Search result: Catalogue data in Spring Semester 2019
Science, Technology, and Policy Master | ||||||
Electives | ||||||
Number | Title | Type | ECTS | Hours | Lecturers | |
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851-0585-38L | Data Science in Techno-Socio-Economic Systems Number of participants limited to 80 This course is thought be for students in the 5th semester or above with quantitative skills and interests in modeling and computer simulations. Particularly suitable for students of D-INFK, D-ITET, D-MAVT, D-MTEC, D-PHYS | W | 3 credits | 2V | E. Pournaras, T. Guo, D. Helbing | |
Abstract | This course introduces how techno-socio-economic systems in our nowadays digital society can be better understood with techniques and tools of data science. Students shall learn the fundamentals of data science, machine learning, but also advanced distributed real-time data analytics in the Planetary Nervous System. Students shall deliver and present a seminar thesis at the end of the course. | |||||
Learning objective | The goal of this course is to qualify students with knowledge on data science as a way to understand complex techno-socio-economic systems in our nowadays digital societies. This course aims to make students capable of applying the most appropriate and effective techniques of data science under different application scenarios. The course aims to engage students in exciting state-of-the-art scientific and collaboration platforms such as the Planetary Nervous System. The course shall increase the awareness level of students about the challenges and open issues of data science in socio-technical domains such as privacy. Finally students have the opportunity to develop their writing, presentation and collaboration skills based on a seminar thesis they have to deliver and present at the end of the course | |||||
102-0488-00L | Water Resources Management | W | 3 credits | 2G | P. Burlando | |
Abstract | Modern engineering approach to problems of sustainable water resources, planning and management of water allocation requires the understanding of modelling techniques that allow to account for comprehensive water uses (thereby including ecological needs) and stakeholders needs, long-term analysis and optimization. The course presents the most relevant approaches to address these problems. | |||||
Learning objective | The course provides the essential knowledge and tools of water resources planning and management. Core of the course are the concepts of data analysis, simulation, optimization and reliability assessment in relation to water projects and sustainable water resources management. | |||||
Content | The course is organized in four parts. Part 1 is a general introduction to the purposes and aims of sustainable water resources management, problem understanding and tools identification. Part 2 recalls Time Series Analysis and Linear Stochastic Models. An introduction to Nonlinear Time Series Analysis and related techniques will then be made in order to broaden the vision of how determinism and stochasticity might sign hydrological and geophysical variables. Part 3 deals with the optimal allocation of water resources and introduces to several tools traditionally used in WRM, such as linear and dynamic programming. Special attention will be devoted to optimization (deterministic and stochastic) and compared to simulation techniques as design methods for allocation of water resources in complex and competitive systems, with focus on sustainability and stakeholders needs. Part 4 will introduce to basic indexes used in economical and reliability analyses, and will focus on multicriteria analysis methods as a tool to assess the reliability of water systems in relation to design alternatives. | |||||
Lecture notes | A copy of the lecture handouts will be available on the webpage of the course. Complementary documentation in the form of scientific and technical articles, as well as excerpts from books will be also made available. | |||||
Literature | A number of book chapters and paper articles will be listed and suggested to read. They will also be part of discussion during the oral examination. | |||||
Prerequisites / Notice | Suggested relevant courses: Hydrologie I (or a similar content course) and Wasserhaushalt (Teil "Wasserwirtschaft", 4. Sem. UmweltIng., or a similar content course) for those students not belonging to Environmental Engineering. | |||||
118-0112-00L | Participatory and Integrated Water Resources Planning Number of participants limited to 25. The course is complementary to "Water Resources Management" (102-0488-00L). | W | 3 credits | 2.2V | A. Castelletti | |
Abstract | The course develops basic knowledge and skills for modelling, planning and managing water resources systems in a balanced and sustainable way. The emphasis will be on the operational aspects of water management, including: introduction to participatory decision-making, modelling of the multiple stakes and socio-economic processes, introduction to dynamic and stochastic optimization approaches. | |||||
