Scientific & Empirical Methods (E)
Niveau
Introductory & advanced
Learning outcomes of the courses/module
The participants:
• explain the principles of academic work, research logic, and academic integrity.
• research, evaluate, and cite academic sources in compliance with copyright and citation standards.
• apply digital tools and assistance systems in a targeted and reflective manner within the research process.
• apply descriptive and exploratory statistics.
• interpret and visualize empirical results in tables, charts, or short reports.
• reflect on the importance of scientific methodology for well-founded decisions in facility & real estate management, in the context of scientific responsibility.
• explain the principles of academic work, research logic, and academic integrity.
• research, evaluate, and cite academic sources in compliance with copyright and citation standards.
• apply digital tools and assistance systems in a targeted and reflective manner within the research process.
• apply descriptive and exploratory statistics.
• interpret and visualize empirical results in tables, charts, or short reports.
• reflect on the importance of scientific methodology for well-founded decisions in facility & real estate management, in the context of scientific responsibility.
Prerequisites for the course
Basic knowledge of statistics and academic working methods from school or vocational training
Course content
- Fundamentals of academic work and the principles of good academic practice
- Copyright, citation rules, and plagiarism avoidance
- Structure of academic texts and the research process
- Introduction to empirical methods: qualitative and quantitative approaches
- Descriptive statistics and simple data analyses
- Use of digital tools and assistance systems
- Data visualization and documentation of results
- Copyright, citation rules, and plagiarism avoidance
- Structure of academic texts and the research process
- Introduction to empirical methods: qualitative and quantitative approaches
- Descriptive statistics and simple data analyses
- Use of digital tools and assistance systems
- Data visualization and documentation of results
Recommended specialist literature
- Alley, M. (2018). The craft of scientific writing (Fourth edition). Springer.
- American psychological association (Ed.). (2020). Publication manual of the American psychological association: The official guide to APA style (7th ed).
- Gastel, B., & Day, R. (2019). How to Write and Publish a Scientific Paper (1st ed). Greenwood. https://doi.org/10.5040/9798400666926
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2021). An introduction to statistical learning: With applications in R (Second edition). Springer.
- Shumway, R. H., & Stoffer, D. S. (2017). Time Series Analysis and Its Applications: With R Examples (4th ed. 2017). Springer. https://doi.org/10.1007/978-3-319-52452-8
- American psychological association (Ed.). (2020). Publication manual of the American psychological association: The official guide to APA style (7th ed).
- Gastel, B., & Day, R. (2019). How to Write and Publish a Scientific Paper (1st ed). Greenwood. https://doi.org/10.5040/9798400666926
- James, G., Witten, D., Hastie, T., & Tibshirani, R. (2021). An introduction to statistical learning: With applications in R (Second edition). Springer.
- Shumway, R. H., & Stoffer, D. S. (2017). Time Series Analysis and Its Applications: With R Examples (4th ed. 2017). Springer. https://doi.org/10.1007/978-3-319-52452-8
Assessment methods and criteria
Portfolio assessment
Language
English
Number of ECTS credits awarded
5
Semester hours per week
Planned teaching and learning method
Lectures, discussions, case studies, group work
Semester/trimester in which the course/module is offered
3