Faglig innhold

Knowledge about geographical information systems (GIS) as important tools for urban/regional spatial planning. Introduction to, and training with GIS applications, such as ArcGIS, ArcGIS Pro or QGIS.

Læringsutbytte

Knowledge: The functionality and operation of geographic information systems (GIS). Basic geographical data and reference systems, cartography and cartographic methods, relevant to the needs and scope of urban/regional planning. Data structures, data models and geographic / spatial analysis techniques that are used for examination and presentation of the plan base, plan presentation and impact analysis. Data sources and their use in analysis and planning.

Skills: Facilitation of geographical data in a GIS, preparation for analysis or design purposes. Basic design and editing work using GIS tools. The use of 2D and 3D for presentation of plan base and results in an understandable manner. Use of GIS functions for plan-oriented analysis of localization or impacts of plan implementation.

General competence: to make use of acquired knowledge and skills solving a variety of tasks related to geographic analysis and spatial planning.

Læringsformer og aktiviteter

Lectures and training workshops.The course will be taught as a concentrated module, covering full days over 2 weeks in the beginning of the spring semester.

Spesielle vilkår

Anbefalte forkunnskaper

It is recommended that the candidate is familiar with Microsoft Excel, with file and folder administration in Windows, and with WinZip, 7zip or similar software to "zip" files and folders.

Forkunnskapskrav

Minimum Bachelor's degree or its equivalent.

Kursmateriell

Textbook will be announced before term, in addition an exercise compendium will be distributed.

It is advised, but not required, to be able to use private PC for the exercises. The exercises will be relatively heavy tasks in GIS software (ArcGIS Pro, QGIS), thus the following requirements specification is recommended:

Processor: Intel minimum i5, preferably i7 or xeon. AMD Ryzen 5, 7 or 9.

64 bit operating system (Windows 10)

At least 8 GB RAM, preferably 16 GB or over

Storage capacity SSD (preferred) or HD - min. 500 GB

Dedicated video card of at least 4 GB, Nvidia or AMD

Students who do not have a PC that follows this specification will be allowed to use local data labs.

Studiepoengreduksjon