Suchergebnis: Katalogdaten im Frühjahrssemester 2020

Integrated Building Systems Master Information
066-0418-00LWhole Building Simulation Belegung eingeschränkt - Details anzeigen
Limited number of participants.
Priority will be given to MBS students.
W3 KP3GK. Orehounig, J. Allan
KurzbeschreibungThis course discusses the application of whole building simulation in the design, operation, and retrofitting process of buildings and districts.
Lernziel- Understand energy and mass conservation principles in the analysis of energy performance of buildings;
- Use of building simulation in design, operation, and retrofitting process of buildings and districts;
- Integrating HVAC, renewable energy, storage technologies and district energy systems
- Annual simulations, system selection and sizing, heating and cooling calculations, summer comfort calculations
- Understand differences between building and district scale simulation
- Obtaining and interpreting simulation results, parametric studies and optimization results
Voraussetzungen / BesonderesOnly a restricted number of places is available for this course. Priority will be given to MBS students. Please send an email to the lecturer after signing up in mystudies (if you are not a MBS student).
101-0588-01LRe-/Source the Built EnvironmentW3 KP2SG. Habert
KurzbeschreibungThe course focuses on material choice and energy strategies to limit the environmental impact of construction sector. During the course, specific topics will be presented (construction technologies, environmental policies, social consequences of material use, etc.). The course aims to present sustainable options to tackle the global challenge we are facing and show that "it is not too late".
LernzielAfter the lecture series, the students are aware of the main challenges for the production and use of building materials.

They know the different technologies/propositions available, and environmental consequence of a choice.

They understand in which conditions/context one resource/technology will be more appropriate than another
InhaltA general presentation of the global context allows to identify the objectives that as engineer, material scientist or architect needs to achieve to create a sustainable built environment.

The course is then conducted as a serie of guest lectures focusing on one specific aspect to tackle this global challenge and show that "it is not too late".

The lecture series is divided as follows:
- General presentation
- Notion of resource depletion, resilience, criticality, decoupling, etc.
- Guest lectures covering different resources and proposing different option to build or maintain a sustainable built environment.
SkriptFor each lecture slides will be provided.
Voraussetzungen / BesonderesThe lecture series will be conducted in English and is aimed at students of master's programs, particularly the departments ARCH, BAUG, ITET, MAVT, MTEC and USYS.

No lecture will be given during Seminar week.
227-0680-00LBuilding Control and AutomationW3 KP2V + 2UF. Bünning, J. Lygeros, A. Bollinger, C. Gähler, R. Smith
KurzbeschreibungIntroduction to basic concepts from automatic control theory and their application to the control and automation of buildings.
LernzielIntroduce students to fundamental concepts from control theory: State space models, feedback. Demonstrate the application of these concepts to building control for energy efficiency and other objectives.
InhaltIntroduction to modeling
State space models and differential equations
Laplace transforms and basic feedback control
Discrete time systems
Model predictive control for building climate regulation
Regulating building energy consumption and energy hub concepts
Practical implementation of Building Automation (BA) systems:
- Energy-efficient control of room air quality, heating and cooling, domestic hot water, shading, etc.
- Stability and robustness; Cascaded control
Voraussetzungen / BesonderesExposure to ordinary differential equations and Laplace transforms.
066-0420-00LIndoor Environment, Resources and SafetyW3 KP3GA. Frangi, T. Larsen, S. M. Schoenwald
KurzbeschreibungPrinciples of Building Acoustics, Water and Fire safety
LernzielBuilding Acoustics
- Fundamentals of sound: Sound waves, Sound sources and free field sound propagation, Sound descriptors and sound levels
- Sound fields in rooms: Reflection and absorption at boundaries, Diffuse sound fields (reverberation time), Room modes
- Airborne sound transmission through building elements I: Homogenous structures: Monolithic elements, Double leaf elements (walls, windows, ), Linings, toppings and additional layers
- Airborne sound transmission through building elements II: Assembled (lightweight) structures: Double leaf framed elements
- Impact sound transmission through building elements: Impact sources, Floor elements and floor toppings, Introduction structure-borne sound and vibration
- Sound transmission in buildings I: Composite elements, Flanking sound transmission I: Concept of flanking, Monolithic buildings
- Sound transmission in buildings II: Flanking sound transmission II: Lightweight framed buildings, Outline prediction methods, Noise from building systems and installations
- Measurement, Descriptors and Regulations: Standardized measurement techniques and protocols

- water supply: water needs, possible resources, quality requirements for different applications and possible treatment processes
- water distribution: requirements for storage and piping
- wastewater: different type: urine, feces, blackwater, light and heavy greywater, rain water, treatment possibilities, hygienic and comfort requirements
- water cycles
- wastewater as a resource: polishing water, nutrients, energy
- integral solutions off the grid
- water as part of the urban environment and for recreational purposes in cities
- examples

Fire and Safety
- Fire safety objectives and regulations
- Fire safety concepts and measures
- Fire statistics
- Human behavior and escape
- Structural fire safety
- Technical fire safety
- Organizational fire safety
- Risk and probabilistic
- Economy of fire safety measures
066-0422-00LBuilding Systems II Information W3 KP3GA. Schlüter, L. Baldini, V. Dorer, I. Hischier, M. Sulzer
KurzbeschreibungThe course gives an overview of concepts and design of building energy supply and ventilation systems, renewable technologies, thermal comfort, indoor air quality, and integrated systems both on building and on urban scale.
LernzielThe course has the following learning objectives:
- Knowledge of the fundamentals, principles and technologies for building heating and cooling, solar thermal systems, hybrid and mechanical ventilation, BIPV and Smart Energy Systems, Urban Energy Systems
- Knowledge of the integration and interdependencies of building systems and building structure, construction and aesthetics
- Ability to estimate relevant quantities and qualities for heating/ cooling of buildings and the related supply systems
- Ability to evaluate and choose an approach for sustainable heating/cooling, the system and its components
- Synthesis in own integrated design projects
101-0579-00LInfrastructure Management 2: Evaluation ToolsW4 KP2GB. T. Adey, C. Kielhauser
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
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 KP2GS.‑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
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

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
103-0357-00LUmweltplanung Information W3 KP2GM. Sudau, 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.
Inhalt- Forstliche Planung
- Inventare
- Eingriff und Ausgleich
- ökologische Vernetzung
- Agrarpolitik
- Landschaftsentwicklungskonzept
- Pärke
- Landschaftskonzept
- Gewässerraum
- Naturgefahren
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.

Voraussetzungen / BesonderesZusatzinformation zum Prüfungsmodus:
Kein Taschenrechner erlaubt
151-0102-00LFluiddynamik IW6 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:
Internet: 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 and covers advanced topics.
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
- Nonlinear MPC: Theory and computation
- Hybrid MPC: Modeling hybrid systems and logic, mixed-integer optimization
- 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
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.
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
KurzbeschreibungAn introduction to energy economics and policy that covers the following topics: energy demand, economics of energy efficiency, investments and cost analysis, energy markets (fossil fuels,electricity and renewable energy sources), market failures and behavioral anomalies, market-based and non-market based energy policy instruments and regulation of energy industries.
LernzielThe students will develop the understanding of economic principles and tools necessary to analyze energy issues and to formulate energy policy instruments. Emphasis will be put on empirical analysis of energy demand and supply, market failures, behavioral anomalies, energy policy instruments, investments in power plants and in energy efficiency technologies and the reform of the electric power sector.
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 energy efficient investments. 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 the regulation of energy industries.

Throughout the entire class, we combine the course 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. Moreover, the class aims to show students how to put real life situations in the energy sector in the context of insights from energy economics.

During the first part of the course a set of environmental and resource economics tools will be given to students through lectures. The applied nature of the course is achieved by discussing several papers in a seminar. To this respect, students are required to work in groups in order to prepare a presentation of a paper.

The evaluation policy is designed to verify the knowledge acquired by students during the course. For this purpose, a short group presentation will be graded. At the end of the course there will be a written exam covering the topics of the course. The final grade is obtained by averaging the presentation (20%) and the final exam (80%).
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
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
- "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 + 2UO. Zilberberg
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.
Literatur- 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 KP2GS. Marelli
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 (
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
Maximale Teilnehmerzahl: 30
W3 KP2GA.‑K. Zobel, A. H. Sägesser
KurzbeschreibungExperts lead participants through a venturing process inspired by Lean and Design Thinking methodologies. The course contains problem identification, idea generation and evaluation, team formation, and the development of one entrepreneurial idea per team. A special focus is put on sustainability, in particular on climate change and renewable energy technologies specifically.
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 & energy) 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 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 change and renewable energy), with a curious mindset, and potentially first entrepreneurial ideas!

The seminar consists of a mix of lectures, workshops, individual working sessions, teamwork, and student presentations/pitches. This class will be co-taught by an academic expert (studying innovation, entrepreneurship, and sustainability) and an entrepreneurship and sustainability “practitioner”. 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.

