Suchergebnis: Katalogdaten im Frühjahrssemester 2022

Integrated Building Systems Master Information
Hauptfächer
Vertiefungsfächer
NummerTitelTypECTSUmfangDozierende
101-0579-00LInfrastructure Management 2: Evaluation ToolsW6 KP2GS. Moghtadernejad
KurzbeschreibungThis course provides tools to predict the service being provided by infrastructure in situations where the infrastructure is expected to

1) to evolve slowly with relatively little uncertainty over time, e.g. due to the corrosion of a metal bridge, and

2) to change suddenly with relatively large uncertainty, e.g. due to being washed away from an extreme flood.
LernzielThe course learning objective is to equip students with tools to be used to the service being provided from infrastructure.
The course increases a student's ability to analyse complex problems and propose solutions and to use state-of-the-art methods of analysis to assess complex problems
InhaltReliability
Availability and maintainability
Regression analysis
Event trees
Fault trees
Markov chains
Neural networks
Bayesian networks
SkriptAll necessary materials (e.g. transparencies and hand-outs) will be distributed before class.
LiteraturAppropriate reading material will be assigned when necessary.
Voraussetzungen / BesonderesAlthough not an official prerequisite, it is perferred that students have taken the IM1:Process course first. Understanding of the infrastructure management process enables a better understanding of where and how the tools introduced in this course can be used in the management of infrastructure.
102-0516-01LUmweltverträglichkeitsprüfungW3 KP2GM. Riva, S.‑E. Rabe
KurzbeschreibungSchwerpunkt sind Verfahren, Ablauf und Inhalt der Umweltverträglichkeitsprüfung sowie gesetzliche Grundlagen und Methoden zur Erarbeitung eines UV-Berichtes. Mittels Exkursionen und Fallbeispielen wird ein vertiefter Einblick in die UVP ermöglicht. Am Beispiel eines Projektes werden Methoden zur Wirkungsabschätzung und der Ablauf einer UVP nachvollzogen und kritisch beurteilt.
Lernziel- Verständnis des Zusammenhangs von Raumplanung und Umweltschutz
- Fähigkeit zur Anwendung der zentralen Instrumente und Planungsabläufe zur Abschätzung der Umweltfolgen und -risiken von Vorhaben
- Fähigkeit zur Anwendung von quantitativen Methoden zur Abschätzung der Umweltfolgen und -risiken von Vorhaben
- Wissen über den Ablauf und Inhalt einer UVP
- Fähigkeit zur kritischen Beurteilung von Umweltverträglichkeitsprüfungen

In dem Fach "Umweltverträglichkeitsprüfung" werden die Kompetenzen Prozessverständnis, Systemverständnis und Konzeptentwicklung angewandt und Systemverständnis auch geprüft.
Inhalt- Nominaler und funktionaler Umweltschutz in der Schweiz
- Instrumente des Umweltschutzes
- Abstimmungsbedarf zwischen Umweltschutz und Raumplanung
- Umweltschutz und Umweltverträglichkeitsprüfung
- gesetzliche Grundlagen der UVP
- Verfahrensablauf der UVP
- Inhalt der UVP
- Inhalt und Aufbau des UVB
- Anwendung der Wirkungsanalyse
- Monitoring und Controlling
- Ausblick bezüglich Strategische Umweltverträglichkeitsprüfung
- Exkursionen zu UVP-pflichtigen Vorhaben
SkriptKopien der Vorlesungsfolien
Verschiedene Artikel zur Thematik

Download: http://irl.ethz.ch/de/education/vorlesungen/bsc/environmental_impact.html
Literatur- Bundesamt für Umwelt 2009: UVP-Handbuch. Richtlinie des Bundes
für die Umweltverträglichkeitsprüfung. Umwelt-Vollzug Nr. 0923,
Bern. 156 S.
- Leitfäden zur UVP (werden in der Vorlesung bekannt gegben)
Voraussetzungen / BesonderesZusatzinformation zum Prüfungsmodus:
kein Taschenrechner erlaubt
KompetenzenKompetenzen
Fachspezifische KompetenzenKonzepte und Theoriengeprüft
Verfahren und Technologiengeprüft
Methodenspezifische KompetenzenAnalytische Kompetenzengeprüft
Entscheidungsfindunggefördert
Medien und digitale Technologiengefördert
Problemlösunggefördert
Soziale KompetenzenKommunikationgeprüft
Kooperation und Teamarbeitgeprüft
Verhandlunggefördert
Persönliche KompetenzenAnpassung und Flexibilitätgefördert
Kreatives Denkengeprüft
Kritisches Denkengeprüft
Selbststeuerung und Selbstmanagement gefördert
103-0357-00LUmweltplanungW3 KP2GC. Rüegsegger, S.‑E. Rabe
KurzbeschreibungIn der Vorlesung werden Instrumente, Methoden und Verfahren der
Landschafts- und Umweltplanung erarbeitet. Mittels Exkursionen wird deren praktische Umsetzung veranschaulicht.
LernzielKenntnis über die verschiedene Instrumente und Möglichkeiten zur praktischen Umsetzung der Umweltplanung.
Kenntnis der vielfältigen Wechselbeziehungen der Instrumente.

