Scientific & Empirical Methods
Niveau
Introduction & in-depth study
Learning outcomes of the courses/module
The participants:
• explain the principles of academic work, research logic and academic integrity.
• search for, evaluate and cite academic sources in compliance with copyright and citation standards.
• apply digital tools and assistance systems in a targeted and reflective way within the research process.
• apply descriptive and exploratory statistics.
• interpret and visualise empirical results in tables, charts or short reports.
• reflect on the importance of scientific methodology for well-founded decisions in energy and sustainability management within the context of scientific responsibility.
• explain the principles of academic work, research logic and academic integrity.
• search for, evaluate and cite academic sources in compliance with copyright and citation standards.
• apply digital tools and assistance systems in a targeted and reflective way within the research process.
• apply descriptive and exploratory statistics.
• interpret and visualise empirical results in tables, charts or short reports.
• reflect on the importance of scientific methodology for well-founded decisions in energy and sustainability management within the context of scientific responsibility.
Prerequisites for the course
Basic knowledge of statistics and academic work from school or vocational training
Course content
- Fundamentals of academic work and 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 analyzes
- Use of digital tools and assistance systems
- Data visualisation 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 analyzes
- Use of digital tools and assistance systems
- Data visualisation 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
1