GMGI221 Automating GIS processes

Credits (ECTS):5

Course responsible:Håvard Wallin Aagesen

Campus / Online:Taught campus Ås

Teaching language:Norsk

Course frequency:Yearly

Nominal workload:125 hours

Teaching and exam period:The course is taught in the fall.

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.
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 40% of the final grade, and the project assignment amounts to 60%.
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 Department's guidelines for examination markings.
Mandatory activity
Exercises and project assignment
Teaching hours
Lectures: 26 hours. Exercises in computer lab: 26 hours.