The seminar starts with an introduction to sustainability (with a special focus on climate change & energy) 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 will be made available to the participants.
Voraussetzungen / BesonderesPrerequisite:
Interest in sustainability & entrepreneurship.

1. It is not required that participants already have a business idea at the beginning of the course.
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.30.

Waiting list:
After subscribing you will be added to the waiting list.
The lecturers 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.
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 (
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
W8 KP4V + 2U + 1AA. Krause
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.
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.

- 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.50.-
Voraussetzungen / BesonderesVoraussetzungen:
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
– Mündliche Einzelprüfung 30 Minuten
063-0610-00LThe Digital in ArchitectureW2 KP1V + 2UF. Gramazio, M. Kohler
KurzbeschreibungIn lecture series coupled with a series of taught exercises, the course establishes a conceptual framework of digital fabrication in architecture. The exercises focus on simple yet powerful methods of digital, computational and algorithmic design. Two seminar sessions open a debate on the digital as a driving force of a future building and architecture culture.
LernzielStudents develop an understanding of the digital and its concepts in architecture and of current developments in the field of digital fabrication. Students learn about design strategies based on digital methods and are able to relate these to their own design approach and its wider context at the Department of Architecture. In the exercises, they learn to use Rhino 5 / Grasshopper and write their first code in Python. The aim is to equip students with the necessary intellectual and technical skills that allow them to independently deepen their engagement with the digital in the chosen design studios.
InhaltThe course consists of a lecture series coupled with a series of taught exercises. Departing from the work of Gramazio Kohler Research, the lectures establish a conceptual framework of the digital in architecture with special regard to digital fabrication. The exercises focus on simple yet powerful methods of digital, computational and algorithmic design. Two seminar sessions are dedicated to an open debate on the digital as a driving force of a future building and architecture culture.
Voraussetzungen / BesonderesPool Introduction Event:
Informationon event on all the courses offered by the ITA (Institute of Technology in Architecture):
Monday, 17th February 2020, 11-12 h, HIB Open Space!
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.
LiteraturSalvendy G. (ed), Handbook of Human Factors, Wiley & Sons, 2012
101-0523-00LIndustrialized Construction Belegung eingeschränkt - Details anzeigen 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. The project begins in week 6 of the course, and collaborative group work will occur during the Wednesday sessions. Teams will be required to propose a framework for a new industrialized construction venture including the company’s product offering, business model, technical platform, and supply chain strategy.

The planned course activities include a 1/2 day factory visit (UPDATE confirmed date is Friday, March 20), a tour of the NCCR dfab laboratory, and five reflection assignments. Students who are unable to attend the visits 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.
063-0640-00LAdvanced Computational Design
Limited number of participants.
W3 KP3GB. Dillenburger
KurzbeschreibungIn this course we will discuss how strategies of Artificial Intelligence such as Machine Learning or Evolutionary Strategies can be used in the design process. Principal concepts of computational geometry for architecture will be connected with methods to automatically generate, evaluate and search for design solutions.
LernzielStudents will understand programming basics, and will learn how to control geometry using code. They will learn to translate a design concept into an algorithmic approach - or vice versa - and will obtain an awareness of potentials and limitations of AI in the design phase. Students will deepen their knowledge in customizing existing CAD software such as Rhino using scripting.
InhaltIn this course we will discuss how concepts of Artificial Intelligence can be used in the design process. In tutorials and exercises, we will explore the use strategies such as Machine Learning or Evolutionary Strategies to turn the computer from a drawing instrument into an active partner in design, extending both the imagination and the intuition of the designer.
Voraussetzungen / BesonderesSuccessful completion of the course "Structural Design VI" (063-0606-00L), "Design III" (052-0541/43/45) or "Das Digitale in der Architektur" (063-0610-00L) are recommended
103-0448-01LTransformation of Urban Landscapes
Nur für Master-Studierende, ansonsten ist eine Spezialbewilligung des Dozierenden notwendig.
W3 KP2GJ. Van Wezemael, A. Gonzalez Martinez
KurzbeschreibungThe lecture course addresses the transformation of urban landscapes towards sustainable inward development. The course reconnects two largely separated complexity approaches in «spatial planning» and «urban sciences» as a basic framework to look at a number of spatial systems considering economic, political, and cultural factors. Focus lies on participation and interaction of students in groups.
Lernziel- Understand cities as complex adaptive systems
- Understand planning in a complex context and planning competitions as decision-making
- Seeing cities through big data and understand (Urban) Governance as self-organization
- Learn Design-Thinking methods for solving problems of inward development
- Practice presentation skills
- Practice argumentation and reflection skills by writing critiques
- Practice writing skills in a small project
- Practice teamwork
InhaltStarting point and red thread of the lecture course is the transformation of urban landscapes as we can see for example across the Swiss Mittelland - but in fact also globally. The lecture course presents a theoretical foundation to see cities as complex systems. On this basis it addresses practical questions as well as the complex interplay of economic, political or spatial systems.

While cities and their planning were always complex the new era of globalization exposed and brought to the fore this complexity. It created a situation that the complexity of cities can no longer be ignored. The reason behind this is the networking of hitherto rather isolated places and systems across scales on the basis of Information and Communication Technologies. «Parts» of the world still look pretty much the same but we have networked them and made them strongly interdependent. This networking fuels processes of self-organization. In this view regions emerge from a multitude of relational networks of varying geographical reach and they display intrinsic timescales at which problems develop. In such a context, an increasing number of planning problems remain unaffected by either «command-and-control» approaches or instruments of spatial development that are one-sidedly infrastructure- or land-use orientated. In fact, they urge for novel, more open and more bottom-up assembling modes of governance and a «smart» focus on how space is actually used. Thus, in order to be effective, spatial planning and governance must be reconceptualised based on a complexity understanding of cities and regions, considering self-organizing and participatory approaches and the increasingly available wealth of data.
LiteraturA reader with original papers will be provided via the ILIAS system.
Voraussetzungen / BesonderesOnly for masters students, otherwise a special permit of the lecturer is necessary.
252-0834-00LInformation Systems for Engineers Information
Wird ab HS20 nur in Herbstsemester angeboten.
W4 KP2V + 1UG. Fourny
KurzbeschreibungThis course provides the basics of relational databases from the perspective of the user.

We will discover why tables are so incredibly powerful to express relations, learn the SQL query language, and how to make the most of it. The course also covers support for data cubes (analytics).
LernzielThis lesson is complementary with Big Data for Engineers as they cover different time periods of database history and practices -- you can even take both lectures at the same time.

After visiting this course, you will be capable to:

1. Explain, in the big picture, how a relational database works and what it can do in your own words.

2. Explain the relational data model (tables, rows, attributes, primary keys, foreign keys), formally and informally, including the relational algebra operators (select, project, rename, all kinds of joins, division, cartesian product, union, intersection, etc).

3. Perform non-trivial reading SQL queries on existing relational databases, as well as insert new data, update and delete existing data.

4. Design new schemas to store data in accordance to the real world's constraints, such as relationship cardinality

5. Explain what bad design is and why it matters.

6. Adapt and improve an existing schema to make it more robust against anomalies, thanks to a very good theoretical knowledge of what is called "normal forms".

7. Understand how indices work (hash indices, B-trees), how they are implemented, and how to use them to make queries faster.

8. Access an existing relational database from a host language such as Java, using bridges such as JDBC.

9. Explain what data independence is all about and didn't age a bit since the 1970s.

10. Explain, in the big picture, how a relational database is physically implemented.

11. Know and deal with the natural syntax for relational data, CSV.

12. Explain the data cube model including slicing and dicing.

13. Store data cubes in a relational database.

14. Map cube queries to SQL.

15. Slice and dice cubes in a UI.

And of course, you will think that tables are the most wonderful object in the world.
InhaltUsing a relational database
1. Introduction
2. The relational model
3. Data definition with SQL
4. The relational algebra
5. Queries with SQL

Taking a relational database to the next level
6. Database design theory
7. Databases and host languages
8. Databases and host languages
9. Indices and optimization
10. Database architecture and storage

