Semester:WS 18/19
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
An attendance of min. 80% is necessary to obtain a positive grade in this course.
Seminar Paper (100%)
Exams
- PWW-MA_Research Seminar Data Science (WS 18/19, bewertet)