Learning objective | The course aims at illustrating the complex framework of participatory approach in the field of water resources projects, with particular focus on the modelling of the quantitative aspects of the combined dynamics of the physical and socio-economic processes. | |||||
Content | Lec 00. Course introduction. The world water resources. Water crisis and the concept of Participatory and Integrated Water Resources Management (PIWRM). Water trading. Lec 01. Rationalizing the decision-making process. From traditional water resources planning and management to PIWRM: rationalizing and supporting the decision-making process. The need for negotiations. Negotiation game. Outline of the Participatory and Integrated Planning procedure proposed as a guidance to the decision-making process using a real world case study. Lec 02. Cloosing the loop: how to plan the management. How to incorporate recurrent management decisions into a rational decision-making framework. From model based decision-making to decision support systems. Full-rationality and partial-rationality. Underlying example the Zambezi river system. Lec 03. Actions and evaluation criteria. Identification of the actions suitable to pursue the overall objective of the planning exercise. Type of actions and associated property. Embedding actions into models. Stakeholders, sectors and evaluation criteria: how stakeholders evaluate the planning alternatives. Criterion hierarchy and indicators: operationalize evaluation criteria. Lec 04. Criteria and indicators. Example of indicators. Validation of the indicators against the stakeholders. Numerical exercise. Underlying examples from Red River System (Vietnam), Tono dam (Japan), Googong reservoir (Australia), Lake Maggiore and Lake Como (Italy). Lec 05. Re-operating the Kafue reservoir system. Real world case study developed interactively with the students, to experience all the concepts provided in the previous lectures. Reading material will be assigned on 22.3 Lec 06. Models of a water system. The system analysis perspective on water resources modelling. Example of models of water system components (reservoir, diversion dam, rivers, users). Implications of cooperation and information sharing on the model formulation. Operational implications of model complexity. Case studies. Lec 07. Formulation of the planning/management problem. Why we need it. What do we need to formulate the problem: from the indicators to the objectives; time horizon; scenarios. Dealing with uncertainty. Problem formulation and classification. How do modelling choices affect the final solution (hidden subjectivity). Lec 08. Water resources optimal planning. The planning of water resources. Examples from real world problems at different scales (e.g. Egypt Water plan; Controlling salt intrusion in Nauru (Pacific Island); planning water quality remediation interventions in lakes and reservoirs (Googong reservoir, Australia)). Interactive lectures with students. Overview of the different approaches available to resolve the problem, from exact solution to heuristic. Lec 09. Planning the New Valley water system in Egypt. Real world case study developed interactively with the student, to experience all the concepts provided in the previous lectures. Lec 10. Planning in non stationary conditions: the Red River (Vietnam). Real world case study developed interactively with the student, to experience all the concepts provided in the previous lectures. | |||||
Lecture notes | Course lectures are almost fully covered by the following two textbooks accordingly to the indications provided at the end of each lecture: R. Soncini-Sessa, A. Castelletti, and E. Weber, 2007. Integrated and participatory water resources management. Theory. Elsevier, The Netherlands. R. Soncini-Sessa, F. Cellina, F. Pianosi, and E. Weber, 2007. Integrated and participatory water resources management. Practice. Elsevier, The Netherlands. | |||||
Literature | Additional readings: S.P. Simonovic, 2009. Managing water resources: Methods and tools for a systems approach, Earthscan, London. D.P. Loucks, E. van Beek, 2005. Water Resources Systems Planning and Management: An Introduction to Methods, Models and Applications, UNESCO, Paris. K.D.W. Nandalal, J. Bogardi, 2007. Dynamic Programming Based Operation of Reservoirs, Cambridge University Press, Cambridge. | |||||
Prerequisites / Notice | Lecture notes, slides and other material will be posted on the course web page the day before each lecture. | |||||
351-0778-00L | Discovering Management Entry level course in management for BSc, MSc and PHD students at all levels not belonging to D-MTEC. This course can be complemented with Discovering Management (Excercises) 351-0778-01L. | W | 3 credits | 3G | L. De Cuyper, M. Ambühl, S. Brusoni, B. Clarysse, E. Fleisch, V. Hoffmann, T. Netland, G. von Krogh, F. von Wangenheim | |
Abstract | Discovering Management offers an introduction to the field of business management and entrepreneurship for engineers and natural scientists. The module provides an overview of the principles of management, teaches knowledge about management that is highly complementary to the students' technical knowledge, and provides a basis for advancing the knowledge of the various subjects offered at D-MTEC. | |||||
