Suchergebnis: Katalogdaten im Herbstsemester 2024
Science, Technology, and Policy Master  | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
 Naturwissenschaftlich-technische Ergänzung | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Städte, Infrastruktur und Planung | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 701-1453-00L | Ecological Assessment and Evaluation | W | 3 KP | 3G | F. Knaus | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course provides methods and tools for ecological evaluations dealing with nature conservation or landscape planning. It covers census methods, ecological criteria, indicators, indices and critically appraises objectivity and accuracy of the available methods, tools and procedures. Birds and plants are used as main example guiding through different case studies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will be able to: 1) critically consider biological data books and local, regional, and national inventories; 2) evaluate the validity of ecological criteria used in decision making processes; 3) critically appraise the handling of ecological data and criteria used in the process of evaluation 4) perform an ecological evaluation project from the field survey up to the descision making and planning. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Powerpoint slides are available on the moodle page. Additional documents are handed out as copies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Basic literature and references are listed on the webpage. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | The course structure changes between lecture parts, seminars and discussions. The didactic atmosphere is intended as working group. Suggested prerequisites for attending this course are skills and knowledge equivalent to those taught in the following ETH courses: - Pflanzen- und Vegetationsökologie - Systematische Botanik - Raum- und Regionalentwicklung - Naturschutz und Naturschutzbiologie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 363-1047-00L | Urban Systems and Transportation | W | 3 KP | 2G | M. Köthenbürger, G. Loumeau | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course is an introduction to urban and regional economics. It focuses on the formation and development of urban systems, and highlight how transport infrastructure investments can affect the location, size and composition of such systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The main objective of this course is to provide students with some basic tools to analyze the fundamental economic forces at play in urban systems (i.e., agglomeration and congestion forces), and the role of transport networks in shaping the structure of these systems. Why do urban areas grow or decline? How do transport networks affect the location of individuals and firms? Does the location of a firm determine its productivity? Can transport infrastructure investments reduce economic disparities? These are some of the questions that students should be able to answer after having completed the course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The course is organized in four parts. I start with the key observation that economic activity (both in terms of population density and productivity) is unevenly distributed in space. For instance, the share of the population living in urban centers is increasing globally, from 16% in 1900 and 50% in 2000 to about 68% by the year 2050 (UN, World Economic Prospects, 2014). The goal of the first part is then to understand the economic forces at play behind these trends, looking at the effects within and across urban areas. I will also discuss how natural or man-made geographical characteristics (e.g., rivers, mountains, borders, etc.) affect the development of such urban systems. In the second part, I discuss the planning and pricing of transport networks, moving from simple local models to more complex transport models at a global scale. The key aspects include: the first and second best road pricing, the public provision of transport networks and the demographic effects of transport networks. In the third part, I combine the previous two parts and analyze the interaction between urban systems and transportation. Thereby, the main focus is to understand the economic mechanisms that can lead to a general equilibrium of all actors involved. However, as the study of the historical development of urban systems and transport networks provides interesting insights, I will discuss how their interaction in the past shapes today’s economic geography. Finally, I broaden the scope of the course and explore related topics. There will be a particular emphasis on the relation between urban systems and fiscal federalism as well as environmental policies. Both aspects are important determinants of the contemporary developments of urban systems, and as such deserve our attention. In general, this class focuses on the latest research developments in urban and regional economics, though it does not require prior knowledge in this field. It pays particular attention to economic approaches, which are based on theoretical frameworks with strong micro-foundations and allow for precise policy recommendations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Course slides will be made available to students prior to each class. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Course slides will be made available to students. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 101-0509-00L | Infrastructure Management 1: Process | W | 6 KP | 2G | B. T. Adey | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Infrastructure management is the process that ensures infrastructure provides desired service over time. This course provides an overview of the process and insight into some of the most important parts, i.e., defining service, justifying interventions, monitoring the infrastructure system, and ensuring a well function infrastructure management organisation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The objective of this course is to provide an overview of the infrastructure management process. The high-level process can be used as a starting point to ensure that infrastructure management is done professionally, efficiently and effectively. This process can be used to help improve the specific infrastructure management processes in the organisations. More specifically upon completion of the course, students had their first experience with • defining the service to be provided by infrastructure, • developing and evaluating asset strategies, and converting them into programs / project portfolios • establishing a monitoring program for an infrastructure system, and • establishing basic rules and principles to ensure an infrastructure management organisation is running well. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The weekly lectures are structured as follows: 1 Introduction: An introduction to infrastructure management and the project. 2 Service: Determination of what service you are trying to provide with an infrastructure network is important in justifying the interventions you think are required and ensuring that investment decisions are aligned throughout an infrastructure management organisation. This lecture introduces the concept of serve and connects it to measurable indicators. 3 Help session 1: This session provides time for your group to ask questions as you define the service you want your infrastructure network to provide 4 Presentation 1: 4 groups will present their ideas on how they want their networks to provide service 5 Interventions: Justifying the interventions you want to execute to ensure you continue to provide the defined service requires you to model deterioration, determining economically justifiable strategies and explain which interventions will be postponed if you can’t do all you would like. This lecture is focused on explaining the main principles behind each of these concepts. 6 Help session 2: This session provides time for your group to ask questions as you justify the interventions you want to execute on your infrastructure network over time and explain what you will postpone if you cannot do all of them. 7 Presentation 2: 4 groups will present how they have justified interventions and how they have selected the ones they would like to postpone if required 8 Monitoring: To ensure you the infrastructure network is providing what you expect you need to monitor its performance and how projects are being done. This lecture is focused on the principles to ensure a monitoring system is set up that ensure that the infrastructure system is providing the expected service. 9 Help session 3: This session provides time for your group to ask questions on how to establish the monitoring systems for your infrastructure networks. 10 Presentation 3: 4 groups will present how they intended to monitor their systems and projects. 11 Organisation: Managing infrastructure only works well with great teams of people with great processes. This lecture focuses on the principles of ensuring a well function organisation and well-functioning processes. 12 Help session 4: This session provides time for your group to ask questions on how to ensure well-functioning organisations and well-functioning processes. 13 Presentation 4: 4 groups will present how they intended to ensure well-functioning organisations and well-functioning processes. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | - The lecture materials consist of handouts and the slides. - The lecture materials will be distributed via Moodle by the beginning of each lecture. - The questions to be discussed in the discussion session will be distributed by the end of the day on the Monday before the discussion session. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Appropriate literature will be handed out when required via Moodle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | This course has no prerequisites. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 103-0347-01L | Landscape Planning and Environmental Systems (GIS Exercises)  | W | 3 KP | 2U | A. Grêt-Regamey, C. Brouillet, N. Klein, I. Nicholson Thomas | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Im Kurs werden die Inhalte der Vorlesung Landschaftsplanung und Umweltsysteme (103-0347-00 V) verdeutlicht. Die verschiedenen Aspekte (z.B. Habitatmodellierung, ökosystemleistungen, Landnutzungsänderung, Vernetzung) werden in einzelnen GIS Übungen praktisch erarbeitet. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | - Praktische Anwendung der theoretischen Grundlagen aus der Vorlesung - Quantitative Erfassung und Bewertung der Eigenschaften der Landschaft durchführen - Zweckmässiger Einsatz von GIS für die Landschaftsplanung kennen - Anhand von Fallbeispielen Massnahmen der Landschaftsplanung erarbeiten | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | - Einsatz von GIS in der Landschaftsplanung - Landschaftsanalyse - Landschaftsstrukturmasse - Modellierung von Habitaten und Landnutzungsänderungen - Berechnung urbaner Landschaftsdienstleistungen - ökologische Vernetzung | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Skripte und Präsentationsunterlagen für jede Übung werden auf Moodle zur Verfügung gestellt. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Wird in der Veranstaltung genannt. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | GIS-Grundkenntisse sind von Vorteil. