Skip to main content
Course

GMGI210 Geographic Information Systems (GIS)

Credits (ECTS):10

Responsible faculty:Fakultet for realfag og teknologi

Course responsible:Svein Olav Krøgli

Campus / Online:Taught campus Ås

Teaching language:Norwegian

Course frequency:Annually

Nominal workload:250 hours.

Teaching and exam period:This course starts in Spring parallel. This course has teaching/evaluation in Spring parallel.

About this course

The course addresses topics within geographic information systems (GIS) such as vector and raster representation, topology, handling of geographic data, vector-based and raster-based operations and analyses, geodatabases, uncertainty, visualization of geodata, and GIS in a societal context.

Learning outcome

Through theory and practical exercises, students will learn the basic principles of using geographic information systems (GIS). After completing the course, the student should: have acquired knowledge of geographic data and data models, be familiar with important geographic data and actors, be familiar with a selection of methods for geographic analysis and be aware of their limitations and possibilities, be able to assess the quality of geographic data and be familiar with principles for cartographic communication.

  • Learning activities

    Lectures, exercises and assignments.

  • Teaching support

    Canvas. Teaching support will be given primarily in connection with that part of the structured teaching that is set aside for exercise guidance.

  • Syllabus

    Stated in Canvas.

  • Prerequisites

    LAD102.

  • Recommended prerequisites

    STAT100/DAT110.

  • Assessment method

    Final written exam, 3 hours. Grading scale A-F.

    One written exam Karakterregel: Letter grades Hjelpemiddel: A1 No calculator, no other aids

  • About use of AI

    K2.

    In the group assignment, AI can be used for brainstorming and proofreading. The use of AI should be described with a brief explanation of which programs you have used and how the program has been used in the text. The group is responsible for the final content of the text after proofreading.

    The use of AI must comply with the guidelines for the use of artificial intelligence (AI) at NMBU.

    Descriptions of AI-category codes.

  • Examiner scheme

    The external and internal examiner jointly prepare the exam questions and the correction manual. The external examiner reviews the internal examiner's examination results by correcting a random sample of candidate exams as a calibration according to the faculty's guidelines for examination markings.

  • Mandatory activity

    Assignments. One of them is a group assignment.

  • Teaching hours

    Lectures: 28 hours. Exercises: 56 hours.

  • Admission requirements

    Minimum requirements for entrance to higher education in Norway (generell studiekompetanse)