Learning objective | The objective of this course is to introduce the students to the relevant topics of the management literature and give them a good introduction in entrepreneurship topics too. The course is a series of lectures on the topics of strategy, innovation, marketing, corporate social responsibility, and productions and operations management. These different lectures provide the theoretical and conceptual foundations of management. In addition, students are required to work in teams on a project. The purpose of this project is to analyse the innovative needs of a large multinational company and develop a business case for the company to grow. | |||||
Content | Discovering Management aims to broaden the students' understanding of the principles of business management, emphasizing the interdependence of various topics in the development and management of a firm. The lectures introduce students not only to topics relevant for managing large corporations, but also touch upon the different aspects of starting up your own venture. The lectures will be presented by the respective area specialists at D-MTEC. The course broadens the view and understanding of technology by linking it with its commercial applications and with society. The lectures are designed to introduce students to topics related to strategy, corporate innovation, corporate social responsibility, and business model innovation. Practical examples from industry will stimulate the students to critically assess these issues. | |||||
Prerequisites / Notice | Discovering Management is designed to suit the needs and expectations of Bachelor students at all levels as well as Master and PhD students not belonging to D-MTEC. By providing an overview of Business Management, this course is an ideal enrichment of the standard curriculum at ETH Zurich. No prior knowledge of business or economics is required to successfully complete this course. | |||||
351-0778-01L | Discovering Management (Exercises) Complementary exercises for the module Discovering Managment. Prerequisite: Participation and successful completion of the module Discovering Management (351-0778-00L) is mandatory. | W | 1 credit | 1U | B. Clarysse | |
Abstract | This course is offered complementary to the basis course 351-0778-00L, "Discovering Management". The course offers an additional exercise in the form of a project conducted in team. | |||||
Learning objective | This course is offered to complement the course 351-0778-00L. The course offers an additional exercise to the more theoretical and conceptual content of Discovering Management. While Discovering Management offers an introduction to various management topics, in this course, creative skills will be trained by the business game exercise. It is a participant-centered, team-based learning activity, which provides students with the opportunity to place themselves in the role of Chief Innovation Officer of a large multinational company. | |||||
Content | As the students learn more about the specific case and identify the challenge they are faced with, they will have to develop an innovative business case for this multinational corporation. Doing so, this exercise will provide an insight into the context of managerial problem-solving and corporate innovation, and enhance the students' appreciation for the complex tasks companies and managers deal with. The exercise presents a realistic model of a company and provides a valuable learning platform to integrate the increasingly important development of the skills and competences required to identify entrepreneurial opportunities, analyse the future business environment and successfully respond to it by taking systematic decisions, e.g. critical assessment of technological possibilities. | |||||
101-0588-01L | Re-/Source the Built Environment | W | 3 credits | 2S | G. Habert | |
Abstract | The course focuses on material choice and energy strategies to limit the environmental impact of construction sector. During the course, specific topics will be presented (construction technologies, environmental policies, social consequences of material use, etc.). The course aims to present sustainable options to tackle the global challenge we are facing and show that "it is not too late". | |||||
Learning objective | After the lecture series, the students are aware of the main challenges for the production and use of building materials. They know the different technologies/propositions available, and environmental consequence of a choice. They understand in which conditions/context one resource/technology will be more appropriate than another | |||||
