Semester:WS 19/20
Art:Modul/LV/Prüfung
Sprache:Englisch
ECTS-Credits:3.0
Plansemester:3
Lektionen / Semester:30.0 L / 27.0 h
Selbststudium:63.0 h
Art:Modul/LV/Prüfung
Sprache:Englisch
ECTS-Credits:3.0
Plansemester:3
Lektionen / Semester:30.0 L / 27.0 h
Selbststudium:63.0 h
Modulleitung/Dozierende
- Assoz. Prof. Dr. Johannes Schneider
(Modulleitung)
- Dr. rer. oec. Michael Reiner Kamm, MSc
(Modulleitungsassistenz)
Studiengang
Masterstudium Wirtschaftsinformatik (01.09.2019)Lehrveranstaltungen
Beschreibung
Short description
The course focuses on developing research proposals in the field of data science.
Topics
- Conducting literature reviews
- Developing research questions
- Designing qualitative, quantitative, and design oriented research
- Writing research proposals
- Ethical issues in data science
Lernergebnisse
- Students will know the professional code of conduct of the academic IS discipline.
- Students will effectively communicate academic research designs.
- Students will produce rigorous research proposals in the area of data science.
- Students will recognize and analyze ethical problems of designing and conducting research in the field of data science.
Kompetenzen
Lehrmethoden
The module integrates theoretical knowledge and practical skills in an interactive seminar.The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.
Voraussetzungen (inhaltlich)
Recommended previous knowledge
- Research Methods
Literatur
Compulsory reading
- Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. Sage
Prüfungsmodalitäten
An attendance of min. 80% is necessary to obtain a positive grade in this course.
Seminar Paper (100%)
Prüfungen
- PWW-MA_Research Seminar (WS 19/20, bewertet)