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 103-0347-00L | Landscape Planning and Environmental Systems | W | 3 KP | 2V | A. Grêt-Regamey | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Im 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Ziele 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | In 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Kein Skript. Die Unterlagen, bestehend aus Präsentationsunterlagen der einzelnen Referate werden teilweise abgegeben und stehen auf Moodle zum Download bereit. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Die 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 101-0427-01L | Public Transport Design and Operations | W | 6 KP | 4G | F. Corman | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course aims at analyzing, designing, improving public transport systems, as part of the overall transport system. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Public transport is a key driver for making our cities more livable, clean and accessible, providing safe, and sustainable travel options for millions of people around the globe. Proper planning of public transport system also ensures that the system is competitive in terms of speed and cost. Public transport is a crucial asset, whose social, economic and environmental benefits extend beyond those who use it regularly; it reduces the amount of cars and road infrastructure in cities; reduces injuries and fatalities associated to car accidents, and gives transport accessibility to very large demographic groups. Goal of the class is to understand the main characteristics and differences of public transport networks. Their various performance criteria based on various perspective and stakeholders. The most relevant decision making problems in a planning tactical and operational point of view At the end of this course, students can critically analyze existing networks of public transport, their design and use; consider and substantiate possible improvements to existing networks of public transport and the management of those networks; optimize the use of resources in public transport. General structure: general introduction of transport, modes, technologies, system design and line planning for different situations, mathematical models for design and line planning timetabling and tactical planning, and related mathematical approaches operations, and quantitative support to operational problems, evaluation of public transport systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Basics for line transport systems and networks Passenger/Supply requirements for line operations Objectives of system and network planning, from different perspectives and users, design dilemmas Conceptual concepts for passenger transport: long-distance, urban transport, regional, local transport Planning process, from demand evaluation to line planning to timetables to operations Matching demand and modes Line planning techniques Timetabling principles Allocation of resources Management of operations Measures of realized operations Improvements of existing services | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture slides are provided. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Ceder, Avi: Public Transit Planning and Operation, CRC Press, 2015, ISBN 978-1466563919 (English) Holzapfel, Helmut: Urbanismus und Verkehr – Bausteine für Architekten, Stadt- und Verkehrsplaner, Vieweg+Teubner, Wiesbaden 2012, ISBN 978-3-8348-1950-5 (Deutsch) Hull, Angela: Transport Matters – Integrated approaches to planning city-regions, Routledge / Taylor & Francis Group, London / New York 2011, ISBN 978-0-415-48818-4 (English) Vuchic, Vukan R.: Urban Transit – Operations, Planning, and Economics, John Wiley & Sons, Hoboken / New Jersey 2005, ISBN 0-471-63265-1 (English) Walker, Jarrett: Human Transit – How clearer thinking about public transit can enrich our communities and our lives, ISLAND PRESS, Washington / Covelo / London 2012, ISBN 978-1-59726-971-1 (English) White, Peter: Public Transport - Its Planning, Management and Operation, 5th edition, Routledge, London / New York 2009, ISBN 978-0415445306 (English) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 103-0317-00L | Spatial Planning and Development Nur für Master-Studierende, ansonsten ist eine Spezialbewilligung des Dozierenden notwendig. | W | 3 KP | 2G | D. Kaufmann, A. Kuitenbrouwer | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course deals with theoretical, methodological and practical foundations around the understanding and production of urban space. It discusses theoretical planning frameworks, and tasks of spatial planning at various scales, addresses current and future challenges of spatial development and reviews approaches for a sustainable development in Switzerland and beyond. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The overall aim of the course is to raise students’ awareness and curiosity about the aspects that guide and shape our environment. Through lectures, readings, discussions, and exercises, the course seeks to achieve this goal by accumulating crucial notions from both theoretical and practice-based examples, and applying such knowledge into tasks of spatial planning. At the end of this course, students should feel empowered to critically engage with the teaching topic from a variety of approaches. By taking up the lecture, the students should be able to to analyse, interpret and reflect complex cross-scale tasks of spatial development and transformation, and to use their theoretical, methodical and professional knowledge to tackle them. You as students will... ... assess present and future core challenges of spatial planning and development. ... discuss the role of spatial planning and development in shaping our living environment. ... differentiate the levels, scales and tasks of spatial planning instruments and processes. … reflect on theoretical concepts and pratical examples of decision-making of spatial tasks. ... identify and apply spatially relevant principles and systems for action-oriented planning and decision-making. ... acquire theoretical, methodological, practical know-how to examine, clarify, and solve tasks on spatial development | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Spatial development as a discipline deals with the development, (trans)formation, and arrangement of our urban environment. We simultaneously perceive and contribute to its transformation, making space the result of manifold intended and unintended changes. To mediate between different demands, interests and interventions of multiple actors, a forward-looking, evidence-based, and action-oriented planning is necessary. As guidance for future action, (spatial) planning has to be committed to the sustainable handling as well as just allocation of resources, in particular of the non-replicable resource land. The course focuses on both theoretical concepts and practice-oriented approaches to gain knowledge and be equipped to address current issues in spatial planning and development. This is mirrored in the course’s structure made of both of lectures and exercises. The lecture series introduces necessary key concepts and covers the following main topics: - Drivers of spatial development, inward development, core tasks and current challenges for (spatial) planners. - Interplay of formal and informal planning instruments across scales and actors. - Differentiation urban typologies, their characteristics and challenges - Types of spatial analysis and key figures - Planning approaches and the (political) steering of spatial development. - Types of processes and participation in spatial development. - Approaches for planning complex urban situations - Concepts for sustainable development The exercises provide a framework for practical application of the learned theoretical concepts of spatial planning to real-life situations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | A course will be set up on Moodle for the provision of lectures and documents, to upload group deliverables and to ask questions in a discussion Forum. All documents provided are exclusively available for use within this course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 052-0707-00L | Urban Design III | W | 2 KP | 2V | H. Klumpner, F. T. Salva Rocha Franco | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Students are introduced to a narrative of 'Urban Stories' through a series of three tools driven by social, governance, and environmental transformations in today's urbanization processes. Each lecture explores one city's spatial and organizational ingenuity born out of a particular place's realities, allowing students to transfer these inventions into a catalog of conceptual tools. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | How can students of architecture become active agents of change? What does it take to go beyond a building's scale, making design-relevant decisions to the city rather than a single client? How can we design in cities with a lack of land, tax base, risk, and resilience, understanding that Zurich is the exception and these other cities are the rule? How can we discover, set rather than follow trends and understand existing urban phenomena activating them in a design process? The lecture series produces a growing catalog of operational urban tools across the globe, considering Governance, Social, and Environmental realities. Instead of limited binary comparing of cities, we are building a catalog of change, analyzing what design solutions cities have been developing informally incrementally over time, why, and how. We look at the people, institutions, culture behind the design and make concepts behind these tools visible. Students get first-hand information from cities where the chair as a Team has researched, worked, or constructed projects over the last year, allowing competent, practical insight about the people and topics that make these places unique. Students will be able to use and expand an alternative repertoire of experiences and evidence-based design tools, go to the conceptual core of them, and understand how and to what extent they can be relevant in other places. Urban Stories is the basic practice of architecture and urban design. It introduces a repertoire of urban design instruments to the students to use, test, and start their designs. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Urban form cannot be reduced to physical space. Cities result from 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 urban evolution. The facts stored in urban environments include contributions from its entire lifecycle, visible in the physical environment, and non-physical aspects. This imaginary city exists along with its potentials and problems and with the conflicts that have evolved. 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 understand how urban form evolved to its current state. How did cities develop into the cities we live in now? Urban plans, instruments, visions, political decisions, economic reasonings, cultural inputs, and social organization have been used to operate in urban settlements in specific moments of change. We have chosen cities that exemplify 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. The lecture series translates urban knowledge into operational tools, extracted from cities where they have been tested and become exemplary samples, most relevant for understanding how the urban landscape has taken shape. The tools are clustered in twelve thematic clusters and three tool scales for better comparability and cross-reflection. The Tool case studies are compiled into a global urbanization toolbox, which we use as typological models to read the city and critically reflect upon it. The presented contents are meant to serve as inspiration for positioning in future professional life and provide instruments for future design decisions. In an interview with a local designer, we measure our insights against the most pressing design topics in cities today, including inclusion, affordable housing, provision of public spaces, and infrastructure for all. