Search result: Catalogue data in Spring Semester 2020

Geomatic Engineering Master Information
Major Courses
Major in Planning
NumberTitleTypeECTSHoursLecturers
103-0458-00LEconomical Land Use
Only for MSc Students or special approval by the lecturer.
W3 credits2GR. Nebel
AbstractThe lecture demonstrates current trends of land use, arguments for an economical handling of land and instruments as well as procedures to implement economical land use in practice. This is considered on different planning levels, especially on the regional level. The main focus is the introduction of a comprehensive settlement management in the light of current trends of land use.
ObjectiveStudents learn to understand backgrounds, basic principles, goals and approaches of appropriate and economical use of land as a scarce resource. They are able to summarise in a comprehensible way the core arguments for redevelopment before new development. Furthermore, students can illustrate how to implement economical land use in a differentiated and customised manner.
Content- settlement development and land use: facts, trends, causes and consequences
- redevelopment before new development: basic principles and strategic goals
- overviews of existing land reserves
- formal and informal instruments and procedures
- comprehensive settlement management: implementation on municipal, regional and national level
Lecture notesThe documents for the lecture are available on Moodle.
Prerequisites / NoticeEligible only for master students, otherwise a special permisson by the lecturer is required.
103-0318-02LGIS-Based 3D Landscape Visualization Restricted registration - show details
Limited number of participants.

Please send an email to the lecturer to make sure that places are still available.
W3 credits2GU. Wissen Hayek
AbstractConcepts, methods and techniques for 3D landscape visualization and their application in landscape and environmental planning. Practical application of a workflow for 3D landscape visualization. Reflection of relevant aspects such as the choice of viewpoints, the landscape sections, or the level of detail, and their effects on the perception of the visualized landscape.
ObjectiveThe main goals of this lab are (1) to know digital techniques for 3D landscape visualization, (2) to know different examples and application areas for GIS-based 3D landscape visualizations, (3) to establish software skills in 3D landscape visualization, and (4) to be able to explain principles of 3D landscape visualization, which are important for landscape and environmental planning situations, and to apply these for the evaluation or the planning of 3D landscape visualizations.
ContentThe lectures provide an introduction to the area of GIS-based 3D landscape visualization and on visualization principles. Examples of 3D landscape visualizations generated and applied in different projects are presented. The theoretical principles for 3D landscape visualization are further deepened in small exercises during the whole course. These exercises are organized in such a way, that a workflow for 3D landscape visualization can be reproduced. Thereby aspects such as the choice of viewpoints, the sections of a landscape, or the level of detail, and their effects on the perception of the visualized landscape are reflected.
Lecture notesHandouts of the slides used in the lectures will be made available for download.
Prerequisites / NoticeWill be specified in the course.
103-0338-00LProject Week in Landscape Development Information Restricted registration - show details
Number of participants limited to 24.
W5 credits9PS.‑E. Rabe, E. Celio, A. Grêt-Regamey
AbstractIn particular, the aspects measuring, understanding and assessing of landscape-relevant land-use, requirements and developments will be taught. Concerning the landscape development in a project area, aims will be developed and corresponding actions defined.
ObjectiveThe students are able to:
- recognize and undestand the history of land-use
- recognize and undestand the context of arrangement of a landscape
- assess a landscape in its entirety and in its single-elements
- understand and apply the concepts of the landscape approach
- prepare and provide substantiated actions
ContentThe course consists of
- four theoretical inputs from internal and external speakers
- a preliminary excursion to the project area
- two exercises for preparation
- the project week and the preparation of a report

Depending on the subject area to be processed (eg. water, landscape aesthetics, natural hazards, nature conservation), different methods are used.
This applies to both the methods of investigation of landscape-elements and characteristics as well as the methods for evaluation of landscape-elements and characteristics.

