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 2025W
Learning Outcomes
Competences
Students are able to apply basic methods of descriptive and inductive statistics. They can analyse data statistically correctly using these methods and correctly interpret statistical analyses and results. They can also perform statistical analyses using the statistical program package R.
Skills Knowledge
  • practical implementation of the skills acquired in the corresponding lecture using exercise assignments (K3)
  • see corresponding lecture
  • statistical 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 This exercise forms a didactic unit with the corresponding lecture. The learning outcomes described here are achieved through the interaction of the two courses.
Corresponding lecture (*)INBPBUESTA1: UE Statistik 1 (3 ECTS)
On-site course
Maximum number of participants 35
Assignment procedure Direct assignment