Analytics on top of a relational database
12. Data cubes

13. Outlook
Literatur- Lecture material (slides).

- Book: "Database Systems: The Complete Book", H. Garcia-Molina, J.D. Ullman, J. Widom
(It is not required to buy the book, as the library has it)
Voraussetzungen / BesonderesFor non-CS/DS students only, BSc and MSc
Elementary knowledge of set theory and logics
Knowledge as well as basic experience with a programming language such as Pascal, C, C++, Java, Haskell, Python
051-0912-20LSeminarwoche Frühjahrssemester 2020 Information Belegung eingeschränkt - Details anzeigen
Im FS20 darf nur eine Seminarwoche belegt werden 051-0912-20L oder 051-0914-20L.
W2 KP3ADozent/innen
KurzbeschreibungMit verschiedenen Lehrinhalten, obligatorisch für Studierende aller Semester. Programme werden jeweils am ersten Semestertag publiziert.
LernzielDie Studierenden werden in die Lage versetzt, eng umschriebene Sachfragen in kleinen Unterrichtsgruppen und in direktem Kontakt mit den Dozierenden an spezifischen Orten zu diskutieren.
InhaltMit verschiedenen Lehrinhalten, obligatorisch für Studierende aller Semester. Programme werden jeweils am ersten Semestertag publiziert.
052-0568-00LRaumakustik (FS) Information W2 KP2GK. Eggenschwiler
KurzbeschreibungEinfluss von Form und Material auf die Sprach- und Musik-Hörsamkeit in Räumen. Besonderen Anforderungen an akustisch sensible Räume wie Schulzimmer, Musikzimmer, Theater, Konzertsäle, Opernhäuser und Kirchen (historischen und neue Bauten). Moderne Berechnungs- und Beurteilungsverfahren. Einführung in die Beschallungstechnik für Sprache.
LernzielDie Studierenden sollen in die Lage versetzt werden, den Stellenwert der Raumakustik zu erkennen und einfache Räume selbständig akustisch projektieren zu können.
InhaltZu Beginn wird versucht, die Aufmerksamkeit auf die akustische Dimension des Raumes zu lenken, ohne die anderen Wahrnehmungsbereiche auszuschliessen. Dann wird der Einfluss von Form und Material auf die Sprach- und Musik-Hörsamkeit in Räumen an Beispielen und mit Hilfe der spezifischen Werkzeuge der technischen Akustik untersucht. Es werden die besonderen Anforderungen akustisch sensibler Räume wie Schulzimmer, Musikzimmer, Theater, Konzertsäle, Opernhäuser und Kirchen theoretisch und an historischen sowie neuen Bauten diskutiert. Moderne Berechnungs und Beurteilungsverfahren werden dargestellt und es wird eine kleine Einführung in die Beschallungstechnik für Sprache gegeben.
SkriptEin Skript ist zu Beginn der Vorlesung erhältlich. Präsentationen und zusätzliche Dokumente werden auf der Lernplattform abgelegt
252-3900-00LBig Data for Engineers Information
This course is not intended for Computer Science and Data Science MSc students!
W6 KP2V + 2U + 1AG. Fourny
KurzbeschreibungThis course is part of the series of database lectures offered to all ETH departments, together with Information Systems for Engineers. It introduces the most recent advances in the database field: how do we scale storage and querying to Petabytes of data, with trillions of records? How do we deal with heterogeneous data sets? How do we deal with alternate data shapes like trees and graphs?
LernzielThis lesson is complementary with Information Systems for Engineers as they cover different time periods of database history and practices -- you can even take both lectures at the same time.

The key challenge of the information society is to turn data into information, information into knowledge, knowledge into value. This has become increasingly complex. Data comes in larger volumes, diverse shapes, from different sources. Data is more heterogeneous and less structured than forty years ago. Nevertheless, it still needs to be processed fast, with support for complex operations.

This combination of requirements, together with the technologies that have emerged in order to address them, is typically referred to as "Big Data." This revolution has led to a completely new way to do business, e.g., develop new products and business models, but also to do science -- which is sometimes referred to as data-driven science or the "fourth paradigm".

Unfortunately, the quantity of data produced and available -- now in the Zettabyte range (that's 21 zeros) per year -- keeps growing faster than our ability to process it. Hence, new architectures and approaches for processing it were and are still needed. Harnessing them must involve a deep understanding of data not only in the large, but also in the small.

The field of databases evolves at a fast pace. In order to be prepared, to the extent possible, to the (r)evolutions that will take place in the next few decades, the emphasis of the lecture will be on the paradigms and core design ideas, while today's technologies will serve as supporting illustrations thereof.

After visiting this lecture, you should have gained an overview and understanding of the Big Data landscape, which is the basis on which one can make informed decisions, i.e., pick and orchestrate the relevant technologies together for addressing each business use case efficiently and consistently.
InhaltThis course gives an overview of database technologies and of the most important database design principles that lay the foundations of the Big Data universe.

It targets specifically students with a scientific or Engineering, but not Computer Science, background.

We take the monolithic, one-machine relational stack from the 1970s, smash it down and rebuild it on top of large clusters: starting with distributed storage, and all the way up to syntax, models, validation, processing, indexing, and querying. A broad range of aspects is covered with a focus on how they fit all together in the big picture of the Big Data ecosystem.

No data is harmed during this course, however, please be psychologically prepared that our data may not always be in normal form.

- physical storage: distributed file systems (HDFS), object storage(S3), key-value stores

- logical storage: document stores (MongoDB), column stores (HBase)

- data formats and syntaxes (XML, JSON, RDF, CSV, YAML, protocol buffers, Avro)

- data shapes and models (tables, trees)

- type systems and schemas: atomic types, structured types (arrays, maps), set-based type systems (?, *, +)

- an overview of functional, declarative programming languages across data shapes (SQL, JSONiq)

- the most important query paradigms (selection, projection, joining, grouping, ordering, windowing)

- paradigms for parallel processing, two-stage (MapReduce) and DAG-based (Spark)

- resource management (YARN)

- what a data center is made of and why it matters (racks, nodes, ...)

- underlying architectures (internal machinery of HDFS, HBase, Spark)

- optimization techniques (functional and declarative paradigms, query plans, rewrites, indexing)

- applications.

Large scale analytics and machine learning are outside of the scope of this course.
LiteraturPapers from scientific conferences and journals. References will be given as part of the course material during the semester.
Voraussetzungen / BesonderesThis course is not intended for Computer Science and Data Science students. Computer Science and Data Science students interested in Big Data MUST attend the Master's level Big Data lecture, offered in Fall.

Requirements: programming knowledge (Java, C++, Python, PHP, ...) as well as basic knowledge on databases (SQL). If you have already built your own website with a backend SQL database, this is perfect.

Attendance is especially recommended to those who attended Information Systems for Engineers last Fall, which introduced the "good old databases of the 1970s" (SQL, tables and cubes). However, this is not a strict requirement, and it is also possible to take the lectures in reverse order.
363-1056-00LInnovation Leadership Belegung eingeschränkt - Details anzeigen
Up to four slots are available for students in architecture or civil engineering (Master level) or for D-MTEC MAS/MSc students with architecture or civil engineering background.

If you are NOT a student in Integrated Building Systems, you need to apply with motivation letter (max. 1 page), CV and a transcript of records no later than 31 January 2020. Please send your application to Zorica Zagorac (
W6 KP3SD. Laureiro Martinez, C. P. Siegenthaler, Z. Zagorac-Uremovic
KurzbeschreibungThis course provides participants with the challenging opportunity of working on an innovation project of a leading company in the Swiss building industry.
LernzielStudents work in teams, on a concrete innovation project that is currently affecting the strategic agenda of the top management team of a leading company in the Swiss building industry. Students conduct interviews with internal and external experts, as well as company clients. By doing so, students gain first-hand experience on the competitive dynamics of the construction industry and as a group, work on proposing a solution to the company’s innovation project.
The course emphasizes the use and development of self-directedness and critical thinking abilities. In parallel to working on the innovation project, students work on their own learning goals. Students first define their very own learning goals and then are assessed and graded on whether they have progressed towards achieving such learning goals.
Students learn to:
• Reflect and explore personal learning goals and discover new aspects of their leadership abilities
• Learn to work in an unknown direction with no certain outcome
• Explore how a project with internal and external stakeholders works when people have conflicting interests, that might also vary according to the different time perspectives that are taken into account
• Use design thinking and solution-oriented coaching techniques
InhaltThe course uses participant-centered tools that encourage students' reflection and boost their personal development, their creative output and help them to discover their own approach to leadership. The course offers multiple opportunities to learn about technical aspects in a real corporate environment. The setup is a social environment in which trial-and-error learning is encouraged. The course focuses on three areas of development: Project management, innovation and leadership.
Project Management: Students learn to self-manage their project while being supported by numerous project management techniques, coaching exercises, and individual feedback through learning diaries. An additional focus is given to design thinking methods and prototyping tools.

Innovation: Students learn about specific topics related to current innovation in the building sector in Switzerland. They learn to understand technology changes with an ecosystems view and think about the impact of new technologies in the building industry company (e.g. the commercialization of Building Information Modelling, BIM).
Leadership: Students conduct a project with diverse stakeholders requiring them to take managerial, technical, and personal responsibility for the company case. This high-pressure environment leads to an intense self-reflection journey, team experience and fosters proactive behaviors towards the client.
- On the individual level, students have to identify and achieve their very own authentic learning goals. Coaching tools involve a learning diary, which questions evolve during the semester, and a self-assessment of individual abilities and traits, which complements the reflective journey.
- On the team level, students are teamed up to deliver a solution proposal to the company’s project. The teams are diverse and the students’ work focuses on cooperativeness and how to be effective team members. Teaching tools involve peer-to-peer feedback, coaching and open space workshops.
- On the company level, students learn how to deal with different stakeholders and how to create impactful and sustainable solutions for their client.
Voraussetzungen / BesonderesUp to four slots are available for students in architecture or civil engineering (Master level) or for D-MTEC MAS/MSc students with architecture or civil engineering background.

