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Høst 2019

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

The course is administrated by

Faculty of Biosciences, Fisheries and Economics

Type of course

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

Course contents

Course contents

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.

Application deadline

Applicants from Nordic countries: 1 June for the autumn semester. Exchange students and Fulbright students: 15 April for the autumn semester.

Admission requirements

Application code: 9371

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

Objective of the course

Intended learning outcomes:



General competences:

Relevance for study program:

The course provides a practical background for scientific analysis and reporting in a multidisciplinary environment.

Language of instruction

The language of instruction and all syllabus material is English.

Teaching methods

Lectures, seminars, workshops, computer labs, peer-teaching, simulations, flipped-classroom and formative assessment.

The learning outcomes are effectively achieved through active student participation. Students are expected to prepare before every session.


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.


Work requirements

A re-sit exam will be arranged in the next semester.

Course overlap

FSK-2020 Sustainable fisheries 10 stp
Lectures Autumn 2019
First attendance: See time schedule
Lectures prof. Michaela Maria Aschan
prof. Antonio Jorge Fonseca Antunes Santos
f.aman. Melania Borit
post.doc. Thuy Thi Thanh Pham
forsker Charlotte Teresa Weber
f.aman. Keshav Prasad Paudel
stip. Timo Roman Szczepanska
stip. Cristiane Palaretti Bernardo
PC-lab prof. Antonio Jorge Fonseca Antunes Santos
f.aman. Melania Borit
post.doc. Thuy Thi Thanh Pham
f.aman. Keshav Prasad Paudel