In dem Fach "Umweltplanung" werden die Kompetenzen Systemverständnis und Konzeptentwicklung gelehrt und geprüft.
Inhalt- Forstliche Planung
- Inventare
- Eingriff und Ausgleich
- ökologische Vernetzung / Infrastruktur
- Agrarpolitik
- Landschaftsentwicklungskonzept
- Landschaftskonzeptionen
- Pärke
- Landschaftskonzept
- Gewässerraum

Hinweis: Mehrere nicht-obligatorische Exkursionen sind Teil der Lehrveranstaltung. Es wird empfohlen, an diesen teilzunehmen um das vertiefte Verständnis der verschiedenen Themenbereiche zu verbessern.
SkriptDie Vorlesungsfolien sowie Unterlagen externer Referenten, bestehend aus Präsentationsunterlagen der einzelnen Referate, werden auf der Homepage des Fachbereichs PLUS zum Download bereitgestellt.

Download: https://irl.ethz.ch/de/education/vorlesungen/bsc/environmental_planning.html
LiteraturWeitere Literatur/Dokumente werden auf der Homepage des Fachbereichs PLUS zum Download bereitgestellt.

Download: https://irl.ethz.ch/de/education/vorlesungen/bsc/environmental_planning.html
KompetenzenKompetenzen
Fachspezifische KompetenzenKonzepte und Theoriengeprüft
Verfahren und Technologiengeprüft
Methodenspezifische KompetenzenAnalytische Kompetenzengeprüft
Entscheidungsfindunggefördert
Problemlösunggeprüft
Soziale KompetenzenKooperation und Teamarbeitgefördert
Persönliche KompetenzenKritisches Denkengeprüft
151-0102-00LFluiddynamik I Belegung eingeschränkt - Details anzeigen W6 KP4V + 2UT. Rösgen
KurzbeschreibungEs wird eine Einführung in die physikalischen und mathematischen Grundlagen der Fluiddynamik geboten. Themengebiete sind u.a. Dimensionsanalyse, integrale und differentielle Erhaltungsgleichungen, reibungsfreie und -behaftete Strömungen, Navier-Stokes Gleichungen, Grenzschichten, turbulente Rohrströmung. Elementare Lösungen und Beipiele werden päsentiert.
LernzielEinführung in die physikalischen und mathematischen Grundlagen der Fluiddynamik. Vertrautmachen mit den Grundbegriffen, Anwendungen auf einfache Probleme.
InhaltPhänomene, Anwendungen, Grundfragen
Dimensionsanalyse und Ähnlichkeit; Kinematische Beschreibung; Erhaltungssätze (Masse, Impuls, Energie), integrale und differentielle Formulierungen; Reibungsfreie Strömungen: Euler-Gleichungen, Stromfadentheorie, Satz von Bernoulli; Reibungsbehaftete Strömungen: Navier-Stokes-Gleichungen; Grenzschichten; Turbulenz
SkriptEin Skript (erweiterte Formelsammlung) zur Vorlesung wird elektronisch zur Verfügung gestellt.
LiteraturEmpfohlenes Buch: Fluid Mechanics, Kundu & Cohen & Dowling, 6th ed., Academic Press / Elsevier (2015).
Voraussetzungen / BesonderesVoraussetzungen: Physik, Analysis
151-0212-00LAdvanced CFD MethodsW4 KP2V + 1UP. Jenny
KurzbeschreibungFundamental and advanced numerical methods used in commercial and open-source CFD codes will be explained. The main focus is on numerical methods for conservation laws with discontinuities, which is relevant for trans- and hypersonic gas dynamics problems, but also CFD of incompressible flows, Direct Simulation Monte Carlo and the Lattice Boltzmann method are explained.
LernzielKnowing what's behind a state-of-the-art CFD code is not only important for developers, but also for users in order to choose the right methods and to achieve meaningful and accurate numerical results. Acquiring this knowledge is the main goal of this course.

Established numerical methods to solve the incompressible and compressible Navier-Stokes equations are explained, whereas the focus lies on finite volume methods for compressible flow simulations. In that context, first the main theory and then numerical schemes related to hyperbolic conservation laws are explained, whereas not only examples from fluid mechanics, but also simpler, yet illustrative ones are considered (e.g. Burgers and traffic flow equations). In addition, two less commonly used yet powerful approaches, i.e., the Direct Simulation Monte Carlo (DSMC) and Lattice Boltzmann methods, are introduced.

