Inhalt

[ 551BASDSSDS19 ] SE Seminar in Statistics and Data Science

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
12 ECTS B3 - Bachelor's programme 3. year Statistics Helga Wagner 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Statistics and Data Science 2025W
Learning Outcomes
Competences
Students can work independently on a scientific task from the field of statistics and data science and write and present a paper on it as well as discuss it.
Skills Knowledge
  • Knowing the techniques for writing and independent processing of a scientific topic (k1,k2,k3)
  • Applying presentation techniques (k2,k3)
  • Independent development of scientific literature on a given topic from the field of statistics and data science (k2,k4,k5)
  • Writing a supervised Bachelor’s thesis on a topic in a scientifically correct manner (k2,k4,k5,k6)
  • Conveying and defending the knowledge gained in presentations (k2,k4,k5)
  • Active participation in discussions on the presentations of other participants (k4,k5)
The required methodological knowledge in a specialized area of statistics and data science must be acquired independently by studying the relevant literature.
Criteria for evaluation presentations of the student

bachelor thesis

Methods presentation by the instructor

presentations by the students

Language German
Study material Eco, Umberto (2010). Wie man eine wissenschaftliche Arbeit schreibt. UTB
Changing subject? Yes
On-site course
Maximum number of participants 25
Assignment procedure Assignment according to priority