Inhalt

[ INBIPUESTAT ] UE Statistics

Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B2 - Bachelor's programme 2. year Computer Science Thomas Forstner 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Computer Science 2022W
Objectives Students can analyze data using basic descriptive and inductive statistical methods. Students can interpret statistical methods and results in other work. They can also perform statistical analyses using the program package R.

Subject
  • gaining a deeper understanding of the methods of descriptive and inductive statistics as presented in the corresponding lecture
  • introduction into the program package R
Criteria for evaluation weekly homework assignments and in-class presentation of these assignments
Methods
  • weekly homework assignments
  • in-class presentation and discussion of the homework assignments
  • live-coding in R
Language German
Study material
  • material of the corresponding lecture
  • slides provided by the instructor, available in Moodle
Changing subject? No
Further information department homepage: www.systat.jku.at
Corresponding lecture (*)INBPBUESTA1: UE Statistik 1 (3 ECTS)
On-site course
Maximum number of participants 35
Assignment procedure Direct assignment