Suchergebnis: Katalogdaten im Herbstsemester 2021

Raumentwicklung und Infrastruktursysteme Master Information
Master-Studium (Studienreglement 2021)
Pflichtfächer
NummerTitelTypECTSUmfangDozierende
101-0467-01LTransport Systems
Only for master students, otherwise a special permisson by the lecturers is required.
O6 KP4GK. W. Axhausen, A. Kouvelas, Y. Zhu
KurzbeschreibungHistory, impact and principles of the design and operation of
transport systems
LernzielIntroduction of the basic principles of the design and operation of
transport systems (road, rail, air) and of the essential pathways of their
impacts (investment, generalised costs, accessibilities, external effects), referring to relatively constant, and factors with substantial future uncertainty, in the past and expected evolution of transport systems.
InhaltTransport systems and land use; network design; fundamental model of mobility behaviour; costs and benefits of mobility; transport history

Classification of public transport systems; Characteristics of rail systems, bus systems, cable cars and funiculars, unconventional systems; introduction to logistics; fundamentals of rail freight transports; freight transport systems; intermodal transportation

Network layout and its impact on road traffic. Traffic control systems for urban and inter-urban areas. Fundamentals of road safety and infrastructure maintenance.
SkriptLecturer notes and slides as well as hints to further literature will be given during the course.
Voraussetzungen / BesonderesObligatory lecture for students of the first semester of MSc Spatial development and Infrastructure Systems.
103-0317-00LIntroduction to Spatial Development and Transformation
Nur für Master-Studierende, ansonsten ist eine Spezialbewilligung des Dozierenden notwendig.
O3 KP2GM. Nollert, D. Kaufmann
KurzbeschreibungIn der Lehrveranstaltung werden die wichtigsten theoretischen, materiellen und methodischen Grundlagen für raumbedeutsames Handeln und Entscheiden vermittelt. Anhand aktueller und zukünftiger Herausforderungen der Raumentwicklung in der Schweiz und in Europas werden zentrale Aufgaben und Möglichkeiten zu deren Behandlung vermittelt.
LernzielRaumentwicklung beschäftigt sich mit der Gestaltung unseres Lebensraumes. Um zwischen den unterschiedlichen Ansprüche, Interessen und Vorhaben verschiedener Akteure vermitteln zu können, bedarf es einer vorausschauenden, aktionsorientierten und auf Robustheit bedachten Planung. Sie ist - im Sinne einer nachhaltigen Raumentwicklung - dem haushälterischen Umgang mit Ressourcen verpflichtet, insbesondere der nicht vermehrbaren Ressource Boden.
In der Vorlesung wird das dafür notwendige grundlegende Fachwissen eingeführt und orientiert sich an folgenden Leitthemen:
– Innenentwicklung und Herausforderungen räumlicher Transformation
– Planungsansätze und die politische Steuerung der Raumentwicklung
– Zusammenspiel formeller und informeller Verfahren und Prozesse über verschiedene Massstäbe räumlicher Entwicklung hinweg
– Methoden aktionsorientierter Planung in von Unsicherheit geprägten Situationen
– Partizipation in Raumplanungsfragen
– Integrierte Raum- und Infrastrukturentwicklung

