107.106 Statistical Computing
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020S, VO, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VO Lecture

Learning outcomes

After successful completion of the course, students are able to

  • outline the scheme and the structure of programing in the software environment R,
  • efficiently work with bigger and more complex data sets in R, including visualization.

Subject of course

This lecture gives an introduction into statistical data analysis using modern computer methods with an emphasis on applied practical work. The topics include the statistical language R application of statistical models and tests using R graphical data visualization regression writing code in R development, packaging and documentation of software.

Teaching methods

Exercises based on real data

Mode of examination

Written and oral

Additional information

The content will be practiced with excercices from the learning platform www.datacamp.com. For the duration of this course, every participant will receive unlimited access to learning material from this platform.

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue14:00 - 16:0003.03.2020 - 23.06.2020Hörsaal 6 Vorlesung Filzmoser
Statistical Computing - Single appointments
DayDateTimeLocationDescription
Tue03.03.202014:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue10.03.202014:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue17.03.202014:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue24.03.202014:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue31.03.202014:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue21.04.202014:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue28.04.202014:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue05.05.202014:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue12.05.202014:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue19.05.202014:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue26.05.202014:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue09.06.202014:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue16.06.202014:00 - 16:00Hörsaal 6 Vorlesung Filzmoser
Tue23.06.202014:00 - 16:00Hörsaal 6 Vorlesung Filzmoser

Examination modalities

Will be announced in the course.

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Tue - 18.02.2020oral06.01.2020 09:00 - 16.02.2020 09:00TISSStatComp1

Course registration

Begin End Deregistration end
25.02.2020 12:00 14.03.2020 12:00 14.03.2020 12:00

Curricula

Study CodeSemesterPrecon.Info
033 203 Statistics and Mathematics in Economics
033 531 Data Engineering & Statistics 3. Semester
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
066 421 Geodesy and Geoinformation 2. Semester
066 645 Data Science 2. Semester
860 GW Optional Courses - Technical Mathematics

Literature

All related documents will be available at the online lecture.

Miscellaneous

Language

if required in English