Content | A general presentation of the global context allows to identify the objectives that as engineer, material scientist or architect needs to achieve to create a sustainable built environment. The course is then conducted as a serie of guest lectures focusing on one specific aspect to tackle this global challenge and show that "it is not too late". The lecture series is divided as follows: - General presentation - Notion of resource depletion, resilience, criticality, decoupling, etc. - Guest lectures covering different resources and proposing different option to build or maintain a sustainable built environment. | |||||
Lecture notes | For each lecture slides will be provided. | |||||
Prerequisites / Notice | The lecture series will be conducted in English and is aimed at students of master's programs, particularly the departments ARCH, BAUG, ITET, MAVT, MTEC and USYS. No lecture will be given during Seminar week. | |||||
869-0107-00L | Policy Impact Evaluation Number of participants limited to11. Only for MAS in Science, Technology and Policy and Science, Technology and Policy MSc. | W | 2 credits | 1G | P. M. Kuhn | |
Abstract | This seminar will look at a variety of evaluation designs, from randomized program evaluations through experimental evaluation methods to observational analysis, using a variety of research designs. Evaluating the effectiveness of public programs is important, since it can help to decide which program should be expanded and which ones should be scaled down or discontinued. | |||||
Learning objective | Program evaluation comprises a set of (statistical) tools designed to assess the causal impact of interventions to social systems, such as job training programs, on outcomes of interest, such as earnings or length of unemployment. We will look at a variety of evaluation designs, from randomized program evaluations through experimental evaluation methods to observational analysis, using a variety of research designs. Evaluating the effectiveness of public programs is important, since it can help us decide which program we should expand and which ones we should scale down or discontinue. The goal of this seminar is to introduce students to the fi of program evaluation and its statistical tools, and enable them to think about how programs should be developed, and become critical consumers of empirical evaluations of public programs. The two-day seminar consists of two parts: a series of lectures and exercises on randomized program evaluation on day 1 and a lecture and exercises on ex-post program evaluation on day 2. The are three lectures introducing students to the topic, key challenges (e.g., the fundamental problem of causal inference), and the various evaluation designs. For each of these lectures students are assigned introductory readings, which should be completed prior to attending the relevant lectures. The readings are very basic and introduce students to key concepts and challenges in a non-technical way to build intuition. The lectures will expand on those readings and move beyond the readings pretty quickly, introducing the key concepts in a more technical and rigorous manner. The lectures will also provide examples to illustrate the use of the various concepts. The exercises serve as practice, requiring students to apply the concepts of the lecture in developing evaluation designs for real-world policy programs from a variety of policy areas. The seminar targets 'mathematically inclined' master and doctoral students. Basic knowledge of statistical inference and regression analysis at the introductory level is required. The assigned readings and lectures will make use of some elementary calculus and statistical notation. The seminar will focus on evaluation design rather than analytical techniques, we will therefore not be performing any data analysis or use any specific statistical software. For students with limited past exposure to statistical inference and regression analysis, I recommend reading the following prior to attending the seminar: - Achen, Christopher J. (1982) Interpreting and Using Regression. The Little Green Books Series. London: Sage Publications Inc. - Stock, James and Mark Watson (2011) Introduction to Econometrics, Third Edition. London: Pearson Education, Part II. | |||||
Content | Lectures: The Fundamental Problem of Causal Inference Randomized Program Evaluations Ex-post Evaluations Student Exercises | |||||
118-0111-00L | Sustainability and Water Resources Number of participants limited to 16. Suitable for MSc and PhD students. Automatic admittance is given to students of MAS Sustainable Water Resources. All other registrations accepted until capacity is reached. | W | 3 credits | 2G | D. Molnar, P. Burlando | |
Abstract | The block course on Sustainability and Water Resources features invited experts from a range of disciplines, who present their experiences working with sustainability issues related to water resources. The students are exposed to many different perspectives, and learn how to critically evaluate sustainability issues with respect to water resources management. | |||||
