Suchergebnis: Katalogdaten im Herbstsemester 2017

Integrated Building Systems Master Information
Hauptfächer
Vertiefungsfächer
NummerTitelTypECTSUmfangDozierende
151-0235-00LThermodynamics of Novel Energy Conversion Technologies Belegung eingeschränkt - Details anzeigen
Number of participants limited to 100.
W4 KP3GC. S. Sharma, G. Sansavini
KurzbeschreibungIn the framework of this course we will look at a current electronic thermal and energy management strategies and novel energy conversion processes. The course will focus on component level fundamentals of these process and system level analysis of interactions among various energy conversion components.
LernzielThis course deals with liquid cooling based thermal management of electronics, reuse of waste heat and novel energy conversion and storage systems such as batteries, fuel cells and micro-fuel cells. The focus of the course is on the physics and basic understanding of those systems as well as their real-world applications. The course will also look at analysis of system level interactions between a range of energy conversion components.
InhaltPart 1: Fundamentals:
- Overview of exergy analysis, Single phase liquid cooling and micro-mixing;
- Thermodynamics of multi-component-systems (mixtures) and phase equilibrium;
- Electrochemistry;

Part 2: Applications:
- Basic principles of battery;
- Introduction to fuel cells;
- Reuse of waste heat from supercomputers
- Hotspot targeted cooling of microprocessors
- Microfluidic fuel cells

Part3: System- level analysis
- Integration of the components into the system: a case study
- Analysis of the coupled operations, identification of critical states
- Support to system-oriented design
SkriptLecture slides will be made available. Lecture notes will be available for some topics (in English).
Voraussetzungen / BesonderesThe course will be given in English:

1- Mid-term examination: Mid-term exam grade counts as 20% of the final grade.
2- Final exam: Written exam during the regular examination session. It counts as 80% of the final grade.
151-0113-00LApplied Fluid DynamicsW4 KP2V + 1UJ.‑P. Kunsch
KurzbeschreibungAngewandte Fluiddynamik
Die Methoden der Fluiddynamik spielen eine wichtige Rolle bei der Beschreibung einer Ereigniskette, welche die Freisetzung, Ausbreitung und Verdünnung gefährlicher Fluide in der Umgebung beinhaltet.
Tunnellüftungssysteme und -strategien werden vorgestellt, welche strengen Anforderungen während des Normalbetriebs und während eines Brandes genügen müssen.
LernzielAllgemein anwendbare Methoden der Strömungslehre und der Gasdynamik sollen hier an ausgewählten, aktuellen Fallbeispielen illustriert und geübt werden.
InhaltBei der Auslegung von umweltgerechten Prozess- und Verbrennungsanlagen sowie der Auswahl von sicheren Transport- und Lagerungsvarianten gefährlicher Stoffe wird häufig auf die Methoden der Fluiddynamik zurückgegriffen. Bei Unfällen, aber auch beim Normalbetrieb, können gefährliche Gase und Flüssigkeiten freigesetzt und durch den Wind oder Wasserströmungen weitertransportiert werden. Zu den vielfältigen möglichen Schadenseinwirkungen gehören z.B. Feuer und Explosionen bei zündfähigen Gemischen. Behandelte Themen sind u.a.: Ausströmen von flüssigen und gasförmigen Stoffen aus Behältern und Leitungen, Verdunstung aus Lachen und Verdampfung bei druckgelagerten Gasen, Ausbreitung und Verdünnung von Abgasfahnen im Windfeld, Deflagrations- und Detonationsvorgänge bei zündfähigen Gasen, Feuerbälle bei druckgelagerten Gasen, Schadstoff- und Rauchgasausbreitung in Tunnels (Tunnelbrände usw.).
Skriptnicht verfügbar
Voraussetzungen / BesonderesVoraussetzungen: Fluiddynamik I und II, Thermodynamik I und II
151-0185-00LRadiation Heat Transfer Information W4 KP2V + 1UP. Pozivil
KurzbeschreibungAdvanced course in radiation heat transfer
LernzielFundamentals of radiative heat transfer and its applications. Examples are combustion and solar thermal/thermochemical processes, and other applications in the field of energy conversion and material processing.
Inhalt1. Introduction to thermal radiation. Definitions. Spectral and directional properties. Electromagnetic spectrum. Blackbody and gray surfaces. Absorptivity, emissivity, reflectivity. Planck's Law, Wien's Displacement Law, Kirchhoff's Law.

2. Surface radiation exchange. Diffuse and specular surfaces. Gray and selective surfaces. Configuration factors. Radiation exchange. Enclosure theory, radiosity method. Monte Carlo.

3.Absorbing, emitting and scattering media. Extinction, absorption, and scattering coefficients. Scattering phase function. Optical thickness. Equation of radiative transfer. Solution methods: discrete ordinate, zone, Monte-Carlo.

4. Applications. Cavities. Selective surfaces and media. Semi-transparent windows. Combined radiation-conduction-convection heat transfer.
SkriptCopy of the slides presented.
LiteraturR. Siegel, J.R. Howell, Thermal Radiation Heat Transfer, 3rd. ed., Taylor & Francis, New York, 2002.

M. Modest, Radiative Heat Transfer, Academic Press, San Diego, 2003.
151-0103-00LFluiddynamik IIW3 KP2V + 1UP. Jenny
KurzbeschreibungEbene Potentialströmungen: Stromfunktion und Potential, Singularitätenmethode, instationäre Strömung, aerodynamische Begriffe.
Drehungsbehaftete Strömungen: Wirbelstärke und Zirkulation, Wirbeltransportgleichung, Wirbelsätze von Helmholtz und Kelvin