If you are NOT a student in Integrated Building Systems, you need to apply with motivation letter (max. 1 page), CV and a transcript of records no later than 31 January 2020. Please send your application to Zorica Zagorac ( Incomplete or late applications will not be considered.
066-0431-00LSemester Project MBS Belegung eingeschränkt - Details anzeigen
Semesterprojekte werden von einem oder mehreren Professoren und Professorinnen und allfälligen weiteren Personen geleitet und bewertet. Mindestens ein Professor oder eine Professorin muss einem der am Studiengang beteiligten Departemente nach Art. 2 angehören. Dies gilt auch für Semesterprojekte, die ausserhalb der ETH Zürich ausgeführt werden.

Für die Betreuung des Semesterprojekts MBS kann unter folgenden Professoren gewählt werden:
Guillaume HABERT
Daniel HALL
O6 KP13AProfessor/innen
KurzbeschreibungThe semester project focuses in solving specific research questions in the field of integrated building systems.
LernzielThe semester project is designed to train students in solving specific research questions in the field of integrated building systems. The goal is to apply acquired knowledge which is gained throughout the first year of the master's program. The semester project is advised by a professor who is affiliated with one of the partner departments of the Master program "Integrated building systems".
InhaltThe semester project is designed to train students in solving specific research questions in the field of integrated building systems. The goal is to apply acquired knowledge which is gained throughout the first year of the master's program. The semester project is advised by a professor who is affiliated with one of the partner departments of the Master program "Integrated building systems".
GESS Wissenschaft im Kontext
» siehe Studiengang Wissenschaft im Kontext: Typ A: Förderung allgemeiner Reflexionsfähigkeiten
» Empfehlungen aus dem Bereich Wissenschaft im Kontext (Typ B) für das D-ARCH.
» siehe Studiengang Wissenschaft im Kontext: Sprachkurse ETH/UZH
851-0107-00LWissenschaft und Öffentlichkeit - ein Vermittlungsproblem, das die Medien zu lösen haben? Belegung eingeschränkt - Details anzeigen W3 KP2SU. J. Wenzel
KurzbeschreibungWas können, was sollen, was wollen «Laien» von wissenschaftlichen Erkenntnissen wissen und verstehen? Wie und was wird bei der Berichterstattung über Wissenschaft «vermittelt»? Hat Wissenschaftsjournalismus wissenschaftlichen Kriterien zu folgen? Wie unterscheiden sich Naturwissenschaften von Geistes- und Sozialwissenschaften in puncto «Vermittelbarkeit» und öffentliche Aufmerksamkeit?
LernzielEinblicke in das Verhältnis von Wissenschaften, Öffentlichkeit und Medien gewinnen, in dessen historische Entwicklung und aktuelle Problematik - unter besonder Berücksichtigung des «Wissenschaftsfeuilletons».
InhaltDas Feuilleton der «Frankfurter Allgemeinen Zeitung» vom 27. Juni 2000 ist in die Annalen der jüngeren Mediengeschichte eingegangen. Abgedruckt wurden auf sechs grossformatigen Seiten die letzten Sequenzen des vollständig kartierten genetischen Codes des Menschen: die Buchstaben A, G, C und T in verschiedensten Kombinationen und Abfolgen – ein «lesbarer», aber unverständlicher Buchstabensalat in Reihen und Gliedern. Was damals als staunenswerter publizistischer Coup Begeisterung ebenso wie Kopfschütteln erntete, lässt sich (auch) als Fragen provozierendes Sinnbild des spannungsvollen Verhältnisses von Wissenschaft und Öffentlichkeit lesen. Was können, was sollen, was wollen «Laien» von wissenschaftlichen Erkenntnissen wissen und verstehen? Welche Rolle spielen Medien, spielt Wissenschaftsjournalismus dabei? Wie und was wird bei der Berichterstattung über wissenschaftliche Erkenntnisse «vermittelt»? Und hat Wissenschaftsjournalismus bei solcher Berichterstattung wissenschaftlichen Kriterien zu folgen? Wie unterscheiden sich Naturwissenschaften sowie Medizin und Technikwissenschaften einerseits von Geistes- und Sozialwissenschaften andererseits in puncto «Vermittelbarkeit» und öffentliche Aufmerksamkeit? Handelt es sich tatsächlich um zwei divergierende «Wissenschaftskulturen» – und um zwei verschiedenartige Weisen ihrer Darstellung oder «Präsenz» in den Medien?
Diesen Fragen soll auf einigen Exkursionen in die jüngere und auch ältere Medien-, Wissenschafts- und Kulturgeschichte nachgegangen werden.
851-0006-00LWasser in der Frühen Neuzeit: Eine Stoff- und Umweltgeschichte Belegung eingeschränkt - Details anzeigen W3 KP2ST. Asmussen
KurzbeschreibungDas Seminar beschäftigt sich mit Fragen, wie Wasser in den Gesellschaften des Mittelalters und der Frühen Neuzeit wahrgenommen, genutzt und angeeignet wurde. Wir untersuchen Wasser als Lebensgrundlage (Trinkwasser, Bewässerungsressource), Energiequelle, Transportmedium, Infrastruktur und Bedrohung zwischen 1400 und 1800.
LernzielDie Studierenden erarbeiten sich historisch fundierte Kenntnisse, wie vormoderne Gesellschaften sich den den Naturstoff Wasser aneigneten und wie sie selbst durch die Interaktionen mit dem flüssigen Element geformt und verändert wurden. Von den Studierenden wird die Bereitschaft zur Lektüre von deutschen, französischen und englischen Originalquellen erwartet.
InhaltDas Seminar untersucht die Stoff- und Nutzungsgeschichte des Wassers vom ausgehenden Mittelalter bis ins 18. Jahrhundert. Anhand von Text- und Bildquellen gehen wir im Plenum und in Gruppenarbeiten den leiblichen, kulturellen, wirtschaftlichen und wissenschaftlich-technischen Implikationen der Mensch-Wasser-Beziehung auf den Grund.
Wir beschäftigen uns mit (al-)chemischen Analysen von Wasser im Kontext von medizinischen Traktaten und Bäderkuren, dem Ausbau und den Herausforderungen der Wasserinfrastruktur (Brunnen, Abwasser-, Bewässerungskanäle, Binnenschiffahrt), den damit einhergehenden Veränderungen der Landschaft sowie mit Wasser als Bedrohung (Überschwemmungen).
851-0109-00LImmagini pubbliche della scienzaW3 KP2VM. Bucchi
KurzbeschreibungIl corso analizzerà in chiave storica e sociologica le immagini pubbliche della scienza e degli scienziati e i loro principali cambiamenti.
LernzielIn particolare, saranno approfonditi temi quali: il ruolo dell’elemento visuale nella comunicazione della scienza e nella sua rappresentazione pubblica; il ruolo degli ‘scienziati visibili’, con particolare riferimento ai vincitori di premi Nobel; eventi e vicende che hanno segnato la percezione pubblica della scienza e il rapporto tra scienza e società.
InhaltIl corso analizzerà in chiave storica e sociologica le immagini pubbliche della scienza e degli scienziati e i loro principali cambiamenti.
In particolare, saranno approfonditi temi quali: il ruolo dell’elemento visuale nella comunicazione della scienza e nella sua rappresentazione pubblica; il ruolo degli ‘scienziati visibili’, con particolare riferimento ai vincitori di premi Nobel; eventi e vicende che hanno segnato la percezione pubblica della scienza e il rapporto tra scienza e società.
Vari esempi citati e discussi faranno riferimento alla scienza italiana e al suo rapporto con la società e i diversi ambiti della cultura (letteratura, arti visive, gastronomia), con particolare riferimento al periodo che va dalla metà del XIX secolo alla fine del XX secolo.
851-0521-00LComputer Geschichte. Eine EinführungW3 KP2VD. Gugerli
KurzbeschreibungDie Vorlesung geht der Frage nach, wie die Welt in den Computer kam. Die Geschichte dieses grossen Umzugs in der zweiten Hälfte des 20. Jahrhunderts wird erzählt anhand von Engpässen, deren Überwindung neue Schwierigkeiten hervorgebracht hat.
LernzielDie Studentinnen und Studenten lernen die Wirkungen technikhistorischer Erzähl- und Argumentationsweisen zu verstehen.
SkriptDas genaue Programm wird zu Beginn des Semesters vorgestellt.
851-0609-04LThe Energy Challenge - The Role of Technology, Business and Society Information
Voraussetzung: Grundkenntnisse in Volkswirtschaftslehre.
W2 KP2VR. Schubert, T. Schmidt, B. Steffen
KurzbeschreibungIn recent years, energy security, risks, access and availability are important issues. Strongly redirecting and accelerating technological change on a sustainable low-carbon path is essential. The transformation of current energy systems into sustainable ones is not only a question of technology but also of the goals and influences of important actors like business, politics and society.
LernzielIn this course different options of sustainable energy systems like fossile energies, nuclear energy or all sorts of renewable energies are explained and discussed. The students should be able to understand and identify advantages and disadvantages of the different technological options and discuss their relevance in the business as well as in the societal context.
SkriptMaterials will be made available on the electronic learning platform:
LiteraturMaterials will be made available on the electronic learning platform:
Voraussetzungen / BesonderesVarious lectures from different disciplines.
363-0532-00LÖkonomische Theorie der NachhaltigkeitW3 KP2VL. Bretschger
KurzbeschreibungKonzepte und Indikatoren nachhaltiger Entwicklung, Paradigmen starker und schwacher Nachhaltigkeit;
Modelle des neoklassischen und des endogenen Wachstums; Wirtschaftswachstum bei nicht-erneuerbaren und erneuerbaren Ressourcen; Umweltverschmutzung, Umweltpolitik und Wachstum;
Rolle der Substitution und des technischen Fortschritts;
Environmental Kuznets Curve; Nachhaltigkeitspolitik
LernzielDie Studierenden sollen ein wissenschaftliches Verständnis für die Implikationen nachhaltiger Entwicklung in Bezug auf das langfristige Wachstum von Volkswirtschaften entwickeln. Es soll herausgearbeitet werden, inwieweit das Potential für ein nachhaltiges Wachstum von Substitutionsmöglichkeiten, technologischem Fortschritt und umweltpolitischen Eingriffen des Staates abhängig ist.
Nach einem erfolgreichen Abschluss dieses Kurses sind die Studierenden in der Lage:
1. die Ursachen der langfristigen Entwicklung von Wirtschaften zu verstehen
2. den Einfluss von natürlichen Ressourcen und von Umweltverschmutzung auf die Entwicklung der gesellschaftlichen Wohlfahrt zu analysieren
3. die Rolle der Politik für die Verfolgung der Nachhaltigkeitsziele zweckmässig einzuordnen.
InhaltDie Studierenden werden zunächst mit unterschiedlichen Konzepten und Paradigmen nachhaltiger Entwicklung vertraut gemacht. Aufbauend auf dieser Grundlage werden Bedingungen für nachhaltiges Wachstum bei Umweltverschmutzung und knappen natürlichen Ressourcen näher beleuchtet. Besonderes Augenmerk liegt auf der Rolle von Substitutionsmöglichkeiten und technischem Forschritt für die Ueberwindung von Ressourcenknappheit. Auswirkungen von Umweltexternalitäten werden in Bezug auf mögliche Ansatzpunkte für wirtschafts- und umweltpolitische Eingriffe des Staates betrachtet.
Konzepte und Indikatoren nachhaltiger Entwicklung, Paradigmen starker und schwacher Nachhaltigkeit, Nachhaltigkeitsoptimismus vs. –pessimismus;
Einführung in Modelle neoklassischen und endogenen Wachstums;
Umweltverschmutzung, Umweltpolitik und Wachstum;
Rolle der Substitutionselastizität und des technischen Fortschritts;
Environmental Kuznets Curve: Grundkonzept, theoretische Elemente, empirische Resultate;
Wirtschaftswachstum bei nicht-erneuerbaren und erneuerbaren Ressourcen, Hartwick-Regel, Konsumentwicklung bei zinsabhängigem Sparen, ressourcensparender technischer Fortschritt.
SkriptDie Folien zur Veranstaltung werden vorlesungsbegleitend über Internet zugänglich gemacht.
LiteraturBretschger, F. (1999), Growth Theory and Sustainable Development, Cheltenham: Edward Elgar.