Die Studierenden sind durch die Belegung der Vorlesung in der Lage, massstabsübergreifende, komplexe Aufgaben der Raumentwicklung und Transformation zu erkennen und ihr theoretisches, methodisches sowie fachliches Wissen zu deren Klärung einsetzen.In der Vorlesung wird das dafür notwendige grundlegende Fachwissen eingeführt und orientiert sich an folgenden Leitthemen:
– Innenentwicklung und Herausforderungen räumlicher Transformation
– Zusammenspiel formeller und informeller Verfahren und Prozesse über verschiedene Mass-stäbe räumlicher Entwicklung hinweg
– Methoden aktionsorientierter Planung in von Unsicherheit geprägten Situationen
– Integrierte Raum- und Infrastrukturentwicklung
Die Studierenden sind durch die Belegung der Vorlesung in der Lage, massstabsübergreifende, komplexe Aufgaben der Raumentwicklung und Transformation zu erkennen und ihr methodi-sches sowie fachliches Wissen zu deren Klärung einsetzen.
Inhalt- Planungsansätze und politische Organisation in der Schweiz
- Raumbedeutsame Aufgaben
- Kennzahlen und Schlüsselziffern
- Treiber der Raumentwicklung
- Steuerung der Raumentwicklung I: Politik
- Steuerung der Raumentwicklung II: Formelle und informelle Instrumente
- Organisation der Raumentwicklung I: Governance
- Organisation der Raumentwicklung II: Prozesse und Organisation
- Methoden der Raumplanung I
- Methoden in der Raumplanung II
- Planung in komplexen Situationen
- Partizipation in der Raumentwicklung
- Gegenwärtige und zukünftige Kernaufgaben der Raumentwicklung
SkriptWeitere Informationen und Unterlagen zur Vorlesung werden auf den Internetseiten des IRL/STL bereitgestellt
KompetenzenKompetenzen
Fachspezifische KompetenzenKonzepte und Theoriengeprüft
Verfahren und Technologiengeprüft
Methodenspezifische KompetenzenAnalytische Kompetenzengeprüft
Entscheidungsfindunggeprüft
Problemlösunggeprüft
Projektmanagementgefördert
Soziale KompetenzenKooperation und Teamarbeitgefördert
Persönliche KompetenzenKreatives Denkengeprüft
Kritisches Denkengeprüft
Selbststeuerung und Selbstmanagement gefördert
103-0347-00LLandscape Planning and Environmental Systems Belegung eingeschränkt - Details anzeigen O3 KP2VA. Grêt-Regamey
KurzbeschreibungIm Kurs werden die Methoden zur Erfassung und Messung
der Landschaftseigenschaften, sowie Massnahmen und Umsetzung in der Landschaftsplanung vermittelt. Die Landschaftsplanung wird in den Kontext der Umweltsysteme (Boden, Wasser, Luft, Klima, Pflanzen und Tiere) gestellt und hinsichtlich gesellschaftspolitischer Zukunftsfragen diskutiert.
LernzielZiele der Vorlesung sind:
1) Der Begriff Landschaftsplanung, die ökonomische Bedeutung von Landschaft und Natur im Kontext der Umweltsysteme (Boden, Wasser, Luft, Klima, Pflanzen und Tiere) erläutern.
2) Die Landschaftsplanung als umfassendes Informationssystem zur Koordination verschiedener Instrumente aufzeigen, indem die Ziele, Methoden, die Instrumente und deren Funktion in der Landschaftsplanung erläutert werden.
3) Die Leistungen von Ökosystemen verdeutlichen.
4) Die Grundlageninformationen über Natur und Landschaft aufzeigen: Analyse und Bewertung des komplexen Wirkungsgefüges aller Landschaftsfaktoren, Auswirkungen vorhandener und absehbaren Raumnutzungen (Naturgüter und Landschaftsfunktionen).
5) Die Erfassung und Messung der Eigenschaften der Landschaft.
6) Zweckmässiger Einsatz von GIS für die Landschaftsplanung kennen lernen.
InhaltIn dieser Vorlesung werden folgende Themen behandelt:
- Definition Landschaft, Landschaftsbegriff
- Lanschaftsstrukturmasse
- Landschaftswandel
- Landschaftsplanung
- Methoden, Instrumente und Ziele in der Landschaftsplanung (Politik)
- Gesellschaftspolitische Zukunftsfragen
- Umweltsysteme, ökologische Vernetzung
- ökosystemleistungen
- Urbane Landschaftsdienstleistungen
- Praxis der Landschaftsplanung
- Einsatz von GIS in der Landschaftsplanung
SkriptKein Skript.
Die Unterlagen, bestehend aus Präsentationsunterlagen der einzelnen Referate werden teilweise abgegeben und stehen auf Moodle zum Download bereit.
Voraussetzungen / BesonderesDie Inhalte der Vorlesung werden in der zugehörigen Lehrveranstaltung 103-0347-01 U (Landscape Planning and Environmental Systems (GIS Exercises)) verdeutlicht. Eine entsprechende Kombination der Lehrveranstaltungen wird empfohlen.
KompetenzenKompetenzen
Fachspezifische KompetenzenKonzepte und Theoriengeprüft
Verfahren und Technologiengeprüft
Methodenspezifische KompetenzenAnalytische Kompetenzengeprüft
Entscheidungsfindunggeprüft
Medien und digitale Technologiengeprüft
Problemlösunggeprüft
Projektmanagementgeprüft
Soziale KompetenzenKommunikationgeprüft
Kooperation und Teamarbeitgefördert
Kundenorientierunggefördert
Menschenführung und Verantwortunggefördert
Selbstdarstellung und soziale Einflussnahmegefördert
Sensibilität für Vielfalt gefördert
Verhandlunggefördert
Persönliche KompetenzenAnpassung und Flexibilitätgefördert
Kreatives Denkengeprüft
Kritisches Denkengeprüft
Integrität und Arbeitsethikgefördert
Selbstbewusstsein und Selbstreflexion gefördert
Selbststeuerung und Selbstmanagement gefördert
103-0377-10LBasics of RE&IS Belegung eingeschränkt - Details anzeigen
Nur für Raumentwicklung und Infrastruktursysteme MSc.
O3 KP2GK. W. Axhausen, B. T. Adey, A. Grêt-Regamey, C. Sailer
KurzbeschreibungThe course Basics of RE&IS provides essential basic knowledge for the Master's degree program in Spatial Development & Infrastructure Systems and is divided into the three main topics of technical-scientific working, writing & presenting. The students deepen and apply the learned knowledge in the context of three performance elements and one ungraded semester performance.
Lernziel- Students will be able to identify, name, and be able to define the content taught.
- The students can assess, discuss and explain the necessity, significance and application of the standards in scientific work.
- Students will be able to apply the content, implement it in different examples and use it to solve the exercises and the semester assignment.
- With the techniques learned in the course, students will be able to analyze and differentiate scientific sources and apply them in their work in a structured way.
- The knowledge learned will help students to be able to assess, decide, evaluate and critically evaluate in the context of the semester assignment.
-Students are able to systematically compare and present their results in an argumentative manner.
-Students are able to produce their results in collaboration with their group and are able to develop, formulate and design a scientific and technical report to complete the assignment.
-The students are able to present their results in an engaging presentation together with their project group and use attractive and formally correct visualizations, maps or diagrams for this purpose.
-The students thus develop a common understanding with regard to their methodological knowledge and can henceforth work scientifically at an appropriate level.
InhaltStudents will learn the basics of scientific work and practice their skills within the framework of three performance elements as well as an ungraded semester work, which will be worked out in groups of two to three students.

