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| Title |
GIS and Visualisation
|
| Semester |
F2026
|
| Master programme in |
Nordic Urban Planning Studies
|
| Type of activity |
Course |
| Mandatory or elective |
Mandatory |
| Teaching language |
English
|
| Study regulation |
Read about the Master Programme and find the Study Regulations at ruc.dk |
| REGISTRATION AND STUDY ADMINISTRATIVE | |
| Registration |
You register for activities through stads selvbetjening during the announced registration period, which you can see on the Study administration homepage. When registering for courses, please be aware of the potential conflicts and overlaps between course and exam time and dates. The planning of course activities at Roskilde University is based on the recommended study programmes, which should not overlap. However, if you choose optional courses and/or study plans that goes beyond the recommended study programmes, an overlap of lectures or exam dates may occur depending on which courses you choose. |
| Number of participants |
|
| ECTS |
5
|
| Responsible for the activity | |
| Head of study |
Tatiana Fogelman (fogelman@ruc.dk)
|
| Teachers |
|
| Study administration |
IMT Registration & Exams (imt-exams@ruc.dk)
|
| Exam code(s) |
U60327
|
| ACADEMIC CONTENT | |
| Overall objective |
The course aims to give students the necessary knowledge, skills and competencies to collect, analyse and disseminate spatial data in both study and work contexts. This includes the ability to translate policy formulated visions to concrete operations. Students should be able to reflect critically to the use of spatial data analysis and their relevance to specific planning issues and problems. |
| Detailed description of content |
|
| Course material and Reading list |
Readings for each session are provided on Moodle before the start of the course. |
| Overall plan and expected work effort |
The proposed study intensity for a student in this activity: 135 hours: • Lecture (10 * 2h ) : 20h - Preparation for lecture (10 * 4h ) : 40h • Workshop after lectures (10 * 2h) : 20h • Giving feedback (Peer grading 3 * 2h) : 6h • Exam (49h) : 49h |
| Format |
The activities take place at campus |
| Evaluation and feedback |
Evaluation is via an anonymous online survey distributed to all participants. The course will also be discussed with participants in the final session and reviewed at the NUPS Education Committee with input from student representative. |
| Programme |
|
| ASSESSMENT | |
| Overall learning outcomes |
By the end of this course, students should be able to:
|
| Prerequisites |
|
| Form of examination |
Individual written take-home assignment
The character limit of the assignment is: maximum 12,000 characters, including spaces. The character limit includes the cover, table of contents, bibliography, figures and other illustrations, but exclude any appendices. The duration of the take-home assignment is 7 days and may include weekends and public holidays. Assessment: 7-point grading scale. |
| Form of Re-examination |
Samme som ordinær eksamen / same form as ordinary exam
|
| Type of examination in special cases |
|
| Examination and assessment criteria (implemented) |
The individual take-home exam will be based on the case of the semester and continue the work of the exercises in the course. Assessment criteria It will be assessed to which degree the student demonstrates: • The ability to deconstruct solutions to spatial problems into relevant spatial operations based on the specified case • The ability do perform and document relevant spatial operations • The ability to make a critical assessment of the use of spatial technologies in relation to the specified case • The ability design relevant visualizations the specified case and target audience • The ability to use GIS to produce visualizations relevant the specified case and target audience And whether the exam fulfills all formal requirements. The use of GAI in the exam In this course, generative AI tools (GAI) are allowed in the work on the exam if their use is declared. You must clearly indicate how you have used generative artificial intelligence (GAI). This can, for example, be included as part of a methodology section or as a brief statement at the end of your exam paper. This means that you must describe how you have used GAI, for example, for preparatory work on the assignment, to ask questions, search and process information, receive feedback and critique on your text, perform proofreading, or improve language and readability. It is important that you actively consider your choice of tools in this way, as it is part of the entire creation process of the assignment and thus part of your scientific method and academic communication. The use of any specific text that is GAI-generated requires citation, just like the use of any other sources from which direct quotes are taken. In the library's guide, you can see more about how to cite AI and how you can declare your use of GAI. The use of GAI must always be within the framework of Roskilde University's guidelines for using GAI. |
| Exam code(s) | |
| Last changed | 18/11/2025 |
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