For most exercises a C++ code will have to be modified and applied.
Inhalt- Finite-difference vs. finite-element vs. finite-volume methods
- Basic approach to simulate incompressible flows
- Brief introduction to turbulence modeling
- Theory and numerical methods for compressible flow simulations
- Direct Simulation Monte Carlo (DSMC)
- Lattice Boltzmann method
SkriptPart of the course is based on the referenced books. In addition, the participants receive a manuscript and the slides.
Literatur"Computational Fluid Dynamics" by H. K. Versteeg and W. Malalasekera.
"Finite Volume Methods for Hyperbolic Problems" by R. J. Leveque.
Voraussetzungen / BesonderesBasic knowledge in
- fluid dynamics
- numerical mathematics
- programming (programming language is not important, but C++ is of advantage)
151-0318-00LEcodesign - Umweltgerechte ProduktgestaltungW4 KP3GR. Züst
KurzbeschreibungEcodesign hat zum Ziel, die Umweltleistung von Produkten insgesamt zu verbessern. Zugleich soll die ökonomische und marktseitige Situation verbessert werden.
Die Vorlesung gliedert sich in drei Teile: Motivation und Einstieg ins Thema, methodische Grundlagen, sowie Anwendung in einem eigenen Kleinprojekt.
LernzielEs setzt sich die Erkenntnis durch, dass ein bedeutender Teil der Umweltbelastungen eines Unternehmens durch die eigenen Produkte in vor- und nachgelagerten Bereichen verursacht werden. Das Ziel von Ecodesign besteht darin, die Umweltauswirkungen eines Produktes über alle Produktlebensphasen insgesamt zu reduzieren. Die systematische Herleitung erfolgversprechender Verbesserungsmaßnahmen zu Beginn des Produktentwicklungsprozesses ist eine Schlüsselfähigkeit, die in der vorliegenden Vorlesung vermittelt werden soll.
Die Teilnehmerinnen und Teilnehmer sollen die ökonomischen und ökologischen Potentiale von ECODESIGN erkennen, Fähigkeiten erlernen, zielgerichtet erfolgversprechende Verbesserungsmaßnahmen zu ermitteln und die erworbenen Fähigkeiten an konkreten Beispielen anwenden können.
InhaltDie Vorlesung ist in drei Blöcke unterteilt. Hier sollen die jeweiligen Fragen beantwortet werden:
A) Motivation und Einstieg ins Thema: Welche Material- und Energieflüsse werden durch Produkte über alle Lebensphasen, d.h. von der Rohstoffgewinnung, Herstellung, Distribution, Nutzung und Entsorgungen verursacht? Welchen Einfluss hat die Produktentwicklung auf diese Auswirkungen?
B) Grundlagen zum ECODESIGN PILOT: Wie können systematisch – über alle Produktlebensphasen hinweg betrachtet – bereits zu Beginn der Produktentwicklung bedeutende Umweltauswirkungen erkannt werden? Wie können zielgerichtet diejenigen Ecodesign-Maßnahmen ermittelt werden, die das größte ökonomische und ökologische Verbesserungspotential beinhalten?
C) Anwendung des ECODESIGN PILOT: Welche Produktlebensphasen bewirken den größten Ressourcenverbrauch? Welche Verbesserungsmöglichkeiten bewirken einen möglichst großen ökonomischen und ökologischen Nutzen?
Im Rahmen der Vorlesung werden verschiedene Praktische Beispiel bearbeitet.
SkriptFür den Einstieg ins Thema ECODESIGN wurde verschiedene Lehrunterlagen entwickelt, die im Kurs zur Verfügung stehen und teilwesie auch ein "distance learning" ermöglichen:

Lehrbuch: Wimmer W., Züst R.: ECODESIGN PILOT, Produkt-Innovations-, Lern- und Optimierungs-Tool für umweltgerechte Produktgestaltung mit deutsch/englischer CD-ROM; Zürich, Verlag Industrielle Organisation, 2001. ISBN 3-85743-707-3

CD: im Lehrbuch inbegriffen (oder Teil "Anwenden" on-line via: www.ecodesign.at)
Internet: www.ecodesign.at vermittelt verschiedene weitere Zugänge zum Thema. Zudem werden CD's abgegeben, auf denen weitere Lehrmodule vorhanden sind.
LiteraturHinweise auf Literaturen werden on-line zur Verfügung gestellt.
Voraussetzungen / BesonderesTestatbedingungen: Abgabe von zwei Übungen
227-0216-00LControl Systems II Information W6 KP4GR. Smith
KurzbeschreibungIntroduction to basic and advanced concepts of modern feedback control.
LernzielIntroduction to basic and advanced concepts of modern feedback control.
InhaltThis course is designed as a direct continuation of the course "Regelsysteme" (Control Systems). The primary goal is to further familiarize students with various dynamic phenomena and their implications for the analysis and design of feedback controllers. Simplifying assumptions on the underlying plant that were made in the course "Regelsysteme" are relaxed, and advanced concepts and techniques that allow the treatment of typical industrial control problems are presented. Topics include control of systems with multiple inputs and outputs, control of uncertain systems (robustness issues), limits of achievable performance, and controller implementation issues.
SkriptThe slides of the lecture are available to download.
LiteraturSkogestad, Postlethwaite: Multivariable Feedback Control - Analysis and Design. Second Edition. John Wiley, 2005.
Voraussetzungen / BesonderesPrerequisites:
Control Systems or equivalent
151-0660-00LModel Predictive Control Information W4 KP2V + 1UM. Zeilinger
KurzbeschreibungModel predictive control is a flexible paradigm that defines the control law as an optimization problem, enabling the specification of time-domain objectives, high performance control of complex multivariable systems and the ability to explicitly enforce constraints on system behavior. This course provides an introduction to the theory and practice of MPC.
LernzielDesign and implement Model Predictive Controllers (MPC) for various system classes to provide high performance controllers with desired properties (stability, tracking, robustness,..) for constrained systems.
Inhalt- Review of required optimal control theory
- Basics on optimization
- Receding-horizon control (MPC) for constrained linear systems
- Theoretical properties of MPC: Constraint satisfaction and stability
- Computation: Explicit and online MPC
- Practical issues: Tracking and offset-free control of constrained systems, soft constraints
- Robust MPC: Robust constraint satisfaction
- Simulation-based project providing practical experience with MPC
SkriptScript / lecture notes will be provided.
Voraussetzungen / BesonderesOne semester course on automatic control, Matlab, linear algebra.
Courses on signals and systems and system modeling are recommended. Important concepts to start the course: State-space modeling, basic concepts of stability, linear quadratic regulation / unconstrained optimal control.

