Course code GMDK300

GMDK300 Digital Cartography

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Showing course contents for the educational year 2016 - 2017 .

Course responsible: Håvard Tveite
Teachers: Terje Midtbø
ECTS credits: 10
Faculty: Faculty of Science and Technology
Teaching language: NO
(NO=norsk, EN=Engelsk)
Teaching exam periods:
This course starts in Autumn parallel. This course has teaching/evaluation in Autumn parallel, .
Course frequency: Annually
First time: 2003H
Course contents:
Introduction, cartographical communication, basic cartographical methods, information theory, visualization of geographic information in digital media, animations, selected topics on spatial data structures, network algorithms, topological relations, modelling of geographical information with sharp and fussy sets, representation and visualisation of digital terrain models, cartographical generalisation.
Learning outcome:
The students shall acquire: - The competence needed to decide whether a cartographical representation conveys the information in the data material it is based on in a suitable way, considering its use and the possible user groups. - The competence needed to decide whether digital terrain models are implemented in a computer in an effective way. - The competence needed to decide whether geographical information systems contain sufficiently advanced algorithms for cartographical generalisation and communication when viewed in connection with the relevant applications of the information system. The students shall understand the principles for cartographical communication, visualisation and design, mathematical modelling of terrain surfaces, representation of maps in a computer. The candidate shall be able to evaluate suitable visualization techniques for different digitale media. In addition, the candidate is to understand the mathematical basis for modelling and visualising geographical information with fussy transitions. The student is to master the normal methods for cartographical representation of geographical information such as thematic maps and relief maps . In addition, the student should be able to describe algorithms for the establishment, visualisation and generalisation of digital terrain models at a pseudocode level. The student should be able to design and describe algorithms for cartographical representation at a pseudocode level. Visualisation of geographical information means the perspectives that reality is seen from. This is where the ethical sides of the subject become apparent.
Learning activities:
Lectures, seminars and independent work.
Teaching support:
Compendiums and articles.
It is assumed that students have basic knowledge in mathematics and informatics.
Recommended prerequisites:
Courses in algorithms and data structures.
Mandatory activity:

Seminars on cartographic generalisation.


Written examination: 3.5 hours.
Nominal workload:
300 hours.
Entrance requirements:
Special requirements in Science
Type of course:
Lectures: 35 hours. Seminars: 5 hours. Individual exercise work: 30 hours.
Minimum 5 students
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¿s exams as a calibration according to the Department's guidelines for examination markings.
Allowed examination aids: Calculator handed out, other aids as specified
Examination details: One written exam: A - E / Ikke bestått