Bretschger, L. (2004), Wachstumstheorie, Oldenbourg, 3. Auflage, München.

Bretschger, L. (2018), Greening Economy, Graying Society, CER-ETH Press, ETH Zurich.

Perman, R., Y. Ma, J. McGilvray and M. Common (2011), Natural Resource and Environmental Economics, Longman , 4th ed., Essex.

Neumayer, E. (2003), Weak and Strong Sustainability, 2nd ed., Cheltenham: Edward Elgar.

Weitere Literaturangaben in der Vorlesung
364-0576-00LAdvanced Sustainability Economics Information
PhD course, open for MSc students
W3 KP3GL. Bretschger
KurzbeschreibungThe course covers current resource and sustainability economics, including ethical foundations of sustainability, intertemporal optimisation in capital-resource economies, sustainable use of non-renewable and renewable resources, pollution dynamics, population growth, and sectoral heterogeneity. A final part is on empirical contributions, e.g. the resource curse, energy prices, and the EKC.
LernzielUnderstanding of the current issues and economic methods in sustainability research; ability to solve typical problems like the calculation of the growth rate under environmental restriction with the help of appropriate model equations.
351-0578-00LEinführung in die Wirtschaftspolitik
Findet dieses Semester nicht statt.
KurzbeschreibungErster Zugang zur Theorie der Wirtschaftspolitik.
LernzielErster Zugang zur Theorie der Wirtschaftspolitik. Grundsätzliches Verständnis von wirtschaftspolitschen Mechanismen.
InhaltWirtschaftspolitik ist die Gesamtheit aller Massnahmen von staatlichen Institutionen mit denen das Wirtschaftsgeschehen geregelt und gestaltet wird. Die Vorlesung bietet einen ersten Zugang zur Theorie der Wirtschaftspolitik.

Gliederung der Vorlesung:

1.) Wohlfahrtsökonomische Grundlagen: Wohlfahrtsfunktion, Pareto-Optimalität, Wirtschaftspolitik als Mittel-Zweck-Analyse u.a.

2.) Wirtschaftsordnungen: Geplante und ungeplante Ordnung
3.) Wettbewerb und Effizienz: Hauptsätze der Wohlfahrtsökonomik, Effizienz von Wettbewerbsmärkten
4.) Wettbewerbspolitik: Sicherstellung einer wettbewerblichen Ordnung

Gründe für Marktversagen:
5.) Externe Effekte
6.) Öffentliche Güter
7.) Natürliche Monopole
8.) Informationsasymmetrien
9.) Anpassungskosten
10.) Irrationalität

11.) Wirtschaftspolitik und Politische Ökonomie

Die Vorlesung beinhaltet Anwendungsbeispiele und Exkurse, um eine Verbindung zwischen Theorie und Praxis der Wirtschaftspolitik herzustellen. Z. B. Verteilungseffekte von wirtschaftspolitischen Massnahmen, Kartellpolitik am Ölmarkt, Internalisierung externer Effekte durch Emissionshandel, moralisches Risiko am Finanzmarkt, Nudging, zeitinkonsistente Präferenzen im Bereich der Gesundheitspolitik
SkriptJa (in Form von Vorlesungsslides).
701-0758-00LÖkologische Ökonomik: Grundlagen und WachstumskritikW2 KP2VI. Seidl
KurzbeschreibungDie Studierenden lernen die Grundlagen / zentralen Fragestellungen / Analysen der Ökologischen Ökonomik kennen. Im Zentrum steht dabei das Thema Wirtschaftswachstum. Welche Positionen hat die Ökologische Ökonomik dazu? Mit welchen Theorien und Konzepten begründet sie dies insgesamt und in einzelnen ökonomischen Teilbereichen (z.B. Ressourcenverbrauch, Effizienz, Konsum, Arbeitsmarkt, Unternehmen)?
LernzielKennenlernen der Grundlagen und zentralen Fragestellungen der Ökologischen Ökonomik (ÖÖ): z.B. 'pre-analytic vision', Gegenstandsbereich, Entstehung ÖÖ, Beiträge involvierter Disziplinen wie Ökologie oder Politologie, ökologisch-ökonomische Analyse von Themen wie Arbeitsmarkt, Konsum oder Geld. Kritische Analyse von Wachstum und Kennenlernen von Ansätzen zur Reduktion von Wachstumszwängen.
InhaltWas ist Ökologische Ökonomik
Gegenstand und Grundlagen
Ressourcenverbrauch, seine Entwicklung und Messung
Messung wirtschaftlicher Leistung und Wohlfahrt
Wirtschaftswachstum, Wachstumskritik und Postwachstumsgesellschaft
Konsum, Geld, Unternehmen, Arbeitsmarkt und Wachstumszwänge
Ansatzpunkte für eine Postwachstumsgesellschaft
SkriptKein Skript. Folien und Texte werden vorgängig zur Verfügung gestellt.
LiteraturDaly, H. E. / Farley, J. (2004). Ecological Economics. Principles and Applications. Washington, Island Press.

Seidl, I. /Zahrnt A. (2010). Postwachstumsgesellschaft, Marburg, Metropolis.

