Big Data Analytics
- Faculty
Faculty of Agricultural Science and Landscape Architecture
- Version
Version 2 of 17.07.2025.
- 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 hours Type of teaching Media implementation Concretization 30 Seminar - Lecturer independent learning Workload hours Type of teaching Media implementation Concretization 100 Work in small groups - 20 Preparation/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