• Skip navigation
  • Skip to navigation
  • Skip to the bottom
Simulate organization breadcrumb open Simulate organization breadcrumb close
Friedrich-Alexander-Universität Digital Transformation: Bits to Energy Lab Nuremberg WiSo
  • FAUTo the central FAU website
  1. Friedrich-Alexander University
  2. School of Business, Economics and Society
Suche öffnen
  • Deutsch
    1. Friedrich-Alexander University
    2. School of Business, Economics and Society
    Friedrich-Alexander-Universität Digital Transformation: Bits to Energy Lab Nuremberg WiSo
    Navigation Navigation close
    • Research
    • Education
    • Team
    • Contact
    1. Home
    2. Education
    3. Courses
    4. Bachelor
    5. Experimentelle Verhaltensforschung in Data Science (EVIDS)

    Experimentelle Verhaltensforschung in Data Science (EVIDS)

    In page navigation: Education
    • Courses
      • Bachelor
        • Survey Research in Information Systems  - Gen AI Applications (SURIS)
        • Data-driven behavioral interventions for sustainability (DABIS)
        • Digital Transformation in the Energy and Mobility sector (DITEM)
        • E-Business und E-Commerce (EBEC)
        • Experimentelle Verhaltensforschung in Data Science (EVIDS)
      • Master
    • Theses

    Experimentelle Verhaltensforschung in Data Science (EVIDS)

    Contents

    In the course of digitalisation, data is becoming increasingly available that makes it possible to observe, analyse and understand human behaviour in various areas. Examples include transactions on websites, movement data recorded by smartphones or data from smart home devices. Accordingly, experimental behavioural research is becoming increasingly important in business practice and economics. In this module, students are taught basic knowledge of experimental research and practical application possibilities, which can be used to be able to answer behaviour-related questions in scientific and entrepreneurial practice in a well-founded manner.

    The lecture focuses in particular on the planning, organisation and implementation of behavioural experiments. The students learn theoretical scientific basics and understand the relevance of experimental research in companies and the economic sciences. In addition, students are taught how to develop and conduct their own experiments. The focus is on the generation of testable hypotheses, the selection of a suitable experimental design, the ethical conduct of experiments and the clear and comprehensible reporting of the results.

    The contents of the lecture are deepened in an accompanying exercise with training tasks and practice-oriented questions. The students will analyse and evaluate experimental designs in the literature as well as develop and present their own designs.

     


    In this course, students will

    • acquire a basic understanding of the importance of experimental research in the context of gaining scientific knowledge
    • learn to discuss how experimental methodology differs from other scientific research methods and what contribution experiments can make to business informatics research projects
    • learn to explain the basic principles and designs of experiments
    Recommended prerequisitesSuccessful participation in the lectures „Data Science: Datenauswertung“ and „Data Science: Statistik“
    Time and roomLecture: tbd ; exercise session: tbd
    Method of examinationWritten examination (90 minutes)
    Grading procedureWritten examination (100 %)
    Module frequencySummer term
    WorkloadLecture and exercise sessions: 50h
    Self-study: 100h
    Module duration1 Semester
    Teaching and examination languageGerman
    (Recommended) readingWill be announced in class
    Friedrich-Alexander-Universität
    Lehrstuhl für Digitale Transformation

    Lange Gasse 20
    90403 Nürnberg
    • Legal notice
    • Privacy
    • Accessibility
    • Facebook
    Up