EPN-V2

SMUA4600 Geographical Information Systems Course description

Course name in Norwegian
Geographical Information Systems
Weight
10.0 ECTS
Year of study
2023/2024
Course history
Curriculum
SPRING 2024
Schedule
  • Introduction

    Det benyttes ulike vurderingsformer. Det framgår av emneplanene;hvilken vurderingsform, vurderingsuttrykk, sensorordning og tilgjengelige;hjelpemidler som benyttes for det enkelte emne.

    Det benyttes intern og ekstern sensor til vurdering av masteroppgaven. Til vurdering av de øvrige eksamenene benyttes ekstern sensor til sensurering av et tilfeldig utvalg på 25 prosent av besvarelsene. Karakterene på de besvarelsene som er vurdert av ekstern sensor danner grunnlag for å fastsette nivå på besvarelsene innenfor de ulike karakteruttrykkene. Ved klage på sensur benyttes to nye sensorer, hvorav minst én ekstern til ny sensur.

    En student;som ønsker det kan besvare alle skriftlige eksamener, inkludert masteroppgaven, på engelsk. Det blir ikke utgitt engelsk oppgavetekst for dem som ønsker å besvare på engelsk.

    Studenten bes gjøre seg kjent med lov om universiteter og høgskoler og gjeldende forskrift om studier og eksamen ved OsloMet - storbyuniversitetet.;

  • Recommended preliminary courses

    None

  • Learning outcomes

    Upon completing the course, the student should have the following outcomes, defined in terms of knowledge, skills, and general competence.

    Knowledge:

    Upon successfully completion of the course, the student has gained sufficient knowledge to:

    • describe the components of a Geographic Information Systems (GIS)
    • explain GIS data structures and models, including vector and raster data
    • quantify and analyze the spatial distribution of phenomena and provide meaningful analysis of spatial attributes.

    Skills:

    Upon successfully completion of the course, the student can:

    • conduct GIS analysis by combining different spatial data operations such as distance calculation, overlay and buffer analysis, to address geospatial problems and/or research questions
    • demonstrate proficiency in the use of GIS tools to create maps that are fit-for-purpose and effectively convey the information they are intended to. 
    • implement advanced GIS functions or analyses by programming with Python (ArcGIS) or R (QGIS).

     

    General competence:

    Upon successfully completion of the course, the student is able to:

    • critically evaluate available sources for data in a GIS
    • reflect on the spatial impact of decision-making and on the potential for using large spatial datasets for in-depth multi-faceted analytics
    • demonstrate confidence in undertaking new (unfamiliar) analysis using GIS, troubleshoot problems in GIS, and seek help from software/website help menus and the GIS community to solve problems
    • communicate results in a powerful and effective way.
  • Teaching and learning methods

    The course is delivered through seminars and hands-on computer workshops.

    Teaching will be organized in topic-blocks with practical and theoretical parts in each block.

  • Course requirements

    One written group project assignment must be approved.

    Lab assignments must be handed in on Canvas

    Seminar assignments must be handed in on Canvas

    Students who fail to meet the coursework requirements can be given up to one re-submission opportunity.

  • Assessment

    Portfolio assessment:

    -Perform an individual GIS- analysis from a chosen urban area

    -Individual in-depth report, approx. 10-15 pages

    -Visual presentation with a poster

     

    Each student's work will be assessed together as a portfolio with one individual grade at the end of the semester, but all three parts that make up the portfolio must be assessed as 'pass' in order for the student to pass the course. The overall assessment can be appealed.

  • Permitted exam materials and equipment

    All aids allowed. 

  • Grading scale

    Graded scale A-F.

  • Examiners

    Two internal examiners. External examiners are used regularly.

  • Course contact person

    John Östh; Email: john.osth@oslomet.no