Adrienne Grêt-Regamey: Catalogue data in Autumn Semester 2023 |
| Name | Prof. Dr. Adrienne Grêt-Regamey |
| Name variants | Adrienne Gret Adrienne Grêt Adrienne Gret Regamey Adrienne Gret-Regamey |
| Field | Landscape and Environmental Planning |
| Address | Inst. f. Raum- u. Landschaftsentw. ETH Zürich, HIL H 51.3 Stefano-Franscini-Platz 5 8093 Zürich SWITZERLAND |
| Telephone | +41 44 633 29 57 |
| gret@ethz.ch | |
| URL | http://www.plus.ethz.ch |
| Department | Civil, Environmental and Geomatic Engineering |
| Relationship | Full Professor |
| Number | Title | ECTS | Hours | Lecturers | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 103-0313-00L | Spatial Planning and Landscape Development  | 5 credits | 4G | A. Grêt-Regamey, G. Debrunner, Y. M. Räth | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The lecture introduces into the main-features of spatial planning. Attended will be the subjects planning as a national responsibility, instruments of spatial planning, techniques for problem solving in spatial planning and the Swiss concept for national planning. The lecture is complemented with in-depth topics and international examples. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Die Studierenden kennen die Grundzüge der Raumplanung, ihre wichtigen Instrumente und Problemlösungsverfahren. Sie können das vermittelte theoretische Wissen direkt an konkreten, praxisorientierten Übungsaufgaben umsetzen. - Grundzüge der Raumplanung und ihre wichtigsten Instrumente kennenlernen - Erarbeiten der Fähigkeit, räumliche Probleme zu erkennen und Problemlösungsverfahren auf diese anzuwenden - Planung und Landmanagement als interaktiven Prozess kennenlernen und anwenden - Verstehen der mit Fläche und Boden verbundenen Potentiale, Nutzungen und Prozesse - Das vermittelte theoretische Wissen direkt an konkreten, praxisorientierten Fallbeispielen umsetzen können | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Die Vorlesung deckt die Grundlagen der (Schweizerischen) Raumplanung und Landschaftsentwicklung ab: - Was ist Raumplanung (Begriffe) - Prinzipien der Raumplanung - Die Raumplanung als staatliche Aufgabe - Raumordnungspolitik - Instrumente der Raumplanung auf den Planungsebenen (u.a. Sachpläne und Konzepte, Richtplanung, Nutzungsplanung, Sondernutzungsplanung, Landumlegungsverfahren) - Problemlösungsverfahren in der Raumplanung - systemtechnisches Vorgehen - Das schweizerische Raumordnungskonzept Der Schwerpunkt der Vorlesung liegt auf der Erläuterung der Raumplanung als Problemlösungsverfahren. Das dabei vermittelte theoretische Wissen wird direkt an einer konkreten, praxisorientierten Übungsaufgabe umgesetzt. Im Rahmen der Übung wird das Projektgebiet während einer Exkursion besucht. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Prof. Dr. W.A. Schmid et al. (2006, Stand 2017): Raumplanung GZ - Eine Einführung für Ingenieurstudierende. IRL-PLUS, ETHZ - Handouts of the lectures - Exercises Download: http://www.plus.ethz.ch/de/studium/vorlesungen/bsc/spatial_planning_and_landscape_development.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 103-0347-00L | Landscape Planning and Environmental Systems  | 3 credits | 2V | A. Grêt-Regamey | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | In the course, students learn about methods for the identification and measurement of landscape characteristics, as well as measures and policies for landscape planning. Landscape planning is put into the context of environmental systems (soil, water, air, climate, flora and fauna) and discussed with regard to socio-political questions of the future. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The aims of this course are: 1) To illustrate the concept of landscape planning, the economic relevance of landscape and nature in the context of the environmental systems (soil, water, air, climate, flora and fauna). 2) To show landscape planning as an integral information system for the coordination of different instruments by illustrating the aims, methods, instruments and their functions in landscape planning. 3) To show the importance of ecosystem services. 4) To learn basics about nature and landscape: Analysis and assessment of the complex interactions between landscape elements, effects of current and future land use (ecosystem goods and services, landscape functions). 5) To identify and measure the characteristics of landscape. 6) Learn how to use spatial data in landscape planning. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | In this course, the following topics are discussed: - Definition of the concept of landscape - Relevance of landscape planning - Landscape metrics - Landscape change - Methods, instruments and aims of landscape planning (policy) - Socio-political questions of the future - Environmental systems, ecological connectivity - Ecosystem services - Urban landscape services - Practice of landscape planning - Use of GIS in landscape planning | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | No script. The documentation, consisting of presentation slides are partly handed out and are provided for download on Moodle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | The contents of the course will be illustrated in the associated course 103-0347-01 U (Landscape Planning and Environmental Systems (GIS Exercises)) or in Project LAND within the Experimental and Computer Lab (for Environmental Engineers). A combination of courses is recommended. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 103-0347-01L | Landscape Planning and Environmental Systems (GIS Exercises) | 3 credits | 2U | A. Grêt-Regamey, C. Brouillet, M. Galleguillos Torres, N. Klein | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course content of the lecture Landscape Planning and Environmental Systems (103-0347-00 V) will be illustrated in practical GIS exercises (e.g. habitat modelling, land use change, ecosystem services, connectivity). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | - Practical application of theory from the lectures - Quantitative assessment and evaluation of landscape characteristics - Learning useful applications of GIS for landscape planning - Developing landscape planning measures for practical case studies | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | - Applications of GIS in landscape planning - Landscape analysis - Landscape structural metrics - Modelling habitats and land use change - Calculating urban ecosystem services - Ecological connectivity | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | A script and presentation slides for each exercise will be provided on Moodle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Will be named in the lecture. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Basic GIS skills are strongly recommended. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 103-0378-00L | Introduction to the Programming Language R | 3 credits | 2G | M. J. Van Strien, A. Grêt-Regamey | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | R 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | A 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Optional supplementary reading is the book: Venables, Smith & R Core Team (2021) An Introduction to R. This book can be downloaded for free from: https://cran.r-project.org/doc/manuals/r-release/R-intro.pdf. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | No prior knowledge of R or any other programming language is required for this course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 131-0001-00L | Module 1: Global Crises to Local Interventions | 2 credits | 7G | T. Luthe, A. Grêt-Regamey, D. Günther, N. Salliou, to be announced | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This learning module navigates the journey from global crises to local interventions by first emphasizing the significance of resilience in DRRS. It then explores global crises through diverse perspectives in the "Framing nested crises" submodule. The subsequent submodules focus on practical skills at the community level and the societal and individual root causes of crises. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The "From global crises to local interventions" module is designed to achieve several key learning objectives within the Designing Resilient Regenerative Systems (DRRS) context. Participants will gain a comprehensive understanding of resilience, appreciating its richness and diversity to maximize practical applications within DRRS. The module encourages a multiperspective analysis of global crises, exploring diverse viewpoints influenced by angles, interests, training, geographies, institutions, and worldviews. Emphasis is placed on developing practical skills at the community level, equipping participants to enhance local resilience and response capabilities within the framework of DRRS. This includes identifying and applying skills crucial for mitigating the impact of disasters and promoting community well-being. Furthermore, the module delves into the societal and individual root causes contributing to global crises within the paradigm of DRRS. Participants will learn from experts about strategies to understand and address these root causes, fostering effective intervention at both the societal and individual levels. Through all modules, the course integrates three domains of learning competencies—cognitive, behavioral, and social-mental—interconnected through the individual Quests of the learners. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Centered on the pivotal concept of resilience, the module facilitates a nuanced understanding of its richness and diversity for optimal application in addressing crises. Participants are guided through a multiperspective analysis of global crises, considering various viewpoints influenced by angles, interests, training, geographies, institutions, and worldviews. A significant focus is placed on practical skills development at the community level within the DRRS paradigm. Participants acquire the necessary tools to enhance local resilience and response capabilities, emphasizing mitigating the impact of disasters and fostering community well-being. The module delves into the root causes of global crises at both societal and individual levels, aligning with the principles of DRRS. Experts share insights on strategies to understand and address these root causes, fostering effective interventions that resonate with the DRRS approach. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | See Module 1.1 in MOOC#1 Worldviews - From Sustainability to Regeneration: https://www.edx.org/learn/ethics/eth-zurich-worldviews-from-sustainability-to-regeneration | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | See Module 1.1 in MOOC#1 Worldviews - From Sustainability to Regeneration: https://www.edx.org/learn/ethics/eth-zurich-worldviews-from-sustainability-to-regeneration | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | MOOC#1 Worldviews - From Sustainability to Regeneration is a pathway to CAS#1 Sustainability to Regeneration. To be accepted into the CAS, applicants must have completed the respective MOOC by the time the CAS starts. The content from the MOOC will be supplemented in the CAS by live virtual events with experts from all over the world. In addition, after the first virtual introductory introductory week, a real design excursion to the MonViso Design excursion to the MonViso Institute in Italy. This trip is obligatory. The final delivery of the CAS should demonstrate the scientific base of our work in evidence-based writing with a foundation in the peer-reviewed literature and graphical, visual, systems-mapping, and spatial ways of designerly expressions. As the main deliverable, participants must submit a framed graphical Quest synthesis process map consisting of two main parts: a graphical synthesis map (pdf format) and a framing text bracket that motivates, introduces, explains, discusses, and concludes the synthesis map. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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