Expected student activities: Participation in lectures, exercises and course project; homework (~2hrs/week).
227-0478-00LAcoustics II Information W6 KP4GK. Heutschi, R. Pieren
KurzbeschreibungAdvanced knowledge of the functioning and application of electro-acoustic transducers.
LernzielAdvanced knowledge of the functioning and application of electro-acoustic transducers.
InhaltElectrical, mechanical and acoustical analogies. Transducers, microphones and loudspeakers, acoustics of musical instruments, sound recording, sound reproduction, digital audio.
Skriptavailable
363-0514-00LEnergy Economics and Policy
It is recommended for students to have taken a course in introductory microeconomics. If not, they should be familiar with microeconomics as in, for example,"Microeconomics" by Mankiw & Taylor and the appendices 4 and 7 of the book "Microeconomics" by Pindyck & Rubinfeld.
W3 KP2GM. Filippini, S. Srinivasan
KurzbeschreibungAn introduction to energy economics and policy that covers the following topics: energy demand, investment in energy efficiency, investment in renewables, energy markets, market failures and behavioral anomalies, market-based and non-market based energy and climate policy instruments in industrialized and developing countries.
LernzielThe students will develop an understanding of economic principles and tools necessary to analyze energy issues and to understand energy and climate policy instruments. Emphasis will be put on empirical analysis of energy demand and supply, market failures, behavioral anomalies, energy and climate policy instruments in industrialized and developing countries, and investments in renewables and in energy-efficient technologies.
InhaltThe course provides an introduction to energy economics principles and policy applications. The first part of the course will introduce the microeconomic foundation of energy demand and supply as well as market failures and behavioral anomalies. In a second part, we introduce the concept of investment analysis (such as the NPV) in the context of renewable and energy-efficient technologies. In the last part, we use the previously introduced concepts to analyze energy policies: from a government perspective, we discuss the mechanisms and implications of market oriented and non-market oriented policy instruments as well as applications in developing countries.

Throughout the entire course, we combine the material with insights from current research in energy economics. This combination will enable students to understand standard scientific literature in the field of energy economics and policy. Moreover, the class aims to show students how to relate current issues in the energy and climate spheres that influence industrialized and developing countries to insights from energy economics and policy.

Course evaluation: at the end of the course, there will be a written exam covering the topics of the course.
Voraussetzungen / BesonderesIt is recommended for students to have taken a course in introductory microeconomics. If not, they should be familiar with microeconomics as in, for example, "Microeconomics" by Mankiw & Taylor and the appendices 4 and 7 of the book "Microeconomics" by Pindyck & Rubinfeld.
363-1000-00LFinancial EconomicsW3 KP2VA. Bommier, C. Daminato
KurzbeschreibungThis is a theoretical course on the economics of financial decision making, at the crossroads between Microeconomics and Finance. It discusses portfolio choice theory, risk sharing, market equilibrium and asset pricing.
LernzielThe objective is to make students familiar with the economics of financial decision making and develop their intuition regarding the determination of asset prices, the notions of optimal risk sharing. However this is not a practical formation for traders. Moreover, the lecture doesn't cover topics such as market irrationality or systemic risk.

After completing this course:
1. Students will be familiar with the economics of financial decision making and develop their intuition regarding the determination of asset prices;
2. Students will understand the intuition of market equilibrium. They will be able to solve the market equilibrium in a simple model and derive the prices of assets.
3. Students will be familiar with the representation of attitudes towards risk. They will be able to explain how risk, wealth and agents’ preferences affect the demand for assets.
4. Students will understand the notion of risk diversification.
5. Students will understand the notion of optimal risk sharing.
InhaltThe following topics will be discussed:
1. Introduction to financial assets: The first lecture provides an overview of most common financial assets. We will also discuss the formation of asset prices and the role of markets in the valuation of these assets.

2. Option valuation: this lecture focuses on options, which are a certain type of financial asset. You will learn about arbitrage, which is a key notion to understand the valuation of options. This lecture will give you the intuition of the mechanisms underlying the pricing of assets in more general settings.

3. Introduction to the economic analysis of asset markets: this chapter will familiarize you with the notion of market equilibrium and the role it plays concerning asset pricing. Relying on economic theory, we will consider the properties of the market equilibrium: In which cases does the equilibrium exist? Is it optimal? How does it depend on individual’s wealth and preferences? The concepts defined in this chapter are essential to understand the following parts of the course.

4. A simplified approach to asset markets: based on the notions introduced in the previous lectures, you will learn about the key concepts necessary to understand financial markets, such as market completeness and the no-arbitrage theorem.

5. Choice under uncertainty: this class covers fundamental concepts concerning agents’ decisions when facing risk. These models are crucial to understand how the demand for financial assets originates.

6. Demand for risk: Building up on the previous chapters, we will study portfolio choice in a simplified setting. We will discuss how asset demand varies with risk, agent’s preferences and wealth.

7. Asset prices in a simplified context: We will focus on the portfolio choices of an investor, in a particular setting called mean-variance analysis. The mean-variance analysis will be a first step to introduce the notion of risk diversification, which is essential in finance.

8. Risk sharing and insurance: in this lecture, you will understand that risk can be shared among different agents and how, under certain conditions, this sharing can be optimal. You will learn about the distinction between individual idiosyncratic risk and macroeconomic risk.

9. Risk sharing and asset prices in a market equilibrium: this course builds up on previous lessons and presents the consumption-based Capital Asset Pricing Model (CAPM). The focus will be on how consumption, assets and prices are determined in equilibrium.
LiteraturMain reading material:

- "Investments", by Z. Bodie, A. Kane and A. Marcus, for the
introductory part of the course (see chapters 20 and 21 in
particular).
- "Finance and the Economics of Uncertainty" by G. Demange and G. Laroque, Blackwell, 2006.
- "The Economics of Risk and Time", by C. Gollier, MIT Press, 2001.

