spring 2022
FSK-3053 Bioinformatics for aquatic biology and aquaculture - 10 ECTS

Last changed 16.11.2021

Application deadline

Applicants from countries within EU/EEA: December 1st for the spring semester. Exchange students and Fulbright students: 1 October for the spring semester.

Type of course

The course is available as a singular optional course within the program Fiskeri - og havbruksvitenskap and Biology programs.

Admission requirements

Admission to FSK-3053 requires a Bachelor's degree (180 ECTS) in Fiskeri- og havbruksvitenskap or Biology. 

FSK-2053 Data science and bioinformatics for fisheries and aquaculture, or equivalent course in data science and bioinformatics, is a requirement.

Biological knowledge, e.g. from the FHV or biology programs, is an advantage. Previous experience in programming languages (e.g. R) and as an user of Linux systems is an advantage.

9371 - application code singular course.


Obligatory prerequisites

FSK-2053 Data science and bioinformatics for fisheries and aquaculture

Course content

The objective of this course is to learn how bioinformatics tools can be used for problem solving in ecology of marine and freshwater environments, fisheries, and aquaculture. The course will provide training in the use of relevant bioinformatic concepts, software for bioinformatic analysis and programming languages (e.g. R). The students will be trained in the use of remote computing environments and online data resources. The course will focus on relevant ecological and industrial problems that can be solved with molecular genetics and bioinforElectmatics tools. We will cover methods for population genomics, transcriptomics, molecular biodiversity assessment, and species detection from environmental DNA.

Objectives of the course

The students will obtain;

Knowledge

  • Understanding the foundations of bioinformatics and its potential applications in aquatic biology, fisheries, and aquaculture
  • Evaluating the importance of genetic and biodiversity information for the management of natural ecosystems, fisheries and aquaculture
  • Organizing and analyzing different kinds of molecular data to infer useful information 

Skills

  • Writing scripts to analyze and visualize data
  • Retrieving public data from on-line data repositories
  • Analyze massively parallel sequencing data using bioinformatics tools
  • Generating reports to present the results of bioinformatic analyses

Competence

  • Developing planning skills to implement bioinformatic approaches to solve practical problems
  • Understanding the potential of bioinformatics as a leveraging tool to address current societal challenges


Language of instruction

The course will be taught in English. The students can choose the language they prefer for writing their exercises and home project (Norwegian or English).

Teaching methods

The teaching will be a combination of theoretical lectures and practical exercises, with seminars to discuss results of different approaches to relevant practical problems. An important part of the sessions will be taught in the computing classroom, so the students can have access to online resources and tools. 

Information to incoming exchange students

This course is available for inbound exchange students.

This course has academic prerequisites. Please see the «Admission requirements» section for more information.

Do you have questions about this module? Please check the following website to contact the course coordinator for exchange students at the faculty: INBOUND STUDENT MOBILITY: COURSE COORDINATORS AT THE FACULTIES | UiT


Assessment

The exam consists of 2 parts:

  • Four exercises in computer format, either development of short scripts or results of data analyses (counts 30 %)
  • The final exam (counts 70%) will be a home exam (5-7 pages) where a relevant topic must be developed.

The grading scale is A - F, where F is fail.

The students will get feedback on their part-exams and final home project, and they will be allowed to submit a revised version of the home exam to improve the final grade.

There will not be a re-sit examination for students that did not pass the previous ordinary examination. 


Schedule

  • About the course
  • Campus: Tromsø |
  • ECTS: 10
  • Course code: FSK-3053