In the first half of the semester, students will learn the theoretical basics and apply and understand these in the context of the exercises (=performance elements) in groups of maximum of two. The final ungraded semester exercise in the second part of the course, students will work in groups of maximum two on an assignment, which they will document and communicate in the form of a written report and a final presentation at the end of the course.

-Exercise 1: Citations & Referencing 20%
-Exercise 2: Searching, Reading and Summarizing 20%
-Exercise 3: Maps, Graphs & Visualizations 20%
-Exercise 4: Review 20%
-Presentation of review 20%

Students will be supervised by at least three assistants and one professor throughout the course. The main course lead changes periodically between the following RE&IS chairs: Infrastructure Management (IM), Transportation Systems (TS), Traffic Engineering (SVT), Transport Planning (VPL), Spatial Development and Urban Policy (SPUR), Planning of Landscape and Urban Systems (PLUS) and Spatial Transformation Laboratories (STL).
SkriptAll documents relevant for the course (slides, literature, further links, etc.) are provided centrally via the moddle platform.
LiteraturAmerican Psychological Association (APA) (2010) Publication Manual of the American Psychological Association, 6th edition, APA, Washington, D.C.
Axhausen, K.W. (2016) Style Guide for Student Dissertations, IVT, ETH Zürich, Zürich (available as download under learning materials)
Backhaus, N. and R. Tuor (2008): Leitfaden für wissenschaftliches Arbeiten, 7. überarbeitete und ergänzte Auflage. Schriftenreihe Humangeographie 18, Geographisches Institut der Universität Zürich, Zürich.
ZürichChapman, M. and C. Wykes (1996) Plain Figures, HM Stationary Office, London.
ETH (2017) Citation etiquette: How to handle the intellectual property of others, ETH, ETH Zürich, Zürich (last retrieved 29.11.2017)
Modern Language Association of America (MLA) (2016) MLA Handbook, 8th edition, MLA, New York.
Monmonier, M. (1991) How to lie with maps, University of Chicago Press, Chicago.
Tufte, E. R. (2001) The Visual Display of Quantitative Information, Graphics Press USA
Wilkinson, L. (1999) The Grammar of Graphics, Springer, Berlin.
101-0509-10LNetwork Infrastructure 1 Belegung eingeschränkt - Details anzeigen
Nur für Raumentwicklung und Infrastruktursysteme MSc.
O3 KP2GB. T. Adey, C. Martani
KurzbeschreibungSpatial planners ensure our built environment optimally meets our future needs. This course explains how spatial planners can evaluate proposed modifications to network infrastructure when there is substantial future uncertainty with respect to requirements, and how to develop implementation plans taking into consideration asset life cycles.
LernzielSpatial planners ensure our built environment optimally meets our future needs. This is challenging, as the built environment is a large and complex system, which interacts extensively with the natural environment. Additionally, there is considerable uncertainty with respect to the expectations of the built environment in the future, due to the uncertain environment in which we live, e.g. changing technologies and the changing climate. It is in the face of this complexity and uncertainty that spatial planners need to propose potential improvements and defend them convincingly to a large and diverse set of stakeholders.