Other readings:
- "Intermediate Financial Theory" by J.-P. Danthine and J.B. Donaldson.
- Ingersoll, J., E., Theory of Financial Decision Making, Rowman and Littlefield Publishers.
- Leroy S and J. Werner, Principles of Financial Economics, Cambridge University Press, 2001
Voraussetzungen / BesonderesBasic mathematical skills needed (calculus, linear algebra, convex analysis). Students must be able to solve simple optimization problems (e.g. Lagrangian methods). Some knowledge in microeconomics would help but is not compulsory. The bases will be covered in class.
402-0812-00LComputational Statistical Physics Information W8 KP2V + 2UM. Krstic Marinkovic
KurzbeschreibungSimulationsmethoden in der statistischen Physik. Klassische Monte-Carlo-Simulationen: finite-size scaling, Clusteralgorithmen, Histogramm-Methoden, Renormierungsgruppe. Anwendung auf Boltzmann-Maschinen. Simulation von Nichtgleichgewichtssystemen.

Molekulardynamik-Simulationen: langreichweitige Wechselwirkungen, Ewald-Summation, diskrete Elemente, Parallelisierung.
LernzielDie Vorlesung ist eine Vertiefung von Simulationsmethoden in der statistischen Physik, und daher ideal als Fortführung der Veranstaltung "Introduction to Computational Physics" des Herbstsemesters. Im ersten Teil lernen Studenten die folgenden Methoden anzuwenden: Klassische Monte-Carlo-Simulationen, finite-size scaling, Clusteralgorithmen, Histogramm-Methoden, Renormierungsgruppe. Ausserdem lernen Studenten die Anwendung der Methoden aus der Statistischen Physik auf Boltzmann-Maschinen kennen und lernen wie Nichtgleichgewichtssysteme simuliert werden.

Im zweiten Teil wenden die Studenten Methoden zur Simulation von Molekulardynamiken an. Das beinhaltet unter anderem auch langreichweitige Wechselwirkungen, Ewald-Summation und diskrete Elemente.
InhaltSimulationsmethoden in der statistischen Physik. Klassische Monte-Carlo-Simulationen: finite-size scaling, Clusteralgorithmen, Histogramm-Methoden, Renormierungsgruppe. Anwendung auf Boltzmann-Maschinen. Simulation von Nichtgleichgewichtssystemen. Molekulardynamik-Simulationen: langreichweitige Wechselwirkungen, Ewald-Summation, diskrete Elemente, Parallelisierung.
SkriptSkript und Folien sind online verfügbar und werden bei Bedarf verteilt.
LiteraturLiteraturempfehlungen und Referenzen sind im Skript enthalten.
Voraussetzungen / BesonderesGrundlagenwissen in der Statistischen Physik, Klassischen Mechanik und im Bereich der Rechnergestützten Methoden ist empfohlen.
529-0191-01LElectrochemical Energy Conversion and Storage TechnologiesW4 KP3GL. Gubler, E. Fabbri, J. Herranz Salañer
KurzbeschreibungThe course provides an introduction to the principles and applications of electrochemical energy conversion (e.g. fuel cells) and storage (e.g. batteries) technologies in the broader context of a renewable energy system.
LernzielStudents will discover the importance of electrochemical energy conversion and storage in energy systems of today and the future, specifically in the framework of renewable energy scenarios. Basics and key features of electrochemical devices will be discussed, and applications in the context of the overall energy system will be highlighted with focus on future mobility technologies and grid-scale energy storage. Finally, the role of (electro)chemical processes in power-to-X and deep decarbonization concepts will be elaborated.
InhaltOverview of energy utilization: past, present and future, globally and locally; today’s and future challenges for the energy system; climate changes; renewable energy scenarios; introduction to electrochemistry; electrochemical devices, basics and their applications: batteries, fuel cells, electrolyzers, flow batteries, supercapacitors, chemical energy carriers: hydrogen & synthetic natural gas; electromobility; grid-scale energy storage, power-to-gas, power-to-X and deep decarbonization, techno-economics and life cycle analysis.
Skriptall lecture materials will be available for download on the course website.
LiteraturTextbook recommendations for advanced studies on the topics of the course:
- M. Sterner, I. Stadler (Eds.): Handbook of Energy Storage (Springer, 2019).
- C.H. Hamann, A. Hamnett, W. Vielstich; Electrochemistry, Wiley-VCH (2007).
- T.F. Fuller, J.N. Harb: Electrochemical Engineering, Wiley (2018)
Voraussetzungen / BesonderesBasic physical chemistry background required, prior knowledge of electrochemistry basics desired.
101-0178-01LUncertainty Quantification in Engineering Information W3 KP2GB. Sudret
KurzbeschreibungUncertainty quantification aims at studying the impact of aleatory and epistemic uncertainty onto computational models used in science and engineering. The course introduces the basic concepts of uncertainty quantification: probabilistic modelling of data (copula theory), uncertainty propagation techniques (Monte Carlo simulation, polynomial chaos expansions), and sensitivity analysis.
LernzielAfter this course students will be able to properly pose an uncertainty quantification problem, select the appropriate computational methods and interpret the results in meaningful statements for field scientists, engineers and decision makers. The course is suitable for any master/Ph.D. student in engineering or natural sciences, physics, mathematics, computer science with a basic knowledge in probability theory.
InhaltThe course introduces uncertainty quantification through a set of practical case studies that come from civil, mechanical, nuclear and electrical engineering, from which a general framework is introduced. The course in then divided into three blocks: probabilistic modelling (introduction to copula theory), uncertainty propagation (Monte Carlo simulation and polynomial chaos expansions) and sensitivity analysis (correlation measures, Sobol' indices). Each block contains lectures and tutorials using Matlab and the in-house software UQLab (www.uqlab.com).
SkriptDetailed slides are provided for each lecture. A printed script gathering all the lecture slides may be bought at the beginning of the semester.
Voraussetzungen / BesonderesA basic background in probability theory and statistics (bachelor level) is required. A summary of useful notions will be handed out at the beginning of the course.