Subjects and methods are developed and defined in the preparation to be applied in the project week. Based on the assessments actions will be developed that are adapted to the definde question or problem in the light of a desirable development.
Lecture notes- Handouts
- Copies of selected literature

Download: Link
LiteratureWill be named in the course.
Prerequisites / NoticeRequirements are an interest in landscape-related issues and commitment to developing proposals for solutions.
Prerequisite: Knowledge and skills equivalent the course 103-0357-00 Umweltplanung
103-0428-02LSpatial Design and Argumentation in Planning
Only for MSc Students or special approval by the lecturer.
W6 credits4GM. Nollert, M. Koll-Schretzenmayr, T. Lannuzel
AbstractDesigning and presenting arguments are two essential components of acting in spatial planning. Spatial design as instrument for investigating and testing of possible solutions and options of action or, in addition, for finding central questions. Arguing, in order to be able to communicate suggested decisions or actions inside the planning process and to win relevant actors over those.
ObjectiveGoal of the lecture is to obtain the basic knowledge of designing and presenting argumentations in spatial planning. With reference on a practical case study typical characteristics and the connections between arguing and designing in spatial planning are worked out.
In terms of arguing the students should be enabled to substantiate their decisions with different techniques, in order to compile clearly understandable and convincing argumentations and successfully communicate them. This includes beside an adequate handling of different kinds of information coding (like texts, pictures and numbers), also dealing with uncertainties, which is a typical asset of the argumentation in spatial planning.
In terms of spatial design, the understanding of this specific and unconventional instrument is to be provided and to be trained on the basis of different cases. Beside the development of an „intuition/sensibility“ for designing in spatial planning and the ability to handle different scales (from national contexts down to the proofing of the principal possibilities for development on the scale of architectural design), the discernment of decisive criteria for the possible employment and the application of spatial design is also to be trained.
Lecture notesThe documents for the lecture can be found in Moodle
Prerequisites / NoticeSpatial Planning Design

Spatial Planning Design is used as a tool for exploration and testing. Overall goal is the obtainment of basic knowledge for general recommendations and specific strategies in the case of difficult and unclear tasks. However, it is not intended to create drafts for direct implementation in reality.

Even if current problems and questions occuring in the dimension of spatial planning might show some correlation, the spaces themselves, the diversity of urban patterns and interests widely differ. This is particularly the case in highly developed Europe. As soon as conventional solutions and standards fail in the case of difficult and vast questions, modern spatial planning operates by using the method of designing.

In contrast to the method of designing on the basis of a given programme, which is common in the fields of urban design and architecture, spatial planning is generally operating with comprehensive and open terms of reference. Thus, in order to achieve safe results, spatial planning uses all imaginable scopes and freedoms of research.

Not every case and every problem in spatial planning cause an examination by using the method of designing. In frequent cases difficulties not only arise in identifying the right scale of design but rather in selecting the appropriate informal procedures. Furthermore, scales are not necessarily the same as they are typically used in regional- and urban planning. The verification of the general ability to develop an area in the scale of architecture is possible as well.
701-1522-00LMulti-Criteria Decision Analysis Restricted registration - show details
Number of participants limited to 25.
W3 credits2GJ. Lienert
AbstractThis introduction to "Multi-Criteria Decision Analysis" (MCDA) combines prescriptive Decision Theory (MAVT, MAUT) with practical application and computer-based decision support systems. Aspects of descriptive Decision Theory (psychology) are introduced. Participants apply the theory to an environmental decision problem (group work).
ObjectiveThe main objective is to learn the theory of "Multi-Attribute Value Theory" (MAVT) and "Multi-Attribute Utility Theory" (MAUT) and apply it step-by-step using an environmental decision problem. The participants learn how to structure complex decision problems and break them down into manageable parts. An important aim is to integrate the goals and preferences of different decision makers. The participants will practice how to elicit subjective (personal) preferences from decision makers with structured interviews. They should have an understanding of people's limitations to decision-making, based on insights from descriptive Decision Theory. They will use formal computer-based tools to integrate "objective / scientific" data with "subjective / personal" preferences to find consensus solutions that are acceptable to different decision makers.
ContentGENERAL DESCRIPTION
Multi-Criteria Decision Analysis is an umbrella term for a set of methods to structure, formalize, and analyze complex decision problems involving multiple objectives (aims, criteria), many different alternatives (options, choices), and different actors which may have conflicting preferences. Uncertainty (e.g., of the future or of environmental data) adds to the complexity of environmental decisions. MCDA helps to make decision problems more transparent and guides decision makers into making rational choices. Today, MCDA-methods are being applied in many complex decision situations. This class is designed for participants interested in transdisciplinary approaches that help to better understand real-world decision problems and that contribute to finding sustainable solutions. The course focuses on "Multi-Attribute Value Theory" (MAVT) and "Multi-Attribute Utility Theory" (MAUT). It also gives a short introduction to behavioral Decision Theory, the psychological field of decision-making.

