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Data Literacy
(dt. Data Literacy)

Level, degree of commitment Advanced module, compulsory elective module
Forms of teaching and learning,
workload		 Lecture (2 SWS) and recitation class (2 SWS),
(attendance: 45 hours, preparation and follow-up: 105 hours, exam preparation: 30 hours)
Credit points,
formal requirements		 6 CP
Course requirement(s):
Examination type: Written examination. IMPORTANT: This module is offered by FB02; the exam can only be retaken twice.
Language,
Grading		 German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Business Administration.
Duration,
frequency		 One semester,
Person in charge of the module's outline Prof. Dr. Oscar A. Stolper

Contents

The module deals with quantitative empirical methods for management and organizational research. The module addresses the handling of management problems, the formation of hypotheses, as well as the choice of methods and their application. Furthermore, the implementation and interpretation of analyses and the necessary test procedures are presented.


Qualification Goals

After completing the module, students will be able to

  • describe and explain different methods for empirical organizational and management research,
  • apply methods to solve specific problems in case studies and
  • analyze the suitability of certain methods for selected problems.

Prerequisites

None.


Applicability

Module imported from B.Sc. Business Administration.

When studying B.Sc. Business Mathematics, this module can be attended in the study area Free Compulsory Elective Modules.


Recommended Reading

(not specified)



Please note:

This page describes a module according to the latest valid module guide in Winter semester 2025/26. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

  • Winter 2016/17 (no corresponding element)
  • Summer 2018 (no corresponding element)
  • Winter 2018/19 (no corresponding element)
  • Winter 2019/20 (no corresponding element)
  • Winter 2020/21 (no corresponding element)
  • Summer 2021 (no corresponding element)
  • Winter 2021/22 (no corresponding element)
  • Winter 2022/23 (no corresponding element)
  • Winter 2023/24 (no corresponding element)
  • Winter 2025/26

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.