Inhalt

[ 551GRSDSSDK21 ] KV Software for statistics and data science

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS B1 - Bachelor's programme 1. year Statistics Markus Hainy 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Statistics and Data Science 2025W
Learning Outcomes
Competences
Students are able to use SPSS and Mathematica to solve simple statistical and mathematical problems.
Skills Knowledge
  • Ability to enter, import and transform data in SPSS (k3)
  • Conducting univariate and multivariate (cross tabulations, correlation) descriptive analyses with SPSS (k3, k4)
  • Performing simple inferential statistical procedures such as t-tests or chi-square tests in SPSS (k3, k4)
  • Understanding how a computer algebra system such as Mathematica works (k2)
  • Solving basic mathematical tasks such as differentiation, integration, solving systems of equations, root-finding using Mathematica (k3)
  • Creating graphical representations of functions using Mathematica (k3)
  • Structure and windows of SPSS
  • Important functions in SPSS for case selection and data transformation
  • SPSS functions for univariate and multivariate statistical analyses
  • SPSS functions for creating suitable graphics
  • Important language elements of Mathematica and important functions
  • Functions for solving mathematical problems such as differentiation, integration, solving systems of equations, root-finding in Mathematica
  • How to define and use one’s own functions in Mathematica
  • Graphics functions in Mathematica
Criteria for evaluation Homeworks
Methods Presentation by the instructor; Discussion of the homeworks presented by students
Language German
Changing subject? No
On-site course
Maximum number of participants 40
Assignment procedure Assignment according to priority