Semester:SS 19
Type:Module/Course/Examination
Language:English
ECTS-Credits:3.0
Scheduled in semester:3
Semester Hours per Week / Contact Hours:30.0 L / 27.0 h
Self-directed study time:63.0 h
Type:Module/Course/Examination
Language:English
ECTS-Credits:3.0
Scheduled in semester:3
Semester Hours per Week / Contact Hours:30.0 L / 27.0 h
Self-directed study time:63.0 h
Module coordination/Lecturers
- Assoz. Prof. Dr. Johannes Schneider
(Modulleitung)
- Dr. rer. oec. Michael Reiner Kamm, MSc
(Modulleitungsassistenz)
Curricula
Master's degree programme in Information Systems (01.09.2015)Description
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
Learning Outcomes
- 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.
Qualifications
Lectures Method
- 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.
Admission Requirements
Recommended previous knowledge
- Research Methods
Literature
Compulsory reading
- Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches. Sage
Exam Modalities
Seminar Paper (70%), Presentation (30%)
Exams
- PWW-MA_Research Seminar Data Science (SS 19, bewertet)