A good knowledge of Matlab is required to participate in the tutorials and for the mini-project.
363-1038-00LSustainability Start-Up Seminar Belegung eingeschränkt - Details anzeigen
Number of participants limited to 30.
W3 KP2GA. H. Sägesser
KurzbeschreibungParticipants are lead through a venturing process inspired by Lean and Design Thinking and social innovation methodologies. The course contains problem identification, idea generation and evaluation, team formation, and the development of one entrepreneurial idea per team. Starting points for entrepreneurial ideas are the climate crisis and biodiversity loss.
Lernziel1. Students have experienced and know how to take the first steps towards co-creating a venture and potentially company
2. Students reflect deeply on sustainability issues (with a focus on climate change & biodiversity) and can formulate a problem statement
3. Students believe in their ability to bring change to the world with their own ideas
4. Students are able to apply entrepreneurial practices such as e.g. the lean startup approach
5. Students have built a first network and know how to proceed and who to approach in case they would like to take their ventures further.
InhaltThis course is aimed at people with a keen interest to address sustainability issues (with a focus on climate crisis and biodiversity loss), with a curious mindset, and potentially first ideas for entrepreneurial action!

The seminar consists of a mix of lectures, workshops, individual working sessions, teamwork, and student presentations/pitches. This class is taught by a reflective practitioner of entrepreneurial action for societal transformation. Real-world climate entrepreneurs and experts from the Swiss start-up and sustainability community will be invited to support individual sessions.

All course content is based on latest international entrepreneurship practices and contains continuous processes of self- and world making.

The seminar starts with an introduction to sustainability (with a special focus on climate change & biodiversity) and entrepreneurship. Students are asked to self-select into an area of their interest in which they will develop entrepreneurial ideas throughout the course.

The first part of the course then focuses on deeply understanding sustainability problems within the area of interest. Through workshops and self-study, students will identify key design challenges, generate ideas, as well as provide systematic and constructive feedback to their peers.

In the second part of the course, students will form teams around their generated ideas. In these teams they will develop a business model and, following the lean start-up process, conduct real-life testing, as well as pivoting of these business models.

In the final part of the course, students present their insights gained from the lean start-up process, as well as pitch their entrepreneurial ideas and business models to an expert jury. The course will conclude with a session that provides students with a network and resources to further pursue their entrepreneurial journey.
SkriptAll material used will be made available to the participants.
LiteraturNo pre-reading required.
Voraussetzungen / BesonderesPrerequisite:
Interest in sustainability & entrepreneurship and readiness to open up, share and reflect deeply.

Notes:
1. It is not required that participants already have an idea for entrepreneurial action at the beginning of the course.
2. Focus is on entrepreneurial action which can take many forms. Eg. startup, SME, campaign, intrapreneurial action, non-profit, ...
2. No legal entities (e.g. GmbH, Association, AG) need to be founded for this course.

Target participants:
PhD students, Msc students and MAS students from all departments. The number of participants is limited to max.24.

Waiting list:
After subscribing you will be added to the waiting list.
The lecturer will contact you a few weeks before the start of the seminar to confirm your interest and to ensure a good mixture of study backgrounds, only then you're accepted to the course.
KompetenzenKompetenzen
Fachspezifische KompetenzenKonzepte und Theoriengefördert
Verfahren und Technologiengefördert
Methodenspezifische KompetenzenAnalytische Kompetenzengeprüft
Entscheidungsfindunggeprüft
Medien und digitale Technologiengefördert
Problemlösunggeprüft
Projektmanagementgefördert
Soziale KompetenzenKommunikationgeprüft
Kooperation und Teamarbeitgeprüft
Kundenorientierunggeprüft
Menschenführung und Verantwortunggefördert
Selbstdarstellung und soziale Einflussnahmegefördert
Sensibilität für Vielfalt gefördert
Verhandlunggefördert
Persönliche KompetenzenAnpassung und Flexibilitätgeprüft
Kreatives Denkengeprüft
Kritisches Denkengeprüft
Integrität und Arbeitsethikgefördert
Selbstbewusstsein und Selbstreflexion gefördert
Selbststeuerung und Selbstmanagement gefördert
363-1060-00LStrategies for Sustainable Business Belegung eingeschränkt - Details anzeigen
Limited number of participants.

Registration will only be effective once confirmed by email from the organizers.
W2 KP2SJ. Meuer
KurzbeschreibungIn this course, students will learn to critically analyze strategies for sustainable business through exploring case studies on three main questions:
1. What is sustainability in business?
2. How do I design a sustainability strategy?
3. How do I implement a sustainability strategy?
LernzielAfter the course, you should be able to:

1. Understand and explain sustainability challenges companies are facing;
2. Critique sustainability and related strategies;
3. Evaluate decisions taken by managers;
4. Suggest alternative approaches;
5. Develop action plans;
6. Reflect on strategies for sustainability in their own organizations.

