About this course

This course gives an introduction to programming of geographic analysis and programmatic handling of geographic data. In the course you will be introduced to different analysis methods within GIS and get practical experience in handling, managing, manipulating, and analysing geographic data.

Learning outcome

The student should after completion be able to conduct fundamental analysis of and with geographic data in Python, write code that analyse and visualize geographic data, and be able to read and understand code at a similar level of complexity.

  • Learning activities

    Lectures, exercises and self study. All exercises involves the use of Python.

  • Teaching support

    Canvas, and exercise guidance.

  • Syllabus

    Will be made available at the start of the semester.

  • Prerequisites

    GIS - Introduction (LAD102), or other equivalent introductory GIS course

  • Recommended prerequisites

    GMGI210. INF120

  • Assessment method

    The grading of this course is based on a portfolio, consisting of exercises and a project assignment. The exercises amounts to 30% of the final grade, and the project assignment amounts to 70%. Attendance at exercises is mandatory.

  • About use of AI

  • 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 as a calibration according to the Faculty's guidelines for examination markings.

  • Teaching hours

    Lectures: 26 hours. Exercises in computer lab: 26 hours.

  • Admission requirements

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