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | The learning material, available via https://moodle-app2.let.ethz.ch/ is comprised of the following: - Toolbox 'Reader' with an introduction to the lecture course and tool summaries - Weekly exercise tasks - Infographics with basic information about each city - Quiz question for each tool - Additional reading material - Interviews with experts - Archive of lecture recordings For one-semester students, only a Research will be required. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | - Reading material will be provided throughout the semester. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 851-0252-08L | Evidence-Based Design: Methods and Tools for Evaluating Architectural Design Particularly suitable for students of D-ARCH. | W | 3 KP | 2S | C. Hölscher, L. Aguilar Melgar, M. Gath Morad, L. Narvaez Zertuche, C. Veddeler, Noch nicht bekannt | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Students are taught a variety of analytic techniques that can be used to evaluate architectural design. The concept of evidence-based design is introduced, and complemented with theoretical background on space syntax and spatial cognition. This is a project-oriented course, students implement a range of methods on a sample project. The course is tailored for architecture design students. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The course aims to teach students how to evaluate a design project from the perspective of the end user. The concept of evidence-based design is introduced through a series of case studies. Students are given a theoretical background in space syntax and spatial cognition, with a view to applying this knowledge during the design process. The course covers a range of methods including visibility analysis, network analysis, conducting real-world observations, and virtual reality for architectural design. Students apply these methods to a case study of their choice, which can be at building or urban scale. For students taking a B-ARCH or M-ARCH degree, this can be a completed or ongoing design studio project. The course gives students the chance to implement the methods iteratively and explore how best to address the needs of the eventual end-user during the design process. The course is tailored for students studying for B-ARCH and M-ARCH degrees. As an alternative to obtaining D-GESS credit, architecture students can obtain course credit in "Vertiefungsfach" or "Wahlfach". | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Mobilität und Energie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0216-00L | Wind Energy | W | 4 KP | 2V + 1U | N. Chokani | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The objective of this course is to introduce the students to the fundamentals, technologies, modern day application, and economics of wind energy. These subjects are introduced through a discussion of the basic principles of wind energy generation and conversion, and a detailed description of the broad range of relevant technical, economic and environmental topics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The objective of this course is to introduce the students to the fundamentals, technologies, modern day application, and economics of wind energy. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This mechanical engineering course focuses on the technical aspects of wind turbines; non-technical issues are not within the scope of this technically oriented course. On completion of this course, the student shall be able to conduct the preliminary aerodynamic and structural design of the wind turbine blades. The student shall also be more aware of the broad context of drivetrains, dynamics and control, electrical systems, and meteorology, relevant to all types of wind turbines. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0731-00L | Power Market I - Portfolio and Risk Management | W | 6 KP | 4G | D. Reichelt, G. A. Koeppel | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Portfolio und Risiko Management für Energieversorgungsunternehmen, Europäischer Strommarkt und -handel, Terminkontrakte, Preisabsicherung, Optionen und Derivate, Kennzahlen für das Risikomanagement, finanztechnische Modellierung von Kraftwerken, grenzüberschreitender Stromhandel, Systemdienstleistungen, Regelenergiemarkt, Bilanzgruppenmodell. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Erwerb von umfassenden Kenntnissen über die weltweite Liberalisierung der Strommärkte, den internationalen Stromhandel sowie die Funktion von Strombörsen. Verstehen der Finanzprodukte (Derivate) basierend auf dem Strompreis. Abbilden des Portfolios aus physischer Produktion, Verträgen und Finanzprodukten. Beurteilen von Strategien zur Absicherung des Marktpreisrisikos. Beherrschen der Methoden und Werkzeuge des Risiko Managements. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | 1. Europäischer Strommarkt und –handel 1.1. Einführung Stromhandel 1.2. Entwicklung des Marktes 1.3. Energiewirtschaft 1.4. Spothandel und OTC-Handel 1.5. Strombörse EEX 2. Marktmodell 2.1. Marktplatz und Organisation 2.2. Bilanzgruppenmodell / Ausgleichsenergie 2.3. Systemdienstleistungen 2.4. Regelenergiemarkt 2.5. Grenzüberschreitender Handel 2.6. Kapazitätsauktionen 3. Portfolio und Risiko Management 3.1. Portfoliomanagement 1 (Einführung) 3.2. Terminkontrakte (EEX Futures) 3.3. Risk Management 1 (m2m, VaR, hpfc, Volatilität, cVaR) 3.4. Risk Management 2 (PaR) 3.5. Vertragsbewertung (HPFC) 3.6. Portfoliomanagement 2 3.7. Risk Management 3 (Energiegeschäft) 4. Energie & Finance I 4.1. Optionen 1 – Grundlagen 4.2. Optionen 2 – Absicherungsstrategien 4.3. Einführung Derivate (Swaps, Cap, Floor, Collar) 4.4. Finanztechnische Modellierung von Kraftwerken 4.5. Wasserkraft und Handel 4.6. Anreizregulierung | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Handouts mit den Folien der Vorlesung | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Fallstudien und ML-Übungen zum Strommarkt können Bonuspunkte für die Prüfung bringen. Externe Referaten für ausgewählte Themen. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 363-1047-00L | Urban Systems and Transportation | W | 3 KP | 2G | M. Köthenbürger, G. Loumeau | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course is an introduction to urban and regional economics. It focuses on the formation and development of urban systems, and highlight how transport infrastructure investments can affect the location, size and composition of such systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The main objective of this course is to provide students with some basic tools to analyze the fundamental economic forces at play in urban systems (i.e., agglomeration and congestion forces), and the role of transport networks in shaping the structure of these systems. Why do urban areas grow or decline? How do transport networks affect the location of individuals and firms? Does the location of a firm determine its productivity? Can transport infrastructure investments reduce economic disparities? These are some of the questions that students should be able to answer after having completed the course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The course is organized in four parts. I start with the key observation that economic activity (both in terms of population density and productivity) is unevenly distributed in space. For instance, the share of the population living in urban centers is increasing globally, from 16% in 1900 and 50% in 2000 to about 68% by the year 2050 (UN, World Economic Prospects, 2014). The goal of the first part is then to understand the economic forces at play behind these trends, looking at the effects within and across urban areas. I will also discuss how natural or man-made geographical characteristics (e.g., rivers, mountains, borders, etc.) affect the development of such urban systems. In the second part, I discuss the planning and pricing of transport networks, moving from simple local models to more complex transport models at a global scale. The key aspects include: the first and second best road pricing, the public provision of transport networks and the demographic effects of transport networks. In the third part, I combine the previous two parts and analyze the interaction between urban systems and transportation. Thereby, the main focus is to understand the economic mechanisms that can lead to a general equilibrium of all actors involved. However, as the study of the historical development of urban systems and transport networks provides interesting insights, I will discuss how their interaction in the past shapes today’s economic geography. Finally, I broaden the scope of the course and explore related topics. There will be a particular emphasis on the relation between urban systems and fiscal federalism as well as environmental policies. Both aspects are important determinants of the contemporary developments of urban systems, and as such deserve our attention. In general, this class focuses on the latest research developments in urban and regional economics, though it does not require prior knowledge in this field. It pays particular attention to economic approaches, which are based on theoretical frameworks with strong micro-foundations and allow for precise policy recommendations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Course slides will be made available to students prior to each class. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Course slides will be made available to students. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 151-0163-00L | Nuclear Energy Conversion | W | 4 KP | 2V + 1U | A. Manera | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Physikalische Grundlagen der Kernspaltung und der Kettenreaktion, thermische Auslegung, Aufbau, Funktion, und Betrieb von Kernreaktoren und Kernkraftwerken, Leichtwasserreaktoren und andere Reaktortypen, Konversion und Brüten | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Die Studierenden erhalten einen Überblick über die Energieerzeugung in Kernkraftwerken, über Aufbau und Funktion der wichtigsten Reaktortypen sowie über den Kernbrennstoffkreislauf mit Schwerpunkt auf Leichtwasserreaktoren. Sie erhalten die mathematisch-physikalischen Grundlagen für quantitave Abschätzungen zu den wichtigsten Aspekten der Auslegung, des dynamischen Verhaltens und der Stoff- und Energieströme. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Neutronenphysikalische Grundlagen von Kernspaltung und Kettenreaktion. Thermodynamische Grundlagen von Kernreaktoren. Auslegung des Reaktorkerns. Einführung in das dynamische Verhalten von Kernreaktoren. Überblick über die wichtigsten Reaktortypen, Unterschied zwischen thermischen Reaktoren und Brutreaktoren. Aufbau und Betrieb von Kernkraftwerken mit Druck- und Siedewasserreaktoren, Rolle und Funktion der wichtigsten Sicherheitssysteme, Besonderheiten des Energieumwandlungsprozesses. Entwicklungstendenzen in der Reaktortechnik. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Vorlesungsunterlagen werden verteilt. Vielfältiges Angebot an zusätzlicher Literatur und Informationen unter Link | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | S. Glasston & A. Sesonke: Nuclear Reactor Engineering, Reactor System Engineering, Ed. 4, Vol. 2., Springer-Science+Business Media, B.V. R. L. Murray: Nuclear Energy (Sixth Edition), An Introduction to the Concepts, Systems, and Applications of Nuclear Processes, Elsevier | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 151-1633-00L | Energy Conversion This course is intended for students outside of D-MAVT. | W | 4 KP | 3G | G. Sansavini, S. A. Hosseini, I. Karlin | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course provides the students with an introduction to thermodynamics and energy conversion. Students shall gain basic understanding of energy and energy interactions as well as their link to energy conversion technologies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Thermodynamics is key to understanding and use of energy conversion processes in Nature and technology. Main objective of this course is to give a compact introduction into basics of Thermodynamics: Thermodynamic states and thermodynamic processes; Work and Heat; First and Second Laws of Thermodynamics. Students shall learn how to use energy balance equation in the analysis of power cycles and shall be able to evaluate efficiency of internal combustion engines, gas turbines and steam power plants. The course shall extensively use thermodynamic charts to building up students’ intuition about opportunities and restrictions to increase useful work output of energy conversion. Thermodynamic functions such as entropy, enthalpy and free enthalpy shall be used to understand chemical and phase equilibrium. The course also gives introduction to refrigeration cycles, combustion and refrigeration. The course compactly covers the standard course of thermodynamics for engineers, with additional topics of a general physics interest (nonideal gas equation of state and Joule-Thomson effect) also included. In the course "Energy Conversion", the competencies of process understanding and system understanding are applied and examined and the competencies process understanding and modeling are taught. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | 1. Thermodynamic systems, states and state variables 2. Properties of substances: Water, air and ideal gas 3. Energy conservation in closed and open systems: work, internal energy, heat and enthalpy 4. Second law of thermodynamics and entropy 5. Energy analysis of steam power cycles 6. Energy analysis of gas power cycles 7. Refrigeration and heat pump cycles 8. Nonideal gas equation of state and Joule-Thomson effect 9. Maximal work and exergy 10. Mixtures 11. Chemical reactions and combustion systems; chemical and phase equilibrium | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture slides and supplementary documentation will be available online. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Thermodynamics: An Engineering Approach, by Cengel, Y. A. and Boles, M. A., McGraw Hill | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | This course is intended for students outside of D-MAVT. Students are assumed to have an adequate background in calculus, physics, and engineering mechanics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 151-0567-00L | Engine Systems | W | 4 KP | 3G | C. Onder | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Einführung in heutige und zukünftige Verbrennungsmotorsysteme, insbesondere deren elektronische Steuerungen und Regelungen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Moderne Methoden der Systemoptimierung und Regelung am Beispiel "Verbrennungsmotor" kennenlernen und an realen Motoren einüben. Aufbau und Funktionsweise von Antriebssystemen verstehen und quantitativ beschreiben können. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Physikalische Phänomene und mathematische Modelle von Komponenten und Systemen (Gemischbildung, Laststeuerung, Aufladung, Emissionen, Antriebsstrangkomponenten, etc.). Fallstudien zum Thema modellbasierte optimale Auslegung und Steuerung / Regelung von Motorsystemen mit dem Ziel, Verbrauch und Schadstoffemissionen zu minimieren. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Introduction to Modeling and Control of Internal Combustion Engine Systems Guzzella Lino, Onder Christopher H. 2010, Second Edition, 354 p., hardbound ISBN: 978-3-642-10774-0 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Kombinierte Haus- und Laborübung Motoren (Lambda- oder Leerlaufdrehzahlregelung), in Gruppen | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0122-00L | Introduction to Electric Power Transmission: System & Technology | W | 4 KP | 4G | C. Franck, G. Hug | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Introduction to theory and technology of electric power transmission systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | At the end of this course, the student will be able to: describe the structure of electric power systems, name the most important components and describe what they are needed for, apply models for transformers and overhead power lines, explain the technology of lines, know about electrical safety, calculate electric withstand strength of gas gaps, stationary power flows and other basic parameters in simple power systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Structure of electric power systems, transformer and power line models, analysis of and power flow calculation in basic systems, technology and principle of electric power systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Lecture script in English, exercises and sample solutions. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| Daten und Informationstechnologie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 263-3210-00L | Deep Learning | W | 8 KP | 3V + 2U + 2A | T. Hofmann | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Deep learning is an area within machine learning that deals with algorithms and models that automatically induce multi-level data representations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | In recent years, deep learning and deep networks have significantly improved the state-of-the-art in many application domains such as computer vision, speech recognition, and natural language processing. This class will cover the mathematical foundations of deep learning and provide insights into model design, training, and validation. The main objective is a profound understanding of why these methods work and how. There will also be a rich set of hands-on tasks and practical projects to familiarize students with this emerging technology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | This is an advanced level course that requires some basic background in machine learning. More importantly, students are expected to have a very solid mathematical foundation, including linear algebra, multivariate calculus, and probability. The course will make heavy use of mathematics and is not (!) meant to be an extended tutorial of how to train deep networks with tools like Torch or Tensorflow, although that may be a side benefit. The participation in the course is subject to the following condition: - Students must have taken the exam in Advanced Machine Learning (252-0535-00) or have acquired equivalent knowledge, see exhaustive list below: Advanced Machine Learning https://ml2.inf.ethz.ch/courses/aml/ Computational Intelligence Lab http://da.inf.ethz.ch/teaching/2019/CIL/ Introduction to Machine Learning https://las.inf.ethz.ch/teaching/introml-S19 Statistical Learning Theory http://ml2.inf.ethz.ch/courses/slt/ Computational Statistics https://stat.ethz.ch/lectures/ss19/comp-stats.php Probabilistic Artificial Intelligence https://las.inf.ethz.ch/teaching/pai-f18 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 252-1414-00L | System Security | W | 7 KP | 2V + 2U + 2A | S. Capkun, S. Shinde | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The first part of the course covers general security concepts and hardware-based support for security. In the second part, the focus is on system design and methodologies for building secure systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | In this lecture, students learn about the security requirements and capabilities that are expected from modern hardware, operating systems, and other software environments. An overview of available technologies, algorithms and standards is given, with which these requirements can be met. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The first part of the lecture covers hardware-based security concepts. Topics include the concept of physical and software-based side channel attacks on hardware resources, architectural support for security (e.g., memory management and permissions, disk encryption), and trusted execution environments (Intel SGX, ARM TrustZone, AMD SEV, and RISC-V Keystone). In the second part, the focus is on system design and methodologies for building secure systems. Topics include: common software faults (e.g., buffer overflows, etc.), bug-detection, writing secure software (design, architecture, QA, testing), compiler-supported security (e.g., control-flow integrity), and language-supported security (e.g., memory safety). Along the lectures, model cases will be elaborated and evaluated in the exercises. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 263-4640-00L | Network Security | W | 8 KP | 2V + 2U + 3A | P. De Vaere, S. Frei, K. Paterson, A. Perrig | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Some of today's most damaging attacks on computer systems involve exploitation of network infrastructure, either as the target of attack or as a vehicle to attack end systems. This course provides an in-depth study of network attack techniques and methods to defend against them. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | - Students are familiar with fundamental network-security concepts. - Students can assess current threats that Internet services and networked devices face, and can evaluate appropriate countermeasures. - Students can identify and assess vulnerabilities in software systems and network protocols. - Students have an in-depth understanding of a range of important state-of-the-art security technologies. - Students can implement network-security protocols based on cryptographic libraries. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The course will cover topics spanning four broad themes with a focus on the first two themes: (1) network defense mechanisms such as public-key infrastructures, TLS, VPNs, anonymous-communication systems, secure routing protocols, secure DNS systems, and network intrusion-detection systems; (2) network attacks such as hijacking, spoofing, denial-of-service (DoS), and distributed denial-of-service (DDoS) attacks; (3) analysis and inference topics such as traffic monitoring and network forensics; and (4) new technologies related to next-generation networks. In addition, several guest lectures will provide in-depth insights into specific current real-world network-security topics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | This lecture is intended for students with an interest in securing Internet communication services and network devices. Students are assumed to have knowledge in networking as taught in a communication networks lecture like 252-0064-00L or 227-0120-00L. Basic knowledge of information security or applied cryptography as taught in 252-0211-00L or 263-4660-00L is beneficial, but an overview of the most important cryptographic primitives will be provided at the beginning of the course. The course will involve several graded course projects. Students are expected to be familiar with a general-purpose or network programming language such as C/C++, Go, Python, or Rust. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 252-0535-00L | Advanced Machine Learning | W | 10 KP | 3V + 2U + 4A | J. M. Buhmann, C. Cotrini Jimenez | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Machine learning algorithms provide analytical methods to search data sets for characteristic patterns. Typical tasks include the classification of data, function fitting and clustering, with applications in image and speech analysis, bioinformatics and exploratory data analysis. This course is accompanied by practical machine learning projects. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will be familiarized with advanced concepts and algorithms for supervised and unsupervised learning; reinforce the statistics knowledge which is indispensible to solve modeling problems under uncertainty. Key concepts are the generalization ability of algorithms and systematic approaches to modeling and regularization. Machine learning projects will provide an opportunity to test the machine learning algorithms on real world data. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The theory of fundamental machine learning concepts is presented in the lecture, and illustrated with relevant applications. Students can deepen their understanding by solving both pen-and-paper and programming exercises, where they implement and apply famous algorithms to real-world data. Topics covered in the lecture include: Fundamentals: What is data? Bayesian Learning Computational learning theory Supervised learning: Ensembles: Bagging and Boosting Max Margin methods Neural networks Unsupservised learning: Dimensionality reduction techniques Clustering Mixture Models Non-parametric density estimation Learning Dynamical Systems | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | No lecture notes, but slides will be made available on the course webpage. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | C. Bishop. Pattern Recognition and Machine Learning. Springer 2007. R. Duda, P. Hart, and D. Stork. Pattern Classification. John Wiley & Sons, second edition, 2001. T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning: Data Mining, Inference and Prediction. Springer, 2001. L. Wasserman. All of Statistics: A Concise Course in Statistical Inference. Springer, 2004. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | The course requires solid basic knowledge in analysis, statistics and numerical methods for CSE as well as practical programming experience for solving assignments. Students should have followed at least "Introduction to Machine Learning" or an equivalent course offered by another institution. PhD students are required to obtain a passing grade in the course (4.0 or higher based on project and exam) to gain credit points. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 263-2400-00L | Reliable and Trustworthy Artificial Intelligence | W | 6 KP | 2V + 2U + 1A | M. Vechev | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Creating reliable, secure, robust, and fair machine learning models is a core challenge in artificial intelligence and one of fundamental importance. The goal of the course is to teach both the mathematical foundations of this new and emerging area as well as to introduce students to the latest and most exciting research in the space. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Upon completion of the course, the students should have mastered the underlying methods and be able to apply them to a variety of engineering and research problems. To facilitate deeper understanding, the course includes a group coding project where students will build a system based on the learned material. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The course is split into 4 parts: Robustness of Machine Learning -------------------------------------------- - Adversarial attacks and defenses on deep learning models. - Automated certification of deep learning models (major trends: convex relaxations, branch-and-bound, randomized smoothing). - Certified training of deep neural networks (combining symbolic and continuous methods). Privacy of Machine Learning -------------------------------------- - Threat models (e.g., stealing data, poisoning, membership inference, etc.). - Attacking federated machine learning (across vision, natural language and tabular data). - Differential privacy for defending machine learning. - AI Regulations and checking model compliance. Fairness of Machine Learning --------------------------------------- - Introduction to fairness (motivation, definitions). - Enforcing individual fairness (for both vision and tabular data). - Enforcing group fairness (e.g., demographic parity, equalized odds). Robustness, Privacy and Fairness of Foundation Models --------------------------------------------------------------------------- - We discuss all previous topics, as well as programmability, in the context of latest foundation models (e.g., LLMs). More information here: https://www.sri.inf.ethz.ch/teaching/rtai24. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | While not a formal requirement, the course assumes familiarity with basics of machine learning (especially linear algebra, gradient descent, and neural networks as well as basic probability theory). These topics are usually covered in “Intro to ML” classes at most institutions (e.g., “Introduction to Machine Learning” at ETH). The coding project will utilize Python and PyTorch. Thus some programming experience in Python is expected. Students without prior knowledge of PyTorch are expected to acquire it early in the course by solving exercise sheets. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 263-3845-00L | Data Management Systems | W | 8 KP | 3V + 1U + 3A | G. Alonso | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course will cover the implementation aspects of data management systems using relational database engines as a starting point to cover the basic concepts of efficient data processing and then expanding those concepts to modern implementations in data centers and the cloud. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The goal of the course is to convey the fundamental aspects of efficient data management from a systems implementation perspective: storage, access, organization, indexing, consistency, concurrency, transactions, distribution, query compilation vs interpretation, data representations, etc. Using conventional relational engines as a starting point, the course will aim at providing an in depth coverage of the latest technologies used in data centers and the cloud to implement large scale data processing in various forms. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The course will first cover fundamental concepts in data management: storage, locality, query optimization, declarative interfaces, concurrency control and recovery, buffer managers, management of the memory hierarchy, presenting them in a system independent manner. The course will place an special emphasis on understating these basic principles as they are key to understanding what problems existing systems try to address. It will then proceed to explore their implementation in modern relational engines supporting SQL to then expand the range of systems used in the cloud: key value stores, geo-replication, query as a service, serverless, large scale analytics engines, etc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | The main source of information for the course will be articles and research papers describing the architecture of the systems discussed. The list of papers will be provided at the beginning of the course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | The course requires to have completed the Data Modeling and Data Bases course at the Bachelor level as it assumes knowledge of databases and SQL. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 263-5902-00L | Computer Vision | W | 8 KP | 3V + 1U + 3A | M. Pollefeys, S. Tang | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The goal of this course is to provide students with a good understanding of computer vision and image analysis techniques. The main concepts and techniques will be studied in depth and practical algorithms and approaches will be discussed and explored through the exercises. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The objectives of this course are: 1. To introduce the fundamental problems of computer vision. 2. To introduce the main concepts and techniques used to solve those. 3. To enable participants to implement solutions for reasonably complex problems. 4. To enable participants to make sense of the computer vision literature. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Camera models and calibration, invariant features, Multiple-view geometry, Model fitting, Stereo Matching, Segmentation, 2D Shape matching, Shape from Silhouettes, Optical flow, Structure from motion, Tracking, Object recognition, Object category recognition | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | It is recommended that students have taken the Visual Computing lecture or a similar course introducing basic image processing concepts before taking this course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 252-3005-00L | Natural Language Processing | W | 7 KP | 3V + 3U + 1A | R. Cotterell | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course presents topics in natural language processing with an emphasis on modern techniques, primarily focusing on statistical and deep learning approaches. The course provides an overview of the primary areas of research in language processing as well as a detailed exploration of the models and techniques used both in research and in commercial natural language systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The objective of the course is to learn the basic concepts in the statistical processing of natural languages. The course will be project-oriented so that the students can also gain hands-on experience with state-of-the-art tools and techniques. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This course presents an introduction to general topics and techniques used in natural language processing today, primarily focusing on statistical approaches. The course provides an overview of the primary areas of research in language processing as well as a detailed exploration of the models and techniques used both in research and in commercial natural language systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Lectures will make use of textbooks such as the one by Jurafsky and Martin where appropriate, but will also make use of original research and survey papers. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 263-5057-00L | From Publication to the Doctor's Office The deadline for deregistering expires at the end of the second week of the semester. Students who are still registered after that date, but do not attend the seminar, will officially fail the seminar. | W | 3 KP | 2S + 1A | O. Demler | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This seminar course is designed to provide students with an opportunity to review and critically evaluate recent publications in medical field focusing on examples when CS method or bioinformatics/statistical technique has lead to an instrumentation, technique or drug approved for clinical practice use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Throughout the course, students will read and analyze recent publications that demonstrate successful applications and sometimes failures in medicine. Promissing research applications will also be duscussed. The publications will cover a wide range of topics, including drug discovery, image analysis, prognostic models, and learning healthcare. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The course will be structured as half lecture content and half seminar content. Lectures will review state of the medical practice prior to the discovery, obstacles in moving the field forward, and the need for improvement. Lecture will be followed by the seminar part where students will take turns presenting the assigned publications and leading the discussions. Students‘ presentations will focus on the main findings, and specfic steps taken to translate the finding into clinical practice. Publications will include examples of: • specific CS/bioinformatics/statistics applications that has been brought to „bedside“ – has been approved by European Medicines Agency / Food and Drug Administration (USA) for clinical use or are widely used in medical research; • examples of failures of how a discovery did not translate into an endproduct and why; current active research areas. Covered topics will include some of the following: • Drug discovery: Computer-aided drug discovery has become an integral part of the drug development process, enabling researchers to design and screen large libraries of molecules in silico (i.e., using computer simulations) before synthesizing and testing them in the lab. This has led to the discovery of new drug candidates for a wide range of diseases, including cancer, Alzheimer's disease, and HIV/AIDS. • Genomics: Advances in computational genomics have enabled researchers to analyze and interpret large-scale genomic data, including DNA sequencing data, to identify disease-causing mutations, genetic risk factors, and drug targets. Examples of the development of personalized medicine, where treatments are tailored to an individual's genetic makeup. Examples when drug target identified by genetics has led to approved treatment. • Imaging: Computer vision and image processing techniques have revolutionized medical imaging, enabling researchers to extract quantitative information from medical images that were previously inaccessible. This has led to the development of new diagnostic and prognostic tools for a wide range of diseases, including cancer, cardiovascular disease, and neurological disorders. • Real-world data applications: emulation of clinical trials using electronic health records data. • Large language models: Generating clinical trial protocols using large language models. Natural Language Processing for information extraction and interpretation. • Learning healthcare systems: Advances in data analytics and information technology have enabled the development of learning healthcare systems, which use real-time data from electronic health records, medical devices, and other sources to improve patient outcomes and reduce healthcare costs. This has the potential to transform the way healthcare is delivered, making it more personalized, efficient, and effective. In addition to the presentations, students will also be required to write critical reviews of the assigned publications throughout the course. The reviews will be evaluated based on the students' ability to identify the strengths and weaknesses of the publications and to provide insightful and constructive feedback. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | The course is intended for advanced undergraduate and graduate students with a background in computer science, bioinformatics, or a related field and interest in applying their skills to medical research. This course assumes a working knowledge of R/Python and intermediate statistical analysis, including linear, logistic, survival regressions or ability and interest to learn them outside of the class. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| Gesundheitswissenschaften und -technologie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-0021-00L | Materials and Mechanics in Medicine | W | 4 KP | 3G | M. Zenobi-Wong, J. G. Snedeker | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Understanding of physical and technical principles in biomechanics, biomaterials, and tissue engineering as well as a historical perspective. Mathematical description and problem solving. Knowledge of biomedical engineering applications in research and clinical practice. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Understanding of physical and technical principles in biomechanics, biomaterials, tissue engineering. Mathematical description and problem solving. Knowledge of biomedical engineering applications in research and clinical practice. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Biomaterials, Tissue Engineering, Tissue Biomechanics, Implants. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | course website on Moodle | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Introduction to Biomedical Engineering, 3rd Edition 2011, Autor: John Enderle, Joseph Bronzino, ISBN 9780123749796 Academic Press | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1103-00L | Frontiers in Nanotechnology | W | 4 KP | 4V | V. Vogel, weitere Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Many disciplines are meeting at the nanoscale, from physics, chemistry to engineering, from the life sciences to medicine. The course will prepare students to communicate more effectively across disciplinary boundaries, and will provide them with deep insights into the various frontiers. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Building upon advanced technologies to create, visualize, analyze and manipulate nano-structures, as well as to probe their nano-chemistry, nano-mechanics and other properties within manmade and living systems, many exciting discoveries are currently made. They change the way we do science and result in so many new technologies. The goal of the course is to give Master and Graduate students from all interested departments an overview of what nanotechnology is all about, from analytical techniques to nanosystems, from physics to biology. Students will start to appreciate the extent to which scientific communities are meeting at the nanoscale. They will learn about the specific challenges and what is currently “sizzling” in the respective fields, and learn the vocabulary that is necessary to communicate effectively across departmental boundaries. Each lecturer will first give an overview of the state-of-the art in his/her field, and then describe the research highlights in his/her own research group. While preparing their Final Projects and discussing them in front of the class, the students will deepen their understanding of how to apply a range of new technologies to solve specific scientific problems and technical challenges. Exposure to the different frontiers will also improve their ability to conduct effective nanoscale research, recognize the broader significance of their work and to start collaborations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Starting with the fabrication and analysis of nanoparticles and nanostructured materials that enable a variety of scientific and technical applications, we will transition to discussing biological nanosystems, how they work and what bioinspired engineering principles can be derived, to finally discussing biomedical applications and potential health risk issues. Scientific aspects as well as the many of the emerging technologies will be covered that start impacting so many aspects of our lives. This includes new phenomena in physics, advanced materials, novel technologies and new methods to address major medical challenges. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | All the enrolled students will get access to a password protected website where they can find pdf files of the lecture notes, and typically 1-2 journal articles per lecture that cover selected topics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-1714-00L | Biocompatible Materials | W | 4 KP | 3V | K. Maniura, M. Rottmar, M. Zenobi-Wong | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Introduction to molecules used for biomaterials, molecular interactions between different materials and biological systems (molecules, cells, tissues). The concept of biocompatibility is discussed and important techniques from biomaterials research and development are introduced. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The course covers the follwing topics: 1. Introdcution into molecular characteristics of molecules involved in the materials-to-biology interface. Molecular design of biomaterials. 2. The concept of biocompatibility. 3. Introduction into methodology used in biomaterials research and application. 4. Introduction to different material classes in use for medical applications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Introduction into natural and polymeric biomaterials used for medical applications. The concepts of biocompatibility, biodegradation and the consequences of degradation products are discussed on the molecular level. Different classes of materials with respect to potential applications in tissue engineering, drug delivery and for medical devices are introduced. Strong focus lies on the molecular interactions between materials having very different bulk and/or surface chemistry with living cells, tissues and organs. In particular the interface between the materials surfaces and the eukaryotic cell surface and possible reactions of the cells with an implant material are elucidated. Techniques to design, produce and characterize materials in vitro as well as in vivo analysis of implanted and explanted materials are discussed. A link between academic research and industrial entrepreneurship is demonstrated by external guest speakers, who present their current research topics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Handouts are deposited online (moodle). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Literature: - Biomaterials Science: An Introduction to Materials in Medicine, Ratner B.D. et al, 3rd Edition, 2013 - Comprehensive Biomaterials, Ducheyne P. et al., 1st Edition, 2011 (available online via ETH library) Handouts and references therin. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 376-0300-00L | Essentials in Translational Science | W | 3 KP | 2G | J. Goldhahn, N. K. Brasier, D. Schaffarczyk | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Translational science is a cross disciplinary scientific research that is motivated by the need for practical applications that help people (e.g. Medicines). The course should help to clarify basics of translational science, illustrate successful applications and enable students to integrate key features into their future projects. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | After completing this course, students will be able to understand: Principles of translational science including medical device development, intellectual property, regulatory environment and project management Students should be able to apply this knowledge in drug development programs in Pharma, Biotech or their own spin-off. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | What is translational science and what is it not Including: How to identify need? How to choose the appropriate research type and methodology How to measure success? How are medical devices developed? How to handle IP in the development process? How does the regulatory environment impact innovation? How to manage complex development projects? Positive and negative examples will be illustrated by distinguished guest speakers. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Principles of Biomedical Sciences and Industry Translating Ideas into Treatments https://doi.org/10.1002/9783527824014 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | 4x online input lecture followed by case preparation and symposium | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 752-6105-00L | Epidemiology and Prevention | W | 3 KP | 2V | M. Puhan, R. Heusser | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The module „Epidemiology and prevention“ describes the process of scientific discovery from the detection of a disease and its causes, to the development and evaluation of preventive and treatment interventions and to improved population health. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The overall goal of the course is to introduce students to epidemiological thinking and methods, which are criticial pillars for medical and public health research. Students will also become aware on how epidemiological facts are used in prevention, practice and politics. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The module „Epidemiology and prevention“ follows an overall framework that describes the course of scientific discovery from the detection of a disease to the development of prevention and treatment interventions and their evaluation in clinical trials and real world settings. We will discuss study designs in the context of existing knowledge and the type of evidence needed to advance knowledge. Examples from nutrition, chronic and infectious diseases will be used in order to show the underlying concepts and methods. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 752-6151-00L | Public Health Concepts | W | 3 KP | 2V | R. Heusser | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The module "public health concepts" offers an introduction to key principles of public health. Students get acquainted with the concepts and methods of epidemiology. Students also learn to use epidemiological data for prevention and health promotion purposes. Public health concepts and intervention strategies are presented, using examples from infectious and chronic diseases. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | At the end of this module students are able: - to interpret the results of epidemiological studies - to critically assess scientific literature - to know the definition, dimensions and determinants of health - to plan public health interventions and health promotion projects - to draw a bridge from evidence to policies and politics | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Concepts of descriptive and analytical epidemiology, study designs, measures of effect, confounding and bias, screening, surveilllance, definition of health and health promotion, health dimensions and health determinants, prevention strategies, public health interventions, public health action cycle, epidemiology and prevention of infectious and chronic diseases (HIV, COVID-19, Obesity, Iodine/PH nutrition). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Handouts are provided to students in the classroom. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 636-0109-00L | Stem Cells: Biology and Therapeutic Manipulation | W | 4 KP | 3G | T. Schroeder | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Stem cells are central in tissue regeneration and repair, and hold great potential for therapy. We will discuss the role of stem cells in health and disease, and possibilities to manipulate their behavior for therapeutic application. Basic molecular and cell biology, engineering and novel technologies relevant for stem cell research and therapy will be discussed. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Understanding of current knowledge, and lack thereof, in stem cell biology, regenerative medicine and required technologies. Theoretical preparation for practical laboratory experimentation with stem cells. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | We will use different diseases to discuss how to potentially model, diagnose or heal them by stem cell based therapies. This will be used as a guiding framework to discuss relevant concepts and technologies in cell and molecular biology, engineering, imaging, bioinformatics, tissue engineering, that are required to manipulate stem cells for therapeutic application. Topics will include: - Embryonic and adult stem cells and their niches - Induced stem cells by directed reprogramming - Relevant basic cell biology and developmental biology - Relevant molecular biology - Cell culture systems - Cell fates and their molecular control by transcription factors and signalling pathways - Cell reprogramming - Disease modelling - Tissue engineering - Bioimaging, Bioinformatics - Single cell technologies | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 376-0225-00L | Critical Appraisal of Evidence for Exercise in Health and Disease | W | 3 KP | 2V | E. Giannouli, E. de Bruin, R. Knols | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course will discuss the mechanisms and latest evidence-based recommendations of physical activity and exercise for a series of conditions and populations. In the second part of each lecture session, published randomized controlled trials of the respective lecture`s topic will be discussed and critically appraised based on established tools. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | On completion of this course students will be able to: 1. understand the role of physical activity and sedentary behavior in the maintenance of health and the etiology, prevention and treatment of disease 2. synthesize effective physical activity and exercise interventions for the prevention and management of several diseases and populations 3. evaluate recent evidence regarding physical activity and exercise interventions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | New trends in physical activity for prevention and rehabilitation Introduction to critical appraisal tools Exercise for Cancer Rehabilitation Exercise for Musculoskeletal Rehabilitation (Focus on Osteoarthritis and Low Back Pain) Exercise in Parkinson`s disease Exercise for Rehabilitation of Metabolic Disorders (Focus on Obesity and Diabetes type 2) Exercise for age-related diseases and disorders, Part A (Focus on Frailty and Falls) Exercise for Stroke Rehabilitation Exercise in Dementia and Mild Cognitive Impairment Exercise for Children’s Rehabilitation (focus on Cerebral Palsy) Exercise for age-related diseases and disorders, Part B (Focus on Sarcopenia and Osteoporosis) Exercise in Multiple Sclerosis Exercise for Cardiovascular Rehabilitation (Focus on Heart Failure) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | • Kanosue, K., Oshima, S., Cao, Z. B., & Oka, K. (Eds.). (2015). Physical activity, exercise, sedentary behav-ior and health (No. 12152). Springer Japan. • Stensel, D. J., Hardman, A. E., & Gill, J. M. (Eds.). (2021). Physical activity and health: the evidence ex-plained. Routledge. • Xiao, J. (Ed.). (2020). Physical exercise for human health. Singapore: Springer Singapore | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| Umwelt und Ressourcen | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 103-0347-00L | Landscape Planning and Environmental Systems | W | 3 KP | 2V | A. Grêt-Regamey | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Im 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Ziele 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | In 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 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Kein Skript. Die Unterlagen, bestehend aus Präsentationsunterlagen der einzelnen Referate werden teilweise abgegeben und stehen auf Moodle zum Download bereit. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Die 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. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 651-4057-00L | Climate History and Palaeoclimatology | W | 4 KP | 2G | H. Stoll, I. Hernández Almeida | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Climate history and paleoclimatology explores how the major features of the earth's climate system have varied in the past, and the driving forces and feedbacks for these changes. The major topics include the earth's CO2 concentration and mean temperature, the size and stability of ice sheets and sea level, the amount and distribution of precipitation, and the ocean heat transport. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The student will be able to describe the natural factors lead to variations in the earth's mean temperature, the growth and retreat of ice sheets, and variations in ocean and atmospheric circulation patterns, including feedback processes. Students will be able to interpret evidence of past climate changes from the main climate indicators or proxies recovered in geological records. Students will be able to use data from climate proxies to test if a given hypothesized mechanism for the climate change is supported or refuted. Students will be able to compare the magnitudes and rates of past changes in the carbon cycle, ice sheets, hydrological cycle, and ocean circulation, with predictions for climate changes over the next century to millennia. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The course spans 5 thematic modules: 1. Cyclic variation in the earth's orbit and the rise and demise of ice sheets. Ice sheets and sea level - What do expansionist glaciers want? What is the natural range of variation in the earth's ice sheets and the consequent effect on sea level? How do cyclic variations in the earth's orbit affect the size of ice sheets under modern climate and under past warmer climates? What conditions the mean size and stability or fragility of the large polar ice caps and is their evidence that they have dynamic behavior? What rates and magnitudes of sea level change have accompanied past ice sheet variations? How stable or fragile is the ocean heat conveyor, past and present? 2. Feedbacks on climate cycles from CO2 and methane. What drives CO2 and methane variations over glacial cycles? What are the feedbacks with ocean circulation and the terrestrial biosphere? 3. Atmospheric circulation and variations in the earth's hydrological cycle - How variable are the earth's precipitation regimes? How large are the orbital scale variations in global monsoon systems? 4. Century-scale droughts and civil catastrophes. Will mean climate change El Nino frequency and intensity? What factors drive change in mid and high-latitude precipitation systems? Is there evidence that changes in water availability have played a role in the rise, demise, or dispersion of past civilizations? 5. How sensitive is Earth's long term climate to CO2 and cloud feedbacks? What regulates atmospheric CO2 over long tectonic timescales of millions to tens of millions of years? The weekly two hour lecture periods will feature lecture on these themes interspersed with short interactive tasks to apply new knowledge. Over the semester, student teams will each present in class one debate based on two scientific articles of contrasting interpretations. With flexible scheduling, students will participate in a laboratory activity to generate a new paleoclimate record from stalagmites. Student teams will be supported by an individual tutorial meeting to assist in debate preparation and another to assist in the interpretation of the lab activity data. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 701-1677-00L | Quantitative Vegetation Dynamics: Models from Tree to Globe | W | 3 KP | 3G | H. Lischke, U. Hiltner, B. Rohner | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The course introduces basic concepts and applications of dynamic vegetation models at various temporal and spatial scales. Different modeling approaches and underlying principles are presented and critically discussed during the lectures. In the integrated exercise parts, students work in a number of small projects with some of the introduced models to gain practical experience. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Students will - be enabled to understand, assess and evaluate the fundamental properties of dynamic systems using vegetation models as case studies - obtain an overview of dynamic modelling techniques and their applications from the individual plant to the global level - understand the basic assumptions of the various model types, which dictate the applicability and limitations of the respective model - be enabled to work with such model types on their own - appreciate the methodological basis for impact assessments of future climate change and other environmental changes on ecosystems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Models of individuals - Deriving single-plant models from inventory measurements - Plant models based on 'first principles' Models at the stand scale - Simple approaches: matrix models - Competition for light and other resources as central mechanisms - Individual-based stand models: distance-dependent and distance-independent - Theoretical models Models at the landscape scale - Simple approaches: cellular automata - Dispersal and disturbances (windthrow, fire, bark beetles) as key mechanisms - Landscape models Global models - Sacrificing local detail to attain global coverage: processes and entities - Dynamic Global Vegetation Models (DGVMs) - DGVMs as components of Earth System Models | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Handouts will be available in the course and for download | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Will be indicated at the beginning of the course | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | - Ideally basic experiences in modelling and systems analysis - Basic knowledge of programming, ideally in R - Good knowledge of general ecology, ideally of vegetation dynamics and forest systems | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 701-1346-00L | Climate Change Mitigation: Carbon Dioxide Removal | W | 3 KP | 2G | N. Gruber, C. Brunner | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Future climate change can only kept within reasonable bounds when CO2 emissions are drastically reduced. In this course, we will discuss a portfolio of options involving the alteration of natural carbon sinks and carbon sequestration. The course includes introductory lectures, presentations from guest speakers from industry and the public sector, and final presentations by the students. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The goal of this course is to investigate, as a group, a particular set of carbon mitigation/sequestration options and to evaluate their potential, their cost, and their consequences. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | From the large number of carbon sequestration/mitigation options, a few options will be selected and then investigated in detail by the students. The results of this research will then be presented to the other students, the involved faculty, and discussed in detail by the whole group. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | None | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Will be identified based on the chosen topic. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Exam: No final exam. Pass/No-Pass is assigned based on the quality of the presentation and ensuing discussion. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 103-0347-01L | Landscape Planning and Environmental Systems (GIS Exercises) | W | 3 KP | 2U | A. Grêt-Regamey, C. Brouillet, N. Klein, I. Nicholson Thomas | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Im Kurs werden die Inhalte der Vorlesung Landschaftsplanung und Umweltsysteme (103-0347-00 V) verdeutlicht. Die verschiedenen Aspekte (z.B. Habitatmodellierung, ökosystemleistungen, Landnutzungsänderung, Vernetzung) werden in einzelnen GIS Übungen praktisch erarbeitet. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | - Praktische Anwendung der theoretischen Grundlagen aus der Vorlesung - Quantitative Erfassung und Bewertung der Eigenschaften der Landschaft durchführen - Zweckmässiger Einsatz von GIS für die Landschaftsplanung kennen - Anhand von Fallbeispielen Massnahmen der Landschaftsplanung erarbeiten | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | - Einsatz von GIS in der Landschaftsplanung - Landschaftsanalyse - Landschaftsstrukturmasse - Modellierung von Habitaten und Landnutzungsänderungen - Berechnung urbaner Landschaftsdienstleistungen - ökologische Vernetzung | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Skripte und Präsentationsunterlagen für jede Übung werden auf Moodle zur Verfügung gestellt. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Wird in der Veranstaltung genannt. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | GIS-Grundkenntisse sind von Vorteil. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 701-1257-00L | European Climate Change | W | 3 KP | 2G | E. Fischer, J. Rajczak, S. C. Scherrer | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | The lecture provides an overview of climate change in Europe, from a physical and atmospheric science perspective. It covers the following topics: • observational datasets, observation and detection of climate change; • underlying physical processes and feedbacks; • numerical and statistical approaches; • currently available projections. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | At the end of this course, participants should: • understand the key physical processes shaping climate change in Europe; • know about the methodologies used in climate change studies, encompassing observational, numerical, as well as statistical approaches; • be familiar with relevant observational and modeling data sets; • be able to tackle simple climate change questions using available data sets. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Contents: • global context • observational data sets, analysis of climate trends and climate variability in Europe • global and regional climate modeling • statistical downscaling • key aspects of European climate change: intensification of the water cycle, Polar and Mediterranean amplification, changes in extreme events, changes in hydrology and snow cover, topographic effects • projections of European and Alpine climate change | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Slides and lecture notes will be made available at http://www.iac.ethz.ch/edu/courses/master/electives/european-climate-change.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | Participants should have a background in natural sciences, and have attended introductory lectures in atmospheric sciences or meteorology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 751-5201-10L | Tropical Cropping Systems, Soils and Livelihoods (with Excursion) IMPORTANT: Students who enroll for this course are strongly recommended to verify with lecturers from other courses whether their absence of two weeks may affect their performance in the respective courses. | W | 5 KP | 10G | J. Six, K. Benabderrazik | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course guides students in analyzing and comprehending tropical agroecosystems and food systems. Students gain practical knowledge of field methods, diagnostic tools and survey methods for tropical soils and agroecosystems. An integral part of the course is the two-week field project in the Mount Kenya Region, which is co-organized with the University of Embu (Kenya) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | (1) Overview of the major land use systems in Tropical agroecosystems in several contexts Africa (2) Interdisciplinary analysis of agricultural production systems (3) Knowledge on methods to assess agroecological performance of a tropical agroecosystems (4) Hands-on training on the use of field methods, diagnostic tools and survey methods. (5) Gain practical knowledge on how to assess to climate resilience and farming systems. (6) Collaboration in international students and stakeholders | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This course guides students in analyzing and comprehending tropical agroecosystems. Students of ETH Zürch will work together with the students from Embu University (Kenya) in an interdisciplinary and intercultural team. Students will focus on the Agroecological performance and climate resilience of diverse farming systems in the Mount Kenya Region. From October 28th to November 11th, The students will take part in a field course in the Mount Kenya Region. Students will then gain practical knowledge on field, meeting several stakeholders of the agricultural and food systems and conducting various assessments related to climate resilience and farming systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | We would require the students enrolled to the class to send a short cover letter (1-page max.) by September 18rd 2023, justifying your motivation to enroll to this class. A selection of 20 students will be done on the basis of the letters. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 651-4037-00L | Mineral Resources I Möglich als Wahlfach für Bachelor. Studierende mit Interesse für Modul "Mineral Resources" im nachfolgenden Master sollten die Kurse Mineral Resources I und II besser im ersten MSc Jahr belegen. | W | 3 KP | 2G | C. Chelle-Michou, L. Tavazzani | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Principles of hydrothermal ore formation, using base metal deposits (Cu, Pb, Zn) in sedimentary basins to explain the interplay of geological, chemical and physical factors from global scale to sample scale. Introduction to orthomagmatic ore formation (mostly Cr, Ni, PGE). Introduction to supergene residual deposits (Ni, Al) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Understanding the fundamental processes of hydrothermal, magmatic and supergene ore formation, recognising and interpreting mineralised rocks in geological context | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | (a) Principles of hydrothermal ore formation: base metal deposits in sedimentary basins. Practical classification of sample suites by genetic ore deposit types Mineral solubility and ore deposition, principles & thermodynamic prediction using activity diagrams. Driving forces and structural focussing of hydrothermal fluid flow (b) Introduction to orthomagmatic ore formation. Chromite, Ni-Cu sulphides and PGE in layered mafic intrusions. Distribution coefficients between silicate and sulphide melts. Carbonatites and pegmatite deposits. (c) Introduction to supergene residual deposits with emphasis on Ni laterites and bauxites | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | Notes handed out during lectures | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Extensive literature list distributed in course | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | 2 contact hours per lecture / week including lectures, exercises and practical study of samples, and small literature-based student presentations. Supplementary contact for sample practicals and exercises as required. Credits and mark based on participation in course (exercises, 50%) and 1h30 written exam in the last lecture of the semester (50%). | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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