You will also learn to apply a range of strategy concepts to sustainability challenges, including leadership, stakeholder management, diversification, and organizational change.
InhaltAlthough many companies nowadays report on their sustainability actions, only few successfully integrate sustainability into their business operations. In this seminar, we will cover three main questions that will help you to critically analyze and develop strategies for sustainable business:
1. What is sustainability in business?
2. How do I design a sustainability strategy?
3. How do I implement a sustainability strategy?

We teach the course with the case method developed at Harvard Business School. The case studies will allow us to explore from multiple perspectives the many tensions involved in developing strategies for sustainable business. We will distribute case study materials before the sessions, as well as guidelines on how best to efficiently and effectively prepare for case study discussions. You will need to read the materials and to submit short assignments before each class.

The sessions are interactive and allow you to step into the role of decision-makers as they face key challenges in integrating sustainability. For example, we will look at the challenges of Fairphone in combining both social and economic goals. Why and how would Patagonia want to encourage customers to buy less rather than more clothing? We also step into the shoes of RWE's CEO Peter Terium as he grapples with ensuring a profitable and sustainable future for the German utility. And using a change management simulation, you will experience why certain approaches to implementing a sustainability initiative in an organization are more successful than others. Our case discussions will help you to apply strategy concepts to real-world sustainability problems and will also serve as a basis for thinking about sustainability in your own company.
LiteraturWe will provide case study material and guidelines for analyzing cases to participants by email several weeks before the seminar.
Voraussetzungen / BesonderesAfter signing up you will first be placed on the waiting list. We will contact all students on the waiting list by 1 March 2019 to confirm their participation in the seminar. If you have any questions, please don't hesitate to contact Johannes Meuer (jmeuer@ethz.ch).
252-0220-00LIntroduction to Machine Learning Information Belegung eingeschränkt - Details anzeigen
Limited number of participants. Preference is given to students in programmes in which the course is being offered. All other students will be waitlisted. Please do not contact Prof. Krause for any questions in this regard. If necessary, please contact studiensekretariat@inf.ethz.ch
W8 KP4V + 2U + 1AA. Krause, F. Yang
KurzbeschreibungThe course introduces the foundations of learning and making predictions based on data.
LernzielThe course will introduce the foundations of learning and making predictions from data. We will study basic concepts such as trading goodness of fit and model complexitiy. We will discuss important machine learning algorithms used in practice, and provide hands-on experience in a course project.
Inhalt- Linear regression (overfitting, cross-validation/bootstrap, model selection, regularization, [stochastic] gradient descent)
- Linear classification: Logistic regression (feature selection, sparsity, multi-class)
- Kernels and the kernel trick (Properties of kernels; applications to linear and logistic regression); k-nearest neighbor
- Neural networks (backpropagation, regularization, convolutional neural networks)
- Unsupervised learning (k-means, PCA, neural network autoencoders)
- The statistical perspective (regularization as prior; loss as likelihood; learning as MAP inference)
- Statistical decision theory (decision making based on statistical models and utility functions)
- Discriminative vs. generative modeling (benefits and challenges in modeling joint vy. conditional distributions)
- Bayes' classifiers (Naive Bayes, Gaussian Bayes; MLE)
- Bayesian approaches to unsupervised learning (Gaussian mixtures, EM)
LiteraturTextbook: Kevin Murphy, Machine Learning: A Probabilistic Perspective, MIT Press
Voraussetzungen / BesonderesDesigned to provide a basis for following courses:
- Advanced Machine Learning
- Deep Learning
- Probabilistic Artificial Intelligence
- Seminar "Advanced Topics in Machine Learning"
151-0306-00LVisualization, Simulation and Interaction - Virtual Reality I Information W4 KP4GA. Kunz
KurzbeschreibungTechnologie der virtuellen Realität. Menschliche Faktoren, Erzeugung virtueller Welten, Beleuchtungsmodelle, Display- und Beschallungssysteme, Tracking, haptische/taktile Interaktion, Motion Platforms, virtuelle Prototypen, Datenaustausch, VR-Komplettsysteme, Augmented Reality; Kollaborationssysteme; VR und Design; Umsetzung der VR in der Industrie; Human COmputer Interfaces (HCI).
LernzielDie Studierenden erhalten einen Überblick über die virtuelle Realität, sowohl aus technischer als auch aus informationstechnologischer Sicht. Sie lernen unterschiedliche Software- und Hardwareelemente kennen sowie deren Einsatzmöglichkeiten im Geschäftsprozess. Die Studierenden entwickeln eine Kenntnis darüber, wo sich heute die virtuelle Realität nutzbringend einsetzen lässt und wo noch weiterer Forschungsbedarf besteht. Anhand konkreter Programme und Systeme erfahren die Teilnehmer den Umgang mit den erlernten neuen Technologien.
Studierende sind in der Lage:
• gängige VR-Technologien zu evaluieren und die geeignetste für eine gegebene Aufgabe auszuwählen bezüglich der folgenden Gesichtspunkte:
o Visualisierungsmöglichkeiten: Monitore, Projektionssysteme, Datenbrillen
o Positionserfassungssystemen (optisch/elektromagnetisch/mechanisch)
o Interaktionstechnologien: Datenhandschuhe, Möglichkeit des echten Laufens/Erfassung der Augenbewegung/manuelle Interaktion, usw.
• eine VR-Anwendung selbstständig zu entwickeln,
• die VR-Technologie auf industrielle Anforderungen anzuwenden,
• das erlernte Wissen in einer praktischen Anwendung zu vertiefen.
• grundlegende Unterschiede in Anwendung digitaler Welten zu vergleichen (VR/AR/MR/XR)
InhaltDiese Vorlesung gibt eine Einführung in die Technologie der virtuellen Realität als neues Tool zur Bewältigung komplexer Geschäftsprozesse. Es sind die folgenden Themen vorgesehen: Einführung und Geschichte der VR; Eingliederung der VR in die Produktentwicklung; Nutzen von VR für die Industrie; menschliche Faktoren als Grundlage der virtuellen Realität; Einführung in die Erzeugung (Modellierung) virtueller Welten; Beleuchtungsmodelle; Kollisionserkennung; Displaysysteme; Projektionssysteme; Beschallungssysteme; Trackingssysteme; Interaktionsgeräte für die virtuelle Umgebung; haptische und taktile Interaktion; Motion Platforms; Datenhandschuh; physikalisch basierte Simulation; virtuelle Prototypen; Datenaustausch und Datenkommunikation; VR-Komplettsysteme; Augmented Reality; Kollaborationssysteme; VR zur Unterstützung von Designaufgaben; Umsetzung der VR in der Industrie; Ausblick in die laufende Forschung im Bereich VR.