Learning objective | The course provides the students with background information on sustainability in relation to water resources within an international and multidisciplinary framework. The lectures challenge the students to consider sustainability and the importance of water availability and water scarcity in a changing world, at the same time preparing them to face the challenges of the future, e.g. climate and land use change, increased water use and population growth. | |||||
Content | The course offers the students the opportunity to learn about sustainability and water resources in a multi-disciplinary fashion, with a focus on case studies from around the world. Selected topics include: Sustainability Issues in Water Resources, the EU Water Framework Directive, Mining in Latin America, Environmental Flows, and Water Quality Issues. Group exercises, which encourage debate and discussion, are an important component of the course. For more information, please visit Link | |||||
Prerequisites / Notice | For further information, contact the MAS coordinator, Darcy Molnar (darcy.molnar@ifu.baug.ethz.ch) | |||||
118-0113-00L | Water Governance: Challenges and Solutions Number of participants is limited to 16. Suitable for MSc and PhD Students. Automatic admittance is given to students of the MAS in Sustainable Water Resources. All other registrations are accepted until capacity is reached. | W | 1 credit | 2G | P. Burlando, D. Molnar | |
Abstract | The block course on "Water Governance: Challenges and Solutions" features invited experts with backgrounds in international relations, law, politics, and diplomacy. Through theoretical input and case studies, students learn about the realities of water conflicts and the intricacies of cooperation and diplomacy. | |||||
Learning objective | The course provides students with insights into the complex realities of addressing water conflicts with sustainable solutions that promote cooperation. | |||||
Content | The course offers students the opportunity to learn from experts who have worked on domestic and transboundary river basin issues, both in Europe and internationally. Through case studies and group exercises, students gain a deeper understanding of the complexities of water governance and current global challenges. Topics that will be addressed include stakeholder involvement, institutional legal frameworks, and solutions for cooperation. | |||||
Prerequisites / Notice | Course details at: Link For further information, contact the MAS coordinator, Darcy Molnar (darcy.molnar@ifu.baug.ethz.ch) | |||||
860-0024-00L | Digital Society: Ethical, Societal and Economic Challenges Number of participants is limited to 35 | W | 3 credits | 2V | D. Helbing, M. M. Dapp | |
Abstract | This seminar will address ethical challenges coming along with new digital technologies such as cloud computing, Big Data, artificial intelligence, cognitive computing, quantum computing, robots, drones, Internet of Things, virtual reality, blockchain technology, and more... | |||||
Learning objective | Participants shall learn to understand that any technology implies not only opportunities, but also risks, and that it is important to understand these well in order to minimize the risks and maximize the benefits. In some cases, it is highly non-trivial to identify and avoid undesired side effects of technologies. The seminar will sharpen the attention how to design technologies for values, also called value-sensitive design or ethically aligned design. | |||||
Literature | Will be provided on a complementary website of the course. Complementary literature should be searched and evaluated by the students themselves. | |||||
Prerequisites / Notice | To earn credit points, students will have to read the relevant literature on one of the above technologies and give a presentation about the ethical implications. Both, potential problems and possible solutions shall be carefully discussed. | |||||
869-0109-00L | Writing for Policy-Makers Number of participants limited to11. Only for MAS in Science, Technology and Policy and Science, Technology and Policy MSc. | W | 2 credits | 1G | M. Spillmann Six | |
Abstract | The course focuses on how the mass media and communication among scientists, other experts, policy-makers, other stakeholders, and the mass public functions. | |||||
Learning objective | Students learn how to communicate effectively with policy-makers and stakeholder in policy-making and policy-management processes. | |||||
869-0108-00L | Designing and Implementing Surveys Number of participants limited to11. Only for MAS in Science, Technology and Policy and Science, Technology and Policy MSc. | W | 2 credits | 1G | Q. Nguyen | |
Abstract | Academic researchers, researchers in the public and private sector, national policymakers and policymakers from international organizations are increasingly dealing with surveys. In designing and implementing a survey, the researcher takes important decisions that can have a profound effect on the conclusions we can draw from the results of the survey. Thus, central to the quality of a survey is t | |||||
Learning objective | After the course, participants are ready to apply the learned towards their own surveys, and are able to critically assess existing survey designs, survey documentation and survey-based empirical findings. | |||||