The objective of this course is to provide spatial planners with an introduction to two essential tools in this regard. The first tool is a methodology to systematically take into consideration the future uncertainty in infrastructure requirements when proposing changes to the built environment. This involves the identification of key uncertainties, modelling their effect on infrastructure requirements and assessing how changes in future needs and the environment may affect future decisions. The second tool is a methodology to systematically estimate the life cycles of infrastructure assets. This methodology can be used together with the state of the existing infrastructure assets to develop optimal implementation plans.

More specifically, upon completion of the course students will understand how:
• to identify and quantify the service being provided by the built environment
• to construct an objective function to be used in the evaluation of proposed modifications
to estimate changing societal needs and their potential effect on required infrastructure
• to develop concepts for flexible/robust infrastructure alongside traditional infrastructure
• to simulate future scenarios to evaluate the costs and effects on the service provided over time by infrastructure
• to estimate the service provided by existing infrastructure now and in the future
• to determine optimal maintenance strategies for infrastructure
• to convert them into optimal intervention programs, which can be used to build strong arguments as to when system modifications should be implemented.
InhaltThe course consists of 9 lectures, 2 projects and 5 help sections. The two hour weekly lecture period is used as follows:
1 Planning infrastructure interventions – This lecture provides an introduction to the course and why it is useful in helping spatial planners propose and evaluate modifications to the built environment. The requirements for successful completion of the course are discussed and the two projects are introduced.
2 Service – Arguments for modifying the built environment are built on meeting the future needs of stakeholders. This week we present how to identify, quantify and value the service provided by the built environment. The measures of service, along with intervention costs are used to construct an objective function to be used in the evaluation of proposed modifications.
3 Changing needs – Trying to modify the built environment to meet future needs, requires estimating them. This week we discuss how to estimate them and their potential effect on required infrastructure.
4 Robust and flexible infrastructure – In the face of large amounts of future uncertainty it is useful to have either robust infrastructure, i.e. infrastructure that meets a large range of possible future needs, or flexible infrastructure, i.e. infrastructure that can be easily modified to meet different possible future needs. This week we discuss the concepts of robustness and flexibility and demonstrate their roles in maximizing the net-benefit of infrastructure.
5 Evaluating robust and flexible infrastructure – Robust and flexible infrastructure sometimes comes with increased costs. Whether or not the costs are worth it depends on a myriad of factors. This week we present a methodology that helps you develop robust and flexible infrastructure and evaluate their costs and benefits over time.
6 Simulating the uncertain future – As a key aspect to evaluating robust and flexible infrastructure is simulating what might happen in the future, this week, we explain how use Monte Carlo simulations and conduct an in class exercise so that you have an enhanced understanding of how it is done.
7 Help sessions 7-9 – We use the lecture periods to answer any questions you might have on project 1.
10 Existing infrastructure – Deciding how to modify infrastructure does not only require thinking about how to meet future needs. It also requires thinking about how the existing infrastructure is likely to provide service in the future. This week, we discuss the connection between provided service and the state of the infrastructure and use a common methodology to predict their evolution over time.
11 Maintenance strategies – It is useful to know the optimal maintenance intervention strategies for infrastructure assets when considering how to modify infrastructure to accommodate future needs, as it is easier to justify expenditures when a maintenance intervention is planned than immediately afterwards, when it is in a like new state. This week we explain how optimal intervention strategies are estimated.
12 Maintenance programs – As planning periods approach, exact decisions need to be made as to which interventions will be executed, taking into consideration network level constraints, such as budgets. This week we demonstrate how the state of assets together with the optimal maintenance strategies and network level constraints can be combined to determine optimal maintenance programs. These programs are used to optimally integrate both maintenance and modification interventions into one intervention program.
13 Help sessions 13 and 14 – We use the lecture periods to answer any questions you might have on project 2.

