Inhalt

[ 951RDSDDSCS24 ] SE Data Science

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
4 ECTS M1 - Master's programme 1. year Statistics Andreas Quatember 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Statistics and Data Science 2025W
Learning Outcomes
Competences
Students are able to independently acquire knowledge and insights from the literature in a specific field of statistics and data science including recent developments and to pass on the knowledge they have acquired.
Skills Knowledge
  • Knowing the techniques for scientific writing and independent processing of a statistical question (k1,k2,k3)
  • Applying presentation techniques (k2,k3)
  • Reading, understanding and critically reflecting on scientific literature on a given in-depth topic from the field of statistics and data science (k2,k4,k5)
  • Writing a scientifically correct seminar report on a topic (k2,k4,k5,k6)
  • Conveying and defending the acquired insights in presentations (k2,k4,k5)
  • Actively participating in discussions on the presentations of other participants (k4,k5)
The knowledge of in-depth methods in a special field of statistics and data science with a changing focus must be acquired through literature research and own considerations.
Criteria for evaluation presentation, discussion, written report
Methods presentations by students

plenary discussion of each presentation

Language English
Study material will be announced each semester
Changing subject? Yes
Is completed if 951APSTDASS23:SE Data Science (6 ECTS)
951APSTSAPS17 : SE Statistical Applications (6 ECTS) (2017W-2023S)

Die überschüssigen ECTS können für die freien Studienleistungen verwendet werden.

On-site course
Maximum number of participants 20
Assignment procedure Assignment according to priority