Content | This course covers the essentials of survey design and implementation and is divided into two parts. In the first – design – part, we will consider the state-of-the-art survey literature and the theoretical underpinnings of survey research. Design issues will include questionnaire construction and testing, sampling, question ordering and instrument length. In the second – implementation – part, we will address issues of methods of administration (paper-and-pencil, interviews, computer-based), survey programming, survey administration, interviewer training and participant recruitment. Course participants who are thinking about conducting a survey as part of a seminar paper/research project are encouraged to introduce their research design (draft) in the course. This course will emphasize hands-on experience in the design and implementation of surveys. | |||||
860-0022-00L | Complexity and Global Systems Science Number of participants limited to 64. Prerequisites: solid mathematical skills. Particularly suitable for students of D-ITET, D-MAVT and ISTP | W | 3 credits | 2V | D. Helbing, N. Antulov-Fantulin | |
Abstract | This course discusses complex techno-socio-economic systems, their counter-intuitive behaviors, and how their theoretical understanding empowers us to solve some long-standing problems that are currently bothering the world. | |||||
Learning objective | Participants should learn to get an overview of the state of the art in the field, to present it in a well understandable way to an interdisciplinary scientific audience, to develop models for open problems, to analyze them, and to defend their results in response to critical questions. In essence, participants should improve their scientific skills and learn to think scientifically about complex dynamical systems. | |||||
Content | This course starts with a discussion of the typical and often counter-intuitive features of complex dynamical systems such as self-organization, emergence, (sudden) phase transitions at "tipping points", multi-stability, systemic instability, deterministic chaos, and turbulence. It then discusses phenomena in networked systems such as feedback, side and cascade effects, and the problem of radical uncertainty. The course progresses by demonstrating the relevance of these properties for understanding societal and, at times, global-scale problems such as traffic jams, crowd disasters, breakdowns of cooperation, crime, conflict, social unrests, political revolutions, bubbles and crashes in financial markets, epidemic spreading, and/or "tragedies of the commons" such as environmental exploitation, overfishing, or climate change. Based on this understanding, the course points to possible ways of mitigating techno-socio-economic-environmental problems, and what data science may contribute to their solution. | |||||
Prerequisites / Notice | Mathematical skills can be helpful | |||||
869-0110-00L | Managing Large-Scale Risks Through Policy and Private Sector Measures Number of participants limited to11. Only for MAS in Science, Technology and Policy and Science, Technology and Policy MSc. | W | 2 credits | 1G | D. N. Bresch | |
Abstract | Participants learn about the key roles of public and private actors in dealing with large-scale risks, and arrangements such as public private partnerships (PPP) in managing risk. Participants gain insights into how and to what extent firms and industries (need to) consider and manage environmental risks. | |||||
Learning objective | Participants learn about the key roles of public and private actors in dealing with large-scale risks, and arrangements such as public private partnerships (PPP) in managing risk. Participants gain insights into how and to what extent firms and industries (need to) consider and manage environmental risks. Participants will broaden their understanding of the issue of climate change, which will be used as the illustrative example both to set the theoretical frame as well as for the practical exercises, like analyzing company reporting according to the recommendations of the task force for climate-related financial disclosure (TCFD). | |||||
Content | In the course module “Managing Large-Scale Risks Through Policy and Private Sector Measures”, participants learn about the key roles of public and private actors in dealing with large-scale risks. Participants gain insights into how and to what extent firms and industries (need to) consider and manage environmental risks. After a general introduction into both the topic and frameworks private actros are employing to deal with them, we will look into two real-world case studies - involving participants in some group work to simulate the elicitation of such a case in a negotiation setting between different stakeholders. The second day, Martin Weymann, Head Sustainability, Emerging & Political Risk Management, Director, Swiss Re, will join as a judge for the second negotiation round and share his views and experiences dealing with such cases on an almost daily basis. For the reminder of the second day, we will distill key insights from the cases negotiated and look into company reporting according to the recommendations of the task force for climate-related financial disclosure (TCFD). | |||||