The course uses a combination of qualitative and quantitative approaches. The quantitative analysis required in the project requires at least the use of Excel. Some students, however, prefer to use Python or R.
Skript• The lecture materials consist of handouts, the slides, and example calculations in Excel.
• The lecture materials will be distributed via Moodle two days before each lecture.
LiteraturAppropriate literature will be handed out when required via Moodle.
Voraussetzungen / BesonderesThis course has no prerequisites.
KompetenzenKompetenzen
Fachspezifische KompetenzenKonzepte und Theoriengeprüft
Verfahren und Technologiengeprüft
Methodenspezifische KompetenzenAnalytische Kompetenzengeprüft
Entscheidungsfindunggeprüft
Problemlösunggeprüft
Soziale KompetenzenKooperation und Teamarbeitgeprüft
Persönliche KompetenzenKritisches Denkengeprüft
103-0378-00LIntroduction to the Programming Language R Belegung eingeschränkt - Details anzeigen O3 KP2GM. J. Van Strien, A. Grêt-Regamey
KurzbeschreibungR is one of the most popular programming language in science and practice for data analysis, modelling and visualisation. In this course, you will learn the basics of R and some common applications of R, such as making plots, regression analysis and working with spatial data. The weekly computer labs start with a short lecture followed by exercises that have to be handed in to pass the course.
LernzielThe overall objective of this course is to provide an introduction to the programming language R and to build confidence to apply R in other courses. More specifically, the objectives are:
- Understand how to import and export data, and how to work with the most important types of R-objects (e.g. vectors, data frames, matrices and lists).
- Learn how to create meaningful and visually attractive graphics and apply this knowledge to several datasets.
- Learn how to apply several types of important functions (e.g. for- and while-loops, if-else statements, data manipulation).
- Understand descriptive statistics and regression analysis and apply this knowledge to analyse several datasets.
- Understand the possibilities of analysing and plotting spatial data.
- Learn how to write own functions.
InhaltThe course has a strong focus on “learning by doing”. During the weekly computer lab sessions, students will be given an introduction to the programming language R. Each lab session will start with a short introductory lecture, after which students work through the script and complete the exercises. During the lab sessions, the lecturers will be available to answer individual questions. The main topics that will be covered in the lab sessions are:
- importing and exporting data
- types of R-objects
- data scraping
- plotting data
- descriptive statistics
- data manipulation
- conditionals and loops
- regression analysis
- plotting and analysing spatial data
- writing own functions

In the 7th and 14th week of the course, students have the time to finish the exercises that should be handed in at the end of those weeks.
SkriptA script with theory, examples and exercises will be handed out at the beginning of the course. Data for the exercises will be made available via Moodle.
LiteraturOptional supplementary reading is the book: Venables, Smith & R Core Team (2021) An Introduction to R. This book can be downloaded for free from: Link.
Voraussetzungen / BesonderesNo prior knowledge of R or any other programming language is required for this course.
KompetenzenKompetenzen
Fachspezifische KompetenzenKonzepte und Theoriengefördert
Verfahren und Technologiengeprüft
Methodenspezifische KompetenzenAnalytische Kompetenzengeprüft
Entscheidungsfindunggefördert
Medien und digitale Technologiengefördert
Problemlösunggeprüft
Projektmanagementgefördert
Soziale KompetenzenKommunikationgefördert
Kooperation und Teamarbeitgefördert
Kundenorientierunggefördert
Menschenführung und Verantwortunggefördert
Selbstdarstellung und soziale Einflussnahmegefördert
Sensibilität für Vielfalt gefördert
Verhandlunggefördert
Persönliche KompetenzenAnpassung und Flexibilitätgefördert
Kreatives Denkengeprüft
Kritisches Denkengeprüft
Integrität und Arbeitsethikgeprüft
Selbstbewusstsein und Selbstreflexion gefördert
Selbststeuerung und Selbstmanagement gefördert
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