FSK-3006 Model theory and data processing methods - 10 stp
The course covers basic statistical theory and the quantitative and qualitative analysis of biological and economic information as well as methods used in social sciences related to fisheries management. Students are drilled in data retrieval, treatment, analysis and presentation, using simple and widely available software.
Intended learning outcomes:
- apply basic quantitative methods to process, analyze, test hypotheses and visualize structured and unstructured data (e.g. generalized linear models)
- apply basic qualitative methods to process, analyze, test hypotheses and visualize structured and unstructured data (e.g. content analysis, conceptual frameworks)
- explain results of the data processing and data analysis methods that were used
- use simple models to represent systems and make forecasts
- familiarize with both academic and business-like research and development environments
- summarize and present qualitative and quantitative data
- perform statistical analyses using different software
- practice different oral and written communication skills
- communicate findings of analyses to support decision-making
Relevance for study program:
The course provides a practical background for scientific analysis and reporting in a multidisciplinary environment.
The course has portfolio assessment. Three reports together count 50% and essay (home exam) counts 50% of final grade. The grading scale is A-F, where A-E is passed, and F is failed.
Submission of reports and essay: electronically.
- Written report on quantitative methods assignment (max. 3 pages, without references and annexes).
- Written report on qualitative methods assignment (max. 3 pages, without references and annexes).
- Written or video report on modelling assignment (if written report, max. 3 pages, without references and annexes).
- Final essay (home exam) on given topic (two weeks) (max. 10 pages, without references and annexes).
- Up to five written reports on quantitative methods assignments (all these have to receive the qualification "passed" before the submission of the final exam) (each report max. 2 pages, without references and annexes).
- Oral presentation on a given article (max. 20 minutes).
- Oral presentation on a given topic (quantitative method, qualitative method or modelling) (duration varies depending on the topic).
- Oral presentation on use of data analysis methods in own Master's thesis (max. 20 minutes).
- Oral presentation of the essay (on given topic) (group presentation, max. 20 min).
A re-sit exam will be arranged in the next semester.