Big Data Analytics

Faculty

Faculty of Agricultural Science and Landscape Architecture

Version

Version 1 of 16.07.2025.

Module identifier

44M0139

Module level

Master

Language of instruction

German, English

ECTS credit points and grading

5.0

Module frequency

only summer term

Duration

1 semester

 

 

Overall workload

The total workload for the module is 150 hours (see also "ECTS credit points and grading").

Teaching and learning methods
Lecturer based learning
Workload hoursType of teachingMedia implementationConcretization
30Seminar-
Lecturer independent learning
Workload hoursType of teachingMedia implementationConcretization
100Work in small groups-
20Preparation/follow-up for course work-
Graded examination
  • Case analysis, written
Ungraded exam
  • Regular participation
Remark on the assessment methods

Grading in the portfolio: Case study, written (FSS) - 70% + Answer-Voting Procedure (AWV) - 15% + Answer-Voting Procedure (AWV) - 15%;

Regular participation (RT) - ungraded

Literature

Wickham, Hadley, et al. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 2nd edition, O’Reilly Media, Inc, 2023.

Weitere Literaturempfehlungen werden zu Beginn der Veranstaltung bekannt gegeben.

Applicability in study programs

  • Applied Livestock Sciences
    • Applied Livestock Sciences M.Sc. (01.09.2025)

  • Agriculture, Food Science and Business
    • Agriculture, Food Science and Business M.Sc. (01.09.2025)

  • Applied Plant Sciences M.Sc. (01.09.2025)
    • Applied Plant Sciences M.Sc. (01.09.2025)

    Person responsible for the module
    • Meseth, Nicolas
    Teachers
    • Meseth, Nicolas