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Høst 2022

BIO-3111 Geographical Information Systems (GIS) and Earth Observation - 10 stp

The course is administrated by

Institutt for arktisk og marin biologi

Type of course

Master course for biology students - principally aimed at MSc-students specializing in Northern Populations and Ecosystems. In addition to the Campus based teaching, BIO-3111 offer an alternative web based, distance eLearning solution.

The course is available as a singular course.

Course overlap

BIO-8102 Geographical information systems (GIS) and remote sensing data 10 stp

Course contents

An important tool when performing ecological and environmental analysis is GIS and satellites as providers of earth observation data. BIO-3111 focus on the application and integration of remote sensing data in GIS, including collecting, storing, analyzing and visualization of spatial data. The lectures focus on the basic of map projections, datum and the data´s spatial information, the fundamentals of electromagnetic radiation, reflection and absorption, satellite and sensor technology and digital image analysis. The course also present students to the theoretical background of global navigation satellite systems (GNSS) and its integration with GIS. The backbone of course activities are practical PC-exercises. Mainly open access data will be applied, along with the QGIS (ver. 3.16 'Hannover') geographic information system (GIS). QGIS is an open source GIS that can be freely installed on any PC operative systems (MS Windows OS, Mac OS, Linux OS and Android OS). 

Application deadline

Concerns only admission to singular courses: Applicants from Nordic countries: 1 June for the autumn semester and 1 December for the spring semester. Exchange students and Fulbright students: 15 October for the spring semester and 15 April for the autumn semester.

Admission requirements

Local admission , application code 9371  - Master`s level singular course.

Admission requires a Bachelor`s degree (180 ECTS) or equivalent qualification, with a major in biology of minimum 80 ECTS.

Recommended prerequisites: Students should have some familiarity with geographic information systems (GIS), basic statistics and general knowledge of practical use of computers.

Objective of the course


Skills/ Learning outcome:

General competence:

Language of instruction

The language of instruction is English and all of the syllabus material is in English. Examination questions will be given in English, but may be answered either in English or a Scandinavian language.

Teaching methods

12 hours in class lectures/video lecture, 10 hours self-learning PC-lab (both on-Campus and external students), 40 hours instructor lead PC-labs or web based eLearning PC-labs, 40 hours home exam. Total 102 hours.

Date for examination

Off campus exam hand in date 24.11.2022

The date for the exam can be changed. The final date will be announced at your faculty early in May and early in November.