Ausgewählte wissenschaftliche Artikel.
Voraussetzungen / BesonderesBesuch einer Vorlesung zu Umweltökonomie oder anderweitige Grundkenntnisse in Ökonomie (z.B. Matura)
751-1500-00LEntwicklungsökonomikW3 KP2VI. Günther, K. Harttgen
KurzbeschreibungEinführung in theoretische und empirische Grundlagen wirtschaftlicher Entwicklung. Theorie der Wirtschaftspolitik für Armutsreduktion.
LernzielDas Ziel dieser Vorlesung besteht darin, die Studierenden in grundlegende entwicklungsökonomische und damit verwandte wirtschafts- und entwicklungspolitische Zusammenhänge einzuführen.
InhaltDer Kurs beginnt mit einer theoretischen und empirischen Einführung in die Konzepte der Armutsreduktion und Fragen der Bekämpfung von sozioökonomischer Ungleichheit. Davon ausgehend werden wichtige exogene und interne Triebkräfte erörtert, die wirtschaftliche Entwicklung und Armutsreduktion fördern oder behindern sowie wirtschafts- und entwicklungspolitische Maßnahmen besprochen, um globale Armut zu überwinden. Im Einzelnen wird dabei auf folgende Themen eingegangen:

- Messung von Entwicklung, Armut und Ungleichheit
- Theorien des Wirtschaftswachstums
- Handel und Entwicklung
- Bildung, Gesundheit, Bevölkerung und Entwicklung
- Rolle des Staates und von Institutionen
- Fiskal-, Geld- und Wechselkurspolitk.
LiteraturGünther, Harttgen und Michaelowa (2020): Einführung in die Entwicklungsökonomik.
Voraussetzungen / BesonderesVoraussetzungen:
Grundlagenkenntisse der Mikro- und Makroökonomie.

Die Veranstaltung besteht aus einem Vorlesungsteil, aus eigener Literatur- und Recherchearbeit sowie der Bearbeitung von Aufgabenblättern.

Die Vorlesung basiert auf: Günther, Harttgen und Michaelowa (2019): Einführung in die Entwicklungsökonomik. Einzelne Kapitel müssen jeweils vor den Veranstaltungen gelesen werden. In den Veranstaltungen wird das Gelesene diskutiert und angewendet. Auch werden offene Fragen der Kapitel und Übungen besprochen.
860-0032-00LPrinciples of Macroeconomics Belegung eingeschränkt - Details anzeigen
Prerequisite: An introductory course in Economics is required to sign up for this course.

Number of participants is limited to 20

STP students have priority
W3 KP2VS. Sarferaz
KurzbeschreibungThis course examines the behaviour of macroeconomic variables, such as gross domestic product, unemployment and inflation rates. It tries to answer questions like: How can we explain fluctuations of national economic activity? What can economic policy do against unemployment and inflation?
LernzielThis lecture will introduce the fundamentals of macroeconomic theory and explain their relevance to every-day economic problems.
InhaltThis course helps you understand the world in which you live. There are many questions about the macroeconomy that might spark your curiosity. Why are living standards so meagre in many African countries? Why do some countries have high rates of inflation while others have stable prices? Why have some European countries adopted a common currency? These are just a few of the questions that this course will help you answer. Furthermore, this course will give you a better understanding of the potential and limits of economic policy. As a voter, you help choose the policies that guide the allocation of society's resources. When deciding which policies to support, you may find yourself asking various questions about economics. What are the burdens associated with alternative forms of taxation? What are the effects of free trade with other countries? How does the government budget deficit affect the economy? These and similar questions are always on the minds of policy makers.
701-0701-00LWissenschaftsphilosophieW3 KP2VC. J. Baumberger
KurzbeschreibungDie Vorlesung behandelt den Begriff wissenschaftlicher Rationalität in kritischer Auseinandersetzung mit verschiedenen wissenschaftsphilosophischen Positionen und am Beispiel der Umweltforschung. Sie geht auf empirische, mathematische und logische Methoden ein und diskutiert Probleme sowie ethische Fragen, die sich bei der praktischen Verwendung von Wissenschaft in der Gesellschaft stellen.
LernzielStudierende können sich mit wissenschaftsphilosophischen Fragestellungen auseinandersetzen und diese auf die Umwelt- oder Naturwissenschaften beziehen. Sie kennen wichtige Positionen der Wissenschaftsphilosophie und zentrale Kritikpunkte daran. Sie können kritische Fragen, welche sich mit der Verwendung von Wissenschaft in der Gesellschaft stellen, identifizieren, strukturieren und diskutieren.
Inhalt1. Wesentliche Unterschiede zwischen antikem und neuzeitlichem Wissenschaftsbegriff.
2. Klassische Positionen der Wissenschaftsphilosophie im 20 Jh.: logischer Empirismus und kritischer Rationalismus (Popper); die Analyse wissenschaftlicher Erklärungen und Begriffsbildungen.
3. Kritik am logischen Empirismus und kritischen Rationalismus sowie weitere Entwicklungen: Was unterscheidet Naturwissenschaften und Geistes-, Sozial- und Geschichtswissenschaften? Was bedeutet Erkenntnisfortschritt (Kuhn, Fleck, Feyerabend)? Ist wissenschaftliche Erkenntnis relativistisch zu verstehen? Welche Funktionen haben Experimente und Computersimulationen?
4. Probleme der Verwendung von Wissenschaft in der Gesellschaft: das Verhältnis von Grundlagenforschung und angewandter Forschung; Inter- und Transdisziplinarität; Verantwortung in den Wissenschaften.
SkriptEin Reader wird zu Beginn der Lehrveranstaltung abgegeben
LiteraturEine Literaturliste wird zu Beginn der Lehrveranstaltung abgegeben.
Voraussetzungen / BesonderesDer Leistungsnachweis für Studierende an der ETH findet im Rahmen einer mündlichen Sessionsprüfung statt.
In zusätzlichen fakultativen Uebungen werden ausgewählte Texte des Readers vertieft diskutiert. Für die Uebungen wird ein Kreditpunkt angerechnet. Sie erfordern eine zusätzliche Einschreibung unter 701-0701-01 U.
851-0125-65LA Sampler of Histories and Philosophies of Mathematics
Besonders geeignet für Studierende D-CHAB, D-INFK, D-ITET, D-MATH, D-PHYS
W3 KP2VR. Wagner
KurzbeschreibungThis course will review several case studies from the ancient, medieval and modern history of mathematics. The case studies will be analyzed from various philosophical perspectives, while situating them in their historical and cultural contexts.
LernzielThe course aims are:
1. To introduce students to the historicity of mathematics
2. To make sense of mathematical practices that appear unreasonable from a contemporary point of view
3. To develop critical reflection concerning the nature of mathematical objects
4. To introduce various theoretical approaches to the philosophy and history of mathematics
5. To open the students' horizons to the plurality of mathematical cultures and practices
851-0090-00LThe Philosophy of Complex Systems Belegung eingeschränkt - Details anzeigen W3 KP2SO. Del Fabbro
KurzbeschreibungToday complexity research has found an enormous expansiveness in heterogenous areas, such as physics, biology, medicine, urban complexity, environment sustainability, public policy, economics, sociology, education, computer science, robotics, AI, etc. Furthermore, we will look at historical advancements like cybernetics, and how complexity research influenced philosophical theories.
LernzielStudents should learn about the different types of argumentative texts and scientific theories. They should learn to understand the descriptive and critical value of texts that operate at the boarder between philosophy and science.
860-0001-00LPublic Institutions and Policy-Making Processes Belegung eingeschränkt - Details anzeigen
Number of participants limited to 25.

Priority for MSc Science, Technology, and Policy.
W3 KP2.8GT. Bernauer, S. Bechtold, F. Schimmelfennig
KurzbeschreibungStudents acquire the contextual knowledge for analyzing public policies. They learn why and how public policies and laws are developed, designed, and implemented at national and international levels, and what challenges arise in this regard.
LernzielPublic policies result from decision-making processes that take place within formal institutions of the state (parliament, government, public administration, courts). That is, policies are shaped by the characteristics of decision-making processes and the characteristics of public institutions and related actors (e.g. interest groups). In this course, students acquire the contextual knowledge for analyzing public policies. They learn why and how public policies and laws are developed, designed, and implemented at national and international levels, and what challenges arise in this regard. The course is organized in three modules. The first module (Stefan Bechtold) examines basic concepts and the role of law, law-making, and law enforcement in modern societies. The second module (Thomas Bernauer) deals with the functioning of legislatures, governments, and interest groups. The third module (Frank Schimmelfennig) focuses on the European Union and international organisations.
InhaltPublic policies result from decision-making processes that take place within formal institutions of the state (parliament, government, public administration, courts). That is, policies are shaped by the characteristics of decision-making processes and the characteristics of public institutions and related actors (e.g. interest groups). In this course, students acquire the contextual knowledge for analyzing public policies. They learn why and how public policies and laws are developed, designed, and implemented at national and international levels, and what challenges arise in this regard. The course is organized in three modules. The first module (Stefan Bechtold) examines basic concepts and the role of law, law-making, and law enforcement in modern societies. The second module (Thomas Bernauer) deals with the functioning of legislatures, governments, and interest groups. The third module (Frank Schimmelfennig) focuses on the European Union and international organisations.
SkriptReading materials will be distributed electronically to the students when the semester starts.
LiteraturBaylis, John, Steve Smith, and Patricia Owens (2014): The Globalization of World Politics. An Introduction to International Relations. Oxford: Oxford University Press.

