The course covers basic statistical theory and the quantitative and qualitative analysis of structured and unstructured information related to fisheries management.
Students are drilled in data retrieval, treatment, analysis, and presentation, using simple and widely available software.
Relevance for study program: The course provides a practical background for scientific analysis and reporting in a multidisciplinary environment.
Intended learning outcomes:
The exam consists of portfolio assessment. The grading scale is A-F, where A-E is passed, and F is failed.
Submission of reports and essay: electronically.
The following work requirements are mandatory. Each item will be evaluated with pass/fail. All requirements have to be passed in order for the student to be allowed to take the exam.
A re-sit exam will be arranged in the next semester. A student may re-sit only the part of the portfolio that he/she has failed.