STRUCTURE
The course consists of a combination of lectures, exercises in the class, exercises in small groups, reading, and one mandatory exam. Some exercises are computer assisted, applying MCDA software. The participants will choose an environmental case study to work on in small groups throughout the semester. Additional reading from the textbook Eisenführ et al. (2010) is required.

GRADING
There will be one written examination at the end of the course that covers the important theory (50 % of final grade). The group work consists of two written reports (50 %).
Lecture notesNo script (see below)
LiteratureThe course is based on: Eisenführ, Franz; Weber, Martin; and Langer, Thomas (2010) Rational Decision Making. 1st edition, 447 p., Springer Verlag, ISBN 978-3-642-02850-2.

Additional reading material will be recommended during the course. Lecture slides will be made available for download.
Prerequisites / NoticeThe course requires some understanding of (basic) mathematics. The "formal" parts are not too complicated and we will guide students through the mathematical applications and use of software.

The course is limited to 25 participants (first come, first served).
103-0448-01LTransformation of Urban Landscapes
Only for masters students, otherwise a special permit of the lecturer is necessary.
W3 credits2GJ. Van Wezemael, A. Gonzalez Martinez
AbstractThe lecture course addresses the transformation of urban landscapes towards sustainable inward development. The course reconnects two largely separated complexity approaches in «spatial planning» and «urban sciences» as a basic framework to look at a number of spatial systems considering economic, political, and cultural factors. Focus lies on participation and interaction of students in groups.
Objective- Understand cities as complex adaptive systems
- Understand planning in a complex context and planning competitions as decision-making
- Seeing cities through big data and understand (Urban) Governance as self-organization
- Learn Design-Thinking methods for solving problems of inward development
- Practice presentation skills
- Practice argumentation and reflection skills by writing critiques
- Practice writing skills in a small project
- Practice teamwork
ContentStarting point and red thread of the lecture course is the transformation of urban landscapes as we can see for example across the Swiss Mittelland - but in fact also globally. The lecture course presents a theoretical foundation to see cities as complex systems. On this basis it addresses practical questions as well as the complex interplay of economic, political or spatial systems.

While cities and their planning were always complex the new era of globalization exposed and brought to the fore this complexity. It created a situation that the complexity of cities can no longer be ignored. The reason behind this is the networking of hitherto rather isolated places and systems across scales on the basis of Information and Communication Technologies. «Parts» of the world still look pretty much the same but we have networked them and made them strongly interdependent. This networking fuels processes of self-organization. In this view regions emerge from a multitude of relational networks of varying geographical reach and they display intrinsic timescales at which problems develop. In such a context, an increasing number of planning problems remain unaffected by either «command-and-control» approaches or instruments of spatial development that are one-sidedly infrastructure- or land-use orientated. In fact, they urge for novel, more open and more bottom-up assembling modes of governance and a «smart» focus on how space is actually used. Thus, in order to be effective, spatial planning and governance must be reconceptualised based on a complexity understanding of cities and regions, considering self-organizing and participatory approaches and the increasingly available wealth of data.
LiteratureA reader with original papers will be provided via the ILIAS system.
Prerequisites / NoticeOnly for masters students, otherwise a special permit of the lecturer is necessary.
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