The course gives knowledge and experience in theory and practice of geographic information systems (GIS) – a set of computer tools to handle spatial (georeferenced) data. During the course the students will get familiar with the raster and vector view of the world and practice data visualization and analysis tasks applied to real environmental datasets. The course comprises collection of field data using GPS, data input and conversion, data visualization and statistics, data quality and integration, georeferencing, Remote Sensing data, multispectral classification, image enhancement and analysis, data interpolation.
AE2503 Environmental Data 7.5 credits

Information per course offering
Choose semester and course offering to see current information and more about the course, such as course syllabus, study period, and application information.
Information for Autumn 2025 Start 25 Aug 2025 programme students
- Course location
KTH Campus
- Duration
- 25 Aug 2025 - 24 Oct 2025
- Periods
- P1 (7.5 hp)
- Pace of study
50%
- Application code
50205
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
Min: 20
- Target group
- No information inserted
- Planned modular schedule
- [object Object]
- Schedule
- Schedule is not published
Contact
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus AE2503 (Autumn 2021–)Content and learning outcomes
Course contents
Intended learning outcomes
After the course the students should be able to:
• Describe the way geographical information systems (GIS) are built up and operate.
• Compare and evaluate data collection methods and input techniques.
• Interpret remote sensing data and describe related physical phenomena.
• Characterize different types of spatial data using visualization and statistics.
• Choose and justify appropriate data processing and analysis approaches according to the characteristics of data and intended analysis outcome.
• Build models comprising sequences of GIS operations, and perform and evaluate sensitivity analysis.
• Interpret and relate the GIS analysis outcomes to source data quality, discuss errors and uncertainty and suggest ways of improving the result.
• Design a GIS case study to solve a specific task.
• Document and communicate the results of a GIS study.
Literature and preparations
Specific prerequisites
Bachelor's degree or at least 150 ECTS credits in the field of Civil Engineering, Environmental Engineering, or another subject with clear relevance to the course.
English language proficiency equivalent to (the Swedish upper secondary school) English course B/6.
Literature
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- DAT1 - Computer Assignment, 3.0 credits, grading scale: P, F
- LEX1 - Continuous Assessment, 4.5 credits, grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.