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Research Methods and Analytics in Project Studies

Number/CodeWP-RMAPS / WP-SK-RMAPS
Module nameResearch Methods and Analytics in Project Studies
Type of moduleCompulsory elective (production engineering and ergonomics / human-organization technology)
Learning outcomes, competencies (qualification objectives)Students are familiar with various qualitative, quantitative and combined methods of data collection and analysis in the project context. They can select and justify the appropriate method depending on the situation and apply it independently. Students can evaluate primary sources and critically reflect on the reliability of project-related research results.
Types of courseSeminar 4 SWS
Course content

In addition to technical knowledge, analytical skills in connection with the collection and evaluation of data are indispensable in project management. These skills also play an important role in the preparation of final theses. The seminar therefore has the following methodological focus:

  • Overview of scientific methods of data collection and analysis in the field of project management
  • Basics of theory-building research
  • Various methods of data collection and data analysis in the context of qualitative and quantitative empirical social research
  • Data triangulation and case study approach
  • Mixed-method approaches
Course titlesResearch Methods and Analytics in Project Studies

(Teaching/learning methods)

Teaching and learning methods (ZEVA)

Seminar lectures, group work, presentations, exercises
Applicability of the module

M. Sc. Mechanical Engineering

Open to students from other departments, provided that the respective degree program allows the subject to be included in the elective area.

Duration of the moduleOne semester
Frequency of the moduleEvery winter semester
LanguageEnglish (as a rule), German (after announcement)
Recommended (content-related) prerequisites for participation in the module None. The module is particularly suitable for advanced students as preparation for a final thesis and for students with an interest in research (e.g. for orientation with a view to a possible doctorate).
Prerequisites for participation in the moduleRegistration required
Student workload

4 SWS (60 hours)

Self-study 80 hrs.

CourseworkActive participation (participation in group work and discussions as well as contributions to discussions during the course or moderation of sessions)
Prerequisite for admission to the examination-
Examination performance Written elaboration (project work: 20-30 pages), coupled with lecture/presentation (15 minutes)
Number of credits for the module6 credits
Teaching unitDepartment 15
Person responsible for the moduleProf. Dr. Timo Braun
Lecturers of the moduleProf. Dr. Timo Braun and research assistants
Media forms
  • Slides (PowerPoint, projector)
  • PC lab
Literature
  • Field, A. 2024 Discovering Statistics Using IBM SPSS Statistics. 6th edition. Sage Publishing: Thousand Oaks.
  • Müller-Seitz, G., Braun, T. 2013. Writing successful theses - In the study of business administration and economics. Pearson: Munich.
    Schnell, R.; Hill, P; Esser, E. 2023: Methods of empirical social research. 12th edition. Oldenburg: Munich.
  • Yin, R. 2017: Case Study Research and Applications: Design and Methods. 6th edition. Sage Publishing: Thousand Oaks.

Further literature will be announced in the course.