051-0160-00L | Urban Design II Only for Architecture BSc, Programme Regulations 2011. | W | 1 credit | 2V | H. Klumpner | |
Abstract | The ‘Urban Stories’ lecture series introduces a city during each lecture. The city’s urban development is described through contemporary phenomena and is critically presented as strategies and tactics. The urban phenomenon we explore in this course show urban conditions, models and operational modes. | |||||
Learning objective | How can we read cities and recognise current trends and urban phenomena? The lectures series will produce a catalogue of operational urban tools as a series of critical case studies, and as basis for future practice. Urban Stories introduces a repertoire of urban design instruments to the students. This will empower them to read cities and apply these tools in the urban environment. The course will approach the topic employing analytical cases on different scales, geographies, in diverse socio-political and economical environments. With our collection of tools compiled in a 'toolbox', we aim to tell the fundamental story of contemporary urban development. This specific analysis offers insight and knowledge that helps students to make informed design decisions. The tools are grouped in thematic clusters, compared and interpreted. This approach sensibilities the students to understand how to operate in different local but also international contexts. | |||||
Content | Urban form cannot be reduced to the physical space. Cities are the result of social construction, under the influence of technologies, ecology, culture, the impact of experts and accidents. Urban un-concluded processes respond to political interests, economic pressure, cultural inclinations, along with the imagination of architects and urbanists and the informal powers at work in complex adaptive systems. Current urban phenomena are the result of an urban evolution. The facts stored in urban environments include contributions from its entire lifecycle. That is true for the physical environment, but also for non-physical aspects, the imaginary city that exists along with its potentials and problems and with the conflicts that have evolved over time. Knowledge and understanding along with a critical observation of the actions and policies are necessary to understand the diversity and instability present in the contemporary city and to understand how urban form evolved to its current state. How did cities develop into the cities we live in now? Which urban plans, instruments, visions, political decisions, economic reasonings, cultural inputs and social organisation have been used to operate in urban settlements in specific moments of change? We have chosen cities that are exemplary in illustrating how these instruments have been implemented and how they have shaped urban environments. We transcribe these instruments into urban operational tools that we have recognized and collected within existing tested cases in contemporary cities across the globe. This lecture series will introduce urban knowledge and the way it has introduced urban models and operational modes within different concrete realities, therefore shaping cities. Urban knowledge will be translated into operational tools, extracted from cities where they have been tested and become exemplary samples, most relevant for providing the understanding of how urban landscape has taken shape. The tools are clustered in twelve thematic clusters and three tool scales for better comparability and cross-reflection. Tool case studies are compiled into a toolbox, which we use as templates to read the city and to critically reflect upon it. The presented contents are meant to serve as inspiration for positioning in future professional life as well as to provide instruments for future design decisions. | |||||
Lecture notes | The learning material, available via https://moodle-app2.let.ethz.ch/ is comprised of: - Toolbox 'Reader' with introduction to the lecture course and tool summaries - Weekly exercise tasks - Infographics with basic information of each city - Quiz question for each tool - Additional reading material The compiled learning material can be downloaded from the student-server: afp://brillembourg-klumpner-server.ethz.ch | |||||
Literature | Please see 'Skript'. | |||||
Prerequisites / Notice | "Semesterkurs" (semester course) students from other departments or students taking this lecture as GESS / Studium Generale course as well as exchange students must submit a research paper, which will be subject to the performance assessment: "Bestanden" (pass) or "Nicht bestanden" (failed) as the performance assessment type, for "Urban Design I: Urban Stories" taken as a semester course, is categorized as "unbenotete Semesterleistung" (ungraded semester performance). |
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