Lehrmodule:
- Geschichte der VR und Definition der wichtigsten Begriffe
- Einordnung der VR in Geschäftsprozesse
- Die Erzeugung virtueller Welten
- Geräte und Technologien für die immersive virtuelle Realität
- Anwendungen der VR in unterschiedlichsten Gebieten
SkriptDie Durchführung der Lehrveranstaltung erfolgt gemischt mit Vorlesungs- und Übungsanteilen.
Die Vorlesung kann auf Wunsch in Englisch erfolgen. Das Skript ist ebenfalls in Englisch verfügbar.
Skript, Handout; Kosten SFr.30.-
Voraussetzungen / BesonderesVoraussetzungen: keine
Vorlesung geeignet für D-MAVT, D-ITET, D-MTEC und D-INF

Testat/ Kredit-Bedingungen/ Prüfung:
–Teilnahme an Vorlesung und Kolloquien
–Erfolgreiche Durchführung von Übungen in Teams
376-1178-00LHuman Factors IIW3 KP2VM. Menozzi Jäckli, R. Huang, M. Siegrist
KurzbeschreibungStrategies, abilities and needs of human at work as well as properties of products and systems are factors controlling quality and performance in everyday interactions. In Human Factors II (HF II), cognitive aspects are in focus therefore complementing the more physical oriented approach in HF I. A basic scientific approach is adopted and relevant links to practice are illustrated.
LernzielThe goal of the lecture is to empower students in designing products and systems enabling an efficient and qualitatively high standing interaction between human and the environment, considering costs, benefits, health, well-being, and safety as well. The goal is achieved in addressing a broad variety of topics and embedding the discussion in macroscopic factors such as the behavior of consumers and objectives of economy.
InhaltCognitive factors in perception, information processing and action. Experimental techniques in assessing human performance and well-being, human factors and ergonomics in development of products and complex systems, innovation, decision taking, consumer behavior and user experience.
Literatur- Salvendy G. (ed), Handbook of Human Factors, Wiley & Sons, 2012
- Stanton N.A. et al., Cognitive Work Analysis, CRC Press, 2017
- Further textbooks are introduced in the lecture
101-0523-00LIndustrialized Construction Belegung eingeschränkt - Details anzeigen
Findet dieses Semester nicht statt.
W4 KP3GD. Hall
KurzbeschreibungThis course offers an introduction and overview to Industrialized Construction, a rapidly-emerging concept in the construction industry. The course will present the driving forces, concepts, technologies, and managerial aspects of Industrialized Construction, with an emphasis on current industry applications and future entrepreneurial opportunities in the field.
LernzielBy the end of the course, students should be able to:
1. Describe the characteristics of the nine integrated areas of industrialized construction: planning and control of processes; developed technical systems; prefabrication; long-term relations; logistics; use of ICT; re-use of experience and measurements; customer and market focus; continuous improvement.
2. Assess case studies on successful or failed industry implementations of industrialized construction in Europe, Japan and North America.
3. Propose a framework for a new industrialized construction company for a segment of the industrialized construction market (e.g. housing, commercial, schools) including the company’s business model, technical platform, and supply chain strategy.
4. Identify future trends in industrialized construction including the use of design automation, digital fabrication, and Industry 4.0.
InhaltThe application of Industrialized Construction - also referred to as prefabrication, offsite building, or modular construction – is rapidly increasing in the industry. Although the promise of industrialized construction has long gone unrealized, several market indicators show that this method of construction is quickly growing around the world. Industrialized Construction offers potential for increased productivity, efficiency, innovation, and safety on the construction site. The course will present the driving forces, concepts, technologies, and managerial aspects of Industrialized Construction. The course unpacks project-orientated vs. product-oriented approaches while showcasing process and technology platforms used by companies in Europe, the UK, Japan, and North America. The course highlights future business models and entrepreneurial opportunities for new industrialized construction ventures.

The course is organized around a group project carried out in teams of 3-4. Each specific class will include some theory about industrialized construction from a strategic and/or technological perspective. There will be several external guest lectures as well. During the last hour of the course, students will work in project teams to propose a framework for a new industrialized construction venture. The teams will need to determine their new company’s product offering, business model, technical platform, technology solutions, and supply chain strategy.

It is intended to hold a group excursion to a factory for a 1/2 day visit. However in 2021, this will be determined pending the status of COVID-19 restrictions. planned course activities include a 1/2 day factory visit Students who are unable to attend the visit can make up participation through independent research and the writing of a short paper.
LiteraturA full list of required readings will be made available to the students via Moodle.
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