Caramani, Daniele (ed.) (2014): Comparative Politics. Oxford: Oxford University Press.

Gilardi, Fabrizio (2012): Transnational Diffusion: Norms, Ideas, and Policies, in Carlsnaes, Walter, Thomas Risse and Beth Simmons, Handbook of International Relations, 2nd Edition, London: Sage, pp. 453-477.

Hage, Jaap and Bram Akkermans (eds.) (2nd edition 2017): Introduction to Law, Heidelberg: Springer.

Jolls, Christine (2013): Product Warnings, Debiasing, and Free Speech: The Case of Tobacco Regulation, Journal of Institutional and Theoretical Economics 169: 53-78.

Lelieveldt, Herman and Sebastiaan Princen (2011): The Politics of European Union. Cambridge: Cambridge University Press.

Lessig, Lawrence (2006): Code and Other Laws of Cyberspace, Version 2.0, New York: Basic Books. Available at

Schimmelfennig, Frank and Ulrich Sedelmeier (2004): Governance by Conditionality: EU Rule Transfer to the Candidate Countries of Central and Eastern Europe, in: Journal of European Public Policy 11(4): 669-687.

Shipan, Charles V. and Craig Volden (2012): Policy Diffusion: Seven Lessons for Scholars and Practitioners. Public Administration Review 72(6): 788-796.

Sunstein, Cass R. (2014): The Limits of Quantification, California Law Review 102: 1369-1422.

Thaler, Richard H. and Cass R. Sunstein (2003): Libertarian Paternalism. American Economic Review: Papers & Proceedings 93: 175-179.
Voraussetzungen / BesonderesThis is a Master level course. The course is capped at 25 students, with ISTP Master students having priority.
851-0252-01LHuman-Computer Interaction: Cognition and Usability Belegung eingeschränkt - Details anzeigen
Maximale Teilnehmerzahl: 40

Besonders geeignet für Studierende D-ITET
W3 KP2SC. Hölscher, I. Barisic, H. Zhao
KurzbeschreibungThis seminar introduces theory and methods in human-computer interaction and usability. Cognitive Science provides a theoretical framework for designing user interfaces as well as a range of methods for assessing usability (user testing, cognitive walkthrough, GOMS). The seminar will provide an opportunity to experience some of the methods in applied group projects.
LernzielThis seminar will introduce key topics, theories and methodology in human-computer interaction (HCI) and usability. Presentations will cover the basics of human-computer interaction and selected topics like mobile interaction, adaptive systems, human error and attention. A focus of the seminar will be on getting to know evaluation techniques in HCI. Students will work in groups and will first familiarize themselves with a select usability evaluation method (e.g. user testing, GOMS, task analysis, heuristic evaluation, questionnaires or Cognitive Walkthrough). They will then apply the methods to a human-computer interaction setting (e.g. an existing software or hardware interface) and present the method as well as their procedure and results to the plenary. Active participation is vital for the success of the seminar, and students are expected to contribute to presentations of foundational themes, methods and results of their chosen group project. In order to obtain course credit a written essay / report will be required (details to be specified in the introductory session of the course).
851-0232-00LSozialpsychologie effektiver TeamarbeitW2 KP2VR. Mutz
KurzbeschreibungDie Vorlesung deckt folgende Themen der soziale Interaktion in Gruppen als Basis effektiver Teamarbeit in Organisationen ab: Gruppe; Gruppenstruktur; Gruppenprozesse und -leistung; Gruppenanalyse; Anwendungsbeispiele.
LernzielDie Arbeit im Team nimmt in Wirtschaft und Verwaltung einen immer höheren Stellenwert ein. Ziel dieser Lehrveranstaltung (Vorlesung und Übung) ist es, den Teilnehmerinnen und Teilnehmern ein wissenschaftlich fundiertes Verständnis über sozialen Interaktionen in Gruppen als Grundlage effektiver Teamarbeit in Organisationen zu vermitteln.
InhaltInhalte der Lehrveranstaltung sind:
- Gruppe: Definition und Typen
- Gruppenstruktur: Rollen und Führung
- Gruppenprozesse: Konformität und Konflikte in Gruppen
- Gruppenleistung: Leistungsvorteile von Gruppen
- Gruppenanalyse: Interaktionsprozessanalyse und Soziometrie
- Anwendungsbeispiele: Assessment-Center, teilautonome Gruppen
SkriptEs können Folien, die in der Vorlesung verwendet werden, im Anschluss an die Veranstaltung von einer Austauchplattform heruntergeladen werden.
LiteraturDie Literatur wird in Form eines Readers mit für die Themen der Vorlesung relevanten Textauszügen aus Fachbüchern angeboten.
Voraussetzungen / BesonderesDie Übungen dienen dazu, einzelne Themenbereiche der Vorlesung an praktischen Beispielen exemplarisch zu vertiefen.
851-0252-08LEvidence-Based Design: Methods and Tools For Evaluating Architectural Design Belegung eingeschränkt - Details anzeigen
Number of participants limited to 40

Particularly suitable for students of D-ARCH
W3 KP2SM. Gath Morad, B. Emo Nax, C. Hölscher
KurzbeschreibungStudents are taught a variety of evaluation methods to assess architectural design from the perspective of potential occupants. Students are given a theoretical background on evaluation in architecture as well as practical knowledge on evaluation methods such as virtual reality, agent-based simulations and space syntax analysis. This is a project-oriented course tailored for architecture students.
LernzielThe course aims to teach students how to evaluate architectural design projects from the perspective of potential occupants. The concept of evidence-based design is introduced through a design process applied to a specific case study. Students are given a theoretical background on the notion of evaluation in architecture and spatial cognition as well as practical knowledge on various evaluation methods such as virtual reality, agent-based simulations and space syntax analysis. The course covers a range of methods including virtual reality for architectural design and agent-based simulations as well as visibility analysis and network analysis. Students are expected to apply these methods to a case study of their choice or to example cases provided by the course team. 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 potential occupants 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".
851-0740-00LBig Data, Law, and Policy Belegung eingeschränkt - Details anzeigen
Number of participants limited to 35

Students will be informed by 1.3.2020 at the latest.
W3 KP2SS. Bechtold
KurzbeschreibungThis course introduces students to societal perspectives on the big data revolution. Discussing important contributions from machine learning and data science, the course explores their legal, economic, ethical, and political implications in the past, present, and future.
LernzielThis course is intended both for students of machine learning and data science who want to reflect on the societal implications of their field, and for students from other disciplines who want to explore the societal impact of data sciences. The course will first discuss some of the methodological foundations of machine learning, followed by a discussion of research papers and real-world applications where big data and societal values may clash. Potential topics include the implications of big data for privacy, liability, insurance, health systems, voting, and democratic institutions, as well as the use of predictive algorithms for price discrimination and the criminal justice system. Guest speakers, weekly readings and reaction papers ensure a lively debate among participants from various backgrounds.
851-0702-01LÖffentliches Baurecht
Besonders geeignet für Studierende D-BAUG
W2 KP2VO. Bucher
KurzbeschreibungVermittlung der Grundkenntnisse der auf ein Bauprojekt anwendbaren Vorschriften des Raumplanungs- und Baurechts (einschliesslich ausgewählter umweltrechtlicher Bereiche), des Baubewilligungsverfahrens sowie die Grundzüge des Vergaberechts.
LernzielVerständnis der Grundzüge der für die Planung und Realisierung eines Bauvorhabens massgebenden öffentlich-rechtlichen Bauvorschriften und Verfahrensabläufe sowie des Vergaberechts.
InhaltBehandelt werden folgende Themenbereiche: 1. Grundlagen des Raumplanungs- und Baurechts (Entwicklung, verfassungsmässige und gesetzliche Grundlagen, Grundsätze und Ziele der Raumplanung), 2. Raumplanungsrecht (des Bundes, der Kantone und der Gemeinden), 3. Öffentliches Baurecht (Erschliessung, Bauen innerhalb und ausserhalb der Bauzonen, materielle Bau- und Nutzungsvorschriften, 4. Ablauf des Baubewilligungsverfahrens, 5. Grundzüge des Vergaberechts
SkriptALAIN GRIFFEL, Raumplanungs- und Baurecht - in a nutshell, Dike Verlag, 3. A., Zürich 2017

CLAUDIA SCHNEIDER HEUSI, Vergaberecht - in a nutshell, Dike Verlag, 2. A., Zürich 2018

Die Vorlesung basiert auf diesen Lehrmitteln.
LiteraturPETER HÄNNI, Planungs-, Bau- und besonderes Umweltschutzrecht, 6. A., Bern 2016

WALTER HALLER/PETER KARLEN, Raumplanungs-, Bau- und Umweltrecht, Bd. I, 3. A., Zürich 1999
Voraussetzungen / BesonderesVoraussetzungen: Vorlesung Rechtslehre GZ (851-0703-00/01)
851-0735-11LEnvironmental Regulation: Law and Policy Belegung eingeschränkt - Details anzeigen
Number of participants limited to 20.

