FSK-3006 Model theory and data processing methods - 10 stp

This cource is obligatory in the Master's programme in International Fisheries Management (IFM). The course can also be taken as a singular course.

The course covers basic statistical theory and the quantitative analysis of biological and economic information as well as methods used in social sciences related to fisheries management. In a professional context, students are drilled in data retrieval, treatment, analysis and presentation, using simple and widely available software.

Application code: 9371

Recommended entrance requirements are BIO-3556 Fishery Biology and Harvest Technology or similar background, and basic familiarity with quantitative methods.

Knowledge:

• apply quantitative and qualitative methods to process, analyze, test hypotheses and visualize data
• 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

Skills:

• summarize and present qualitative and quantitative data
• perform statistical analyses using different software
• practice different oral and written communication skills

General competences:

• communicate findings of analyses to support decision-making

Lectures, seminars, workshops, computer labs, peer-teaching, simulations, blended learning, game-based learning. Each student will give up to three presentations about given exercises and own research.

The learning outcomes can only be achieved through active student participation. Students are thus expected to prepare before every session.

Reports (50% final grade) and essay on given theme (50% final grade).

The grading scale is A-F, where A-E is passed, and F is failed. Pass marks in the two assessment parts (set of reports and essay) is a requirement for successful completion of the course.

Submission of reports: electronically. Submission of essay: electronically, up to 2 weeks after announcement of the essay.

Expected exam date: early/mid December. A re-sit exam will be arranged in the next semester.

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