103-0417-02L Methodology of Planning Research and Practice
| Semester | Autumn Semester 2020 |
| Lecturers | R. Streit, T. Hug, A. Peric Momcilovic |
| Periodicity | yearly recurring course |
| Language of instruction | German |
| Comment | Only for master students, otherwise a special permisson by the lecturer is required. |
Courses
| Number | Title | Hours | Lecturers | ||||
|---|---|---|---|---|---|---|---|
| 103-0417-02 G | Methoden der Planung in Forschung und Praxis | 2 hrs |
| R. Streit, T. Hug, A. Peric Momcilovic |
Catalogue data
| Abstract | This course deals with scientific and applied methods and the ways of thinking that are useful in planning practice as well as in scientific research. Students are offered interdisciplinary knowledge from planning practice and research, behavioural economics and social sciences. New perspectives on planning are opened up, which can lead to better results in future projects and research. |
| Learning objective | Keeping the general aim of exploring the basic methodologies in spatial planning research and practice, the specific course learning objectives are as follows: - to address complex real-world spatial problems in adequate ways - to know relevant theories and maxims that are subject to specific methods of problem solving - to identify key questions and key concepts in contemporary planning research - to select appropriate research methods to properly address the research questions In practical terms, students: - learn to deal with uncertainties and estimate quantities - improve their ability to take decisions based on incomplete data and information - are informed about different (qualitative and quantitative) methods and techniques for spatial research - learn about different types of research (theoretical, empirical, action-oriented, qualitative, quantitative) - get skilled for writing simple research essays - are urged to question their own knowledge and challenge the course of action taken in planning processes |
| Content | The course is based on the following questions: How do we deal with complex issues in planning? - Forms of knowledge, half-knowledge and not knowing - Occurrence and explanation patterns for irrational behaviour - Spatial research and planning practice - Planning maxims - Mapping complex topics in research questions How do we generate knowledge about complex issues? - Methods for scientific data generation - Applied handling of quantities and probabilities - Estimating despite uncertainties - Opportunities of digitisation in planning (Participation, BigData) How do we react to complex questions in planning? - Methods of scientific data analysis - Making decisions despite incomplete information - Dealing with robustness and fragility More specifically, the lectures focus on the following topics (NB: Some content units will be presented in English, they are marked with *asterisk below) - (Half-) knowledge/behaviour/irrationalities - Initial situation: Solving complex problems - Forms of knowledge, knowing of not knowing something, not knowing of not knowing something - Behavioural patterns, occurrence and explanation patterns for irrational behaviour - Methods for solving complex tasks in planning practice - Spatial research and planning practice - connections, differences, overlaps - Challenges in the solution of complex tasks: System delimitation, interdisciplinarity, retrospective vs. prospective approach (descriptive vs. action-oriented, "reflected scenario building") - Planning maxims - *Methodology in spatial research - *Research design - *Research questions (types of research questions; research questions, hypotheses and theories); justification of research question - Data generation methods (interviews and questionnaires, ethnography and observation, documents, official statistics) - Dealing with quantities, estimations, anchor effect - Importance of scales and key figures in planning - Estimation methods - Danger of the anchor effect - Digitization in planning - New data sources and sizes - Opportunities and challenges through digitisation in planning - Data analysis methods (quantitative and qualitative data; quantitative analysis of survey data; qualitative analysis - content analysis, discourse analysis, case study, comparative research) - *Research ethics - Decisions based on incomplete information - Dealing with complex systems/roughness - *Role of science in planning - the perspective of both research and practice |
| Lecture notes | Learning materials: available online (Moodle) before corresponding lecture. |
| Literature | • Farthing, S. (2015). Research Design in Urban Planning: A Student’s Guide. London: Sage. • Schönwandt, W. (2008). Planning in Crisis. London: Ashgate. |
Performance assessment
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| ECTS credits | 3 credits |
| Examiners | R. Streit, T. Hug, A. Peric Momcilovic |
| Type | session examination |
| Language of examination | German |
| Repetition | The performance assessment is offered every session. Repetition possible without re-enrolling for the course unit. |
| Mode of examination | oral 30 minutes |
| Additional information on mode of examination | • Auswahl eines Projekts, welches nach Einschätzung der Studierenden (zumindest in Teilen) fehlgeschlagen ist • Analyse, was zum Scheitern des Projekts beigetragen hat: Denkfehler, falsche Modelle, nicht zutreffende Theorien, unpassende Methoden etc. • Vorgehen: mit wissenschaftlichen Methoden research design erstellen, auswählte Methoden durchführen. Das obligatorische Leistungselement wird mit 10% an die Schlussnote angerechnet und muss nicht für sich alleine bestanden werden. |
| This information can be updated until the beginning of the semester; information on the examination timetable is binding. | |
Learning materials
| No public learning materials available. | |
| Only public learning materials are listed. |
Groups
| No information on groups available. |
Restrictions
| There are no additional restrictions for the registration. |
