Basic Knowledge in Data Science
- Faculty
Faculty of Business Management and Social Sciences
- Version
Version 1 of 31.01.2025.
- Module identifier
22B1504
- Module level
Bachelor
- Language of instruction
German
- ECTS credit points and grading
5.0
- Module frequency
only winterterm
- 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 Hours of workload Type of teaching Media implementation Concretization 40 Seminar Presence - 20 Practice Presence - Lecturer independent learning Hours of workload Type of teaching Media implementation Concretization 40 Preparation/follow-up for course work - 50 seminar paper -
- Graded examination
- Written examination or
- Portfolio exam
- Literature
Field, Andy: Discovering Statistics Using R, Sage Publishers Field, Andy: Discovering Statistics Using SPSS, Sage Publishers Green, Christopher: The Stat 390 R Primer, University of Washington, www.stat.washington.edu/cggreen/rprimer/
- Applicability in study programs
- Business Information Systems - WiSo
- Business Information Systems B.Sc. (01.09.2024) WiSo
- Business Administration and Management
- Business Administration and Management, B.A.
- Person responsible for the module
- Faatz, Andreas
- Teachers
- Faatz, Andreas