In lectures and computer labs different tools for spatial (quantitative) and statistic analysis are presented and discussed. A successful use of these tools depends however not only on the tool itself, but also on the accessibility of relevant and reliable data, an adequate analysis of the output and a critical discussion of the results. Therefore it is important to prepare each analysis carefully and consider issues as scale, problem definition, time limitations, selection of tool(s), the (technical) limitations of the tool, input/output data (availability and quality), and anticipated results.
AG2130 Applied Urban and Regional Analysis 7.5 credits
Information per course offering
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Information for Spring 2025 Start 17 Mar 2025 programme students
- Course location
KTH Campus
- Duration
- 17 Mar 2025 - 2 Jun 2025
- Periods
- P4 (7.5 hp)
- Pace of study
50%
- Application code
60385
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
Places are not limited
- Target group
- No information inserted
- Planned modular schedule
- [object Object]
- Schedule
Contact
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus AG2130 (Spring 2024–)Content and learning outcomes
Course disposition
Course contents
In order to identify ongoing developments and future needs, planners need tools to analyze existing data. These analyses provide an input for the identification of development strategies and a basis for decision making. While technology improves, new applications for GIS and other analytical tools evolve. As a planner you need to have knowledge on what opportunities these tools to collect (geographical) information can offer and how they can provide an input in planning practice and research.
Intended learning outcomes
After completing the course, students should be able to
- to apply the basic functions in different tools for spatial (quantitative) and statistic analysis;
- to design and implement an analysis of a practical planning problem using e.g. GIS or statistical tools
- to present the outcome of different types of analyses making effectively use of different visualisation techniques
- reflect critically on the strengths and limitations of different methods of spatial and statistic analysis in planning practice
Literature and preparations
Specific prerequisites
In total 180 ECTS-credits, including 90 ECTS-credits within the subject architecture, urban and regional planning or environmental science or 60 ECTS-credits from the Master’s programme in Sustainable Urban Planning and Design.
English 6
Equipment
Literature
To be determined at the start of the course
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- LAB2 - Computer lab, 2.5 credits, grading scale: P, F
- LIT2 - Response Papers, 1.5 credits, grading scale: P, F
- PRO2 - Project, 3.5 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.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
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.