Semester:SS 18
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)
- Sandra Beyer, MA
(Modulleitungsassistenz)
Studiengang
Masterstudium Information Systems (01.09.2015)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
Seminar Paper (70%), Presentation (30%)
Prüfungen
- PWW-MA_Research Seminar Data Science (SS 18, bewertet)