Examination modalities

written and oral

Course registration

Begin End Deregistration end
22.07.2019 00:00 11.10.2019 23:59 28.10.2019 23:00

Registration modalities

Ort: TISS

Curricula

Study CodeObligationSemesterPrecon.Info
033 201 Technical Mathematics Mandatory elective
033 203 Statistics and Mathematics in Economics Mandatory5. Semester
033 534 Software & Information Engineering Mandatory elective
066 395 Statistics and Mathematics in Economics Mandatory elective
066 926 Business Informatics Mandatory elective

Literature

 

 

Previous knowledge

Basic knowledge in statistics is expected. Which mean this advanced course is recommended for the 5. semester.

Language

German