Programplaner og emneplaner - Student
SMUA4600 Geographical Information Systems Emneplan
- Engelsk emnenavn
- Geographical Information Systems
- Studieprogram
-
Master’s Programme in Civil EngineeringMaster's Degree Programme in Transport and Urban Planning
- Omfang
- 10.0 stp.
- Studieår
- 2025/2026
- Programplan
- Emnehistorikk
-
Innledning
Geographic Information Systems (GIS) is a system of hardware, software, and procedures designed to support the capture, management, manipulation, analysis, modeling and display of spatially referenced data for solving complex planning and management problems. GIS applications use both spatial information (maps) and databases to perform analytical studies.
This course, including both lectures and practices, will cover the fundamental theories and methods of GIS. A series of seminars will enable the students to make practical use of GIS with hands-on experience.
In this course, the students will learn to edit, organize and manipulate spatial data in meaningful ways to solve spatial problems, using ESRI ArcGIS software and different open-source alternatives (QGIS and R).
GIS technology has broad applications in natural and social sciences, humanities, environmental studies, engineering, and management. Examples include: Urban and Regional Planning, Community and Economic Planning and Development, Housing Studies, Transit and Transportation Issues, Land Use, Historic and Archeological Studies, Agriculture and Forestry, Wildlife Habitat Study, Crime Analysis and Policing, Emergency Management and Public Works Utilities, Census and Demographic Studies, Public Health, Contagious Disease Monitoring, and Business uses including Marketing and Advertising. This course will introduce a few selected cases of GIS application in different disciplines.
Anbefalte forkunnskaper
Benedek György Plosz
Læringsutbytte
Upon successful completion of the course, the student should display the following:
Knowledge:
The student has:
- knowledge of the main properties of road construction components
- deep understanding of life cycle assessment and life cycle cost of roads
- in-depth knowledge about the principles of construction, maintenance and rehabilitation of flexible pavements
Skills:
The student is capable of :
- applying theoretical and practical knowledge in pavement design
- applying management techniques to improve the life cycle and reduce costs
- understanding the road construction materials and how they are affected by the environment
- assessing key performance indicators for various pavements to determine maintenance and rehabilitation options
General competence:
The student is able to:
- perform sustainable material choices for the different pavement layers
- critically evaluate the road performance specifications and transport asset management
- apply advanced concepts and theories to evaluate pavement design options and management
Arbeids- og undervisningsformer
Lectures and assignments.
Digital lectures will be recorded, and the material will be made available to students on CANVAS.
Arbeidskrav og obligatoriske aktiviteter
The teaching will consist of a combination of:
- Lectures & discussions
- Independent studies including video recordings and online exercises
- Coursework assignments
- Practical use of tools and software
- Field excursions.
Vurdering og eksamen
Individual written examination under supervision of 3 hours.
The exam have 2 part. Part 1 is related to "Pavement Design" and Part 2 is related to "Pavement Rehabilitation"
Examination results can be appealed.
In the event of a postponed exam, an oral exam can be used instead. Examination results cannot then be appealed.
Hjelpemidler ved eksamen
A calculator that cannot be used to communicate with others and Excel will be available during the exam.
Vurderingsuttrykk
Much of the work in students´ scientific or practical work both during their studies and later in their professional life will require a good understanding of research methods and analysis tools and techniques. This course will provide the knowledge and skills necessary for planning and conducting engineering research, for processing data and for analysing results, with special focus upon the most common statistical techniques and data-driven computational techniques as some of the most common tools used in these areas.
Sensorordning
Graded scale A-F
Emneansvarlig
Berthe Dongmo-Engeland