Particularly suitable for students of D-USYS
W3 KP1SJ. van Zeben
KurzbeschreibungThe aim of this course is to make students with a technical scientific background aware of the legal and political context of environmental policy in order to place technical solutions in their regulatory context.
LernzielThe aim of this course is to equip students with a legal and regulatory skill-set that allows them to translate their technical knowledge into a policy brief directed at legally trained regulators. More generally, it aims to inform students with a technical scientific background of the legal and political context of environmental policy. The focus of the course will be on international and European issues and regulatory frameworks - where relevant, the position of Switzerland within these international networks will also be discussed.
InhaltTopics covered in lectures:

(1) Environmental Regulation
a. Perspectives
b. Regulatory Challenges of Environment Problems
c. Regulatory Tools
(2) Law: International, European and national laws
a. International law
b. European law
c. National law
(3) Policy: Case studies

(i) Class participation (25%): Students will be expected to contribute to class discussions and prepare short memos on class readings.
(ii) Exam (75%) consisting of two parts:
a. Policy brief - a maximum of 2 pages (including graphs and tables);
b. Background document to the policy brief - this document sets out a more detailed and academic overview of the topic (maximum 8 pages including graphs and tables);
SkriptThe course is taught as a small interactive seminar and significant participation is expected from the students. Participation will be capped at 15 in order to maintain the interactive nature of the classes. All classes, readings, and assignments, are in English.

Teaching will take place over two weeks in February and March. The exam date will be in May.

During the second week of the teaching period, students will have individual 30-minute meetings with the lecturer to discuss their project.
LiteraturAn electronic copy of relevant readings will be provided to the students at no cost before the start of the lectures.
Voraussetzungen / BesonderesNo specific pre-existing legal knowledge is required, however all students must have successfully completed Grundzüge des Rechts (851-0708-00 V) or an equivalent course.

The course is (inter)related to materials discussed in Politikwissenschaft: Grundlagen (851-0577-00 V), Ressourcen- und Umweltökonomie (751-1551-00 V), Umweltrecht: Konzepte und Rechtsgebiete (851-0705-01 V), Rechtlicher Umgang mit natürlichen Ressourcen (701-0743-01 V), Environmental Governance (701-1651-00 G), Policy and Economics of Ecosystem Services (701-1653-00 G), International Environmental Politics: Part I (851-0594-00 V).
851-0585-38LData Science in Techno-Socio-Economic Systems Belegung eingeschränkt - Details anzeigen
Number of participants limited to 80

This course is thought be for students in the 5th semester or above with quantitative skills and interests in modeling and computer simulations.

Particularly suitable for students of D-INFK, D-ITET, D-MAVT, D-MTEC, D-PHYS
W3 KP3SN. Antulov-Fantulin
KurzbeschreibungThis course introduces how techno-socio-economic systems in our complex society can be better understood with techniques and tools of data science. Students shall learn how the fundamentals of data science are used to give insights into the research of complexity science, computational social science, economics, finance, and others.
LernzielThe goal of this course is to qualify students with knowledge on data science to better understand techno-socio-economic systems in our complex societies. This course aims to make students capable of applying the most appropriate and effective techniques of data science under different application scenarios. The course aims to engage students in exciting state-of-the-art scientific tools, methods and techniques of data science.
In particular, lectures will be divided into research talks and tutorials. The course shall increase the awareness level of students of the importance of interdisciplinary research. Finally, students have the opportunity to develop their own data science skills based on a data challenge task, they have to solve, deliver and present at the end of the course.
Voraussetzungen / BesonderesGood programming skills and a good understanding of probability & statistics and calculus are expected.
701-0786-00LMediationsverfahren in der Umweltplanung: Grundlagen und AnwendungenW2 KP2GK. Siegwart
KurzbeschreibungDie Lehrveranstaltung zeigt auf, wie mit Hilfe von Mediationsverfahren umweltplanerische Entscheidungen optimiert und Konflikte besser geregelt werden können. Dabei geht es insbesondere um den Bau von Windkraftanlagen zur Stromerzeugung, die Frackingtechnologie, die städtebauliche Planung und Umnutzung eines Industrieareals oder die Ausarbeitung eines Vogelschutz- oder eines Waldnutzungskonzepts.
Lernziel- Ein Verständnis für den gesetzlich vorgegebenen und gesellschaftlichen Umgang mit Umweltkonflikten entwickeln
- die wichtigsten partizipativen Verfahren und ihre Reichweite kennen
- Konzepte für die Durchführung und Evaluation von Mediationsverfahren erstellen
- Möglichkeiten und Grenzen einer kooperativen Umweltplanung abschätzen
- Schulung von kommunikativen Fähigkeiten (Präsentation, Moderation, Gesprächsführung, Verhandeln), namentlich im Rahmen einer Mediationssimulation
InhaltVorstellung der wichtigsten Verfahrensgrundsätze der Mediation. Einordnung vor dem Hintergrund des gesetzlichen Rahmens und der traditionellen Beteiligungs- und Konfliktkultur. Diskussion von Möglichkeiten und Grenzen der Mediationsverfahren anhand von aktuellen schweizerischen und internationalen Fallbeispielen, namentlich im Bereich der Windenergie. Im Rahmen von Einzel- und Gruppenübungen sowie einer halb-tägigen Mediationssimulation können die Studierenden u. a. Konfliktanalysen durchführen, Verfahrenskonzepte entwickeln sowie ihre eigenen kommunikativen Fähigkeiten und Verhandlungskompetenzen schulen.
SkriptEin Script/Reader zur Lehrveranstaltung wird verteilt.
066-0434-00LMaster's Thesis Belegung eingeschränkt - Details anzeigen
Zur Master-Arbeit wird nur zugelassen, wer:
a. das Bachelor-Studium erfolgreich abgeschlossen hat;
b. allfällige Auflagen für die Zulassung zum Master-Studiengang erfüllt hat.

Master-Arbeiten werden von einem oder mehreren Professoren und Professorinnen und allfälligen weiteren Personen geleitet und bewertet. Mindestens ein Professor oder eine Professorin muss einem der am Studiengang beteiligten Departemente nach Art. 2 angehören. Dies gilt auch für Master-Arbeiten, die ausserhalb der ETH Zürich ausgeführt werden.
O30 KP40DProfessor/innen
KurzbeschreibungA 6-months Master thesis completes the Master's program of Integrated Building Systems. With the thesis project students are expected to demonstrate their ability to independent and structured scientific thinking.
LernzielA 6-months Master thesis completes the Master's program of Integrated Building Systems. With the thesis project students are expected to demonstrate their ability to independent and structured scientific thinking.
InhaltA 6-months Master thesis completes the Master's program of Integrated Building Systems. With the thesis project students are expected to demonstrate their ability to independent and structured scientific thinking. The thesis can be performed either at ETH Zurich, an industrial enterprise, or in a research institution, but has to be advised by one or more professors affiliated with the Master program "Integrated building systems".
The responsible supervisor defines the topic in consultation with the student, together with the scope of work, criteria of assessment, and dates of beginning and delivery of the work.
Voraussetzungen / BesonderesOnly students who fulfil the following criteria are allowed to enrol for their master thesis:
a. successful completion of the bachelor program;
b. any additional requirements necessary to gain admission to the master program MBS have been successfully completed;
c. successful completion of all courses from the categories (fundamental, core and project courses and the semester project). Courses from categories "GESS" and "Specialized" can still be completed during the master thesis project.

The 6 months thesis can be performed either at ETH Zurich, an industrial enterprise or in a research institution, but has to be advised by one or more professors affiliated with the Master program "Integrated building systems".

The thesis-supervisor defines the topic together with the student. Before the start of the thesis the topic must be approved by the tutor.

Registration in mystudies required!
Das untenstehende Lehrangebot gilt nur für MSc Studierende mit Zulassungsauflagen.
101-0414-AALTransport Planning (Transportation I)
Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben.

Alle anderen Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen.
E-3 KP6RK. W. Axhausen
KurzbeschreibungDie Vorlesung stellt die wesentlichen Konzepte der Verkehrsplanung vor und erläutert in Theorie und Praxis deren wesentliche Ansätze und Verfahren.
LernzielDie Vorlesung gibt den Studenten die grundlegenden Werkzeuge und Theorien der Verkehrsplanung an die Hand.
InhaltGrundlegende Zusammenhänge zwischen Verkehr, Raum und Wirtschaftsentwicklung; Grundbegriffe; Messung und Beobachtung des Verkehrsverhaltens; die Methoden des Vier-Stufen-Ansatzes; Kosten-Nutzen-Analyse.
LiteraturOrtuzar, J. de D. and L. Willumsen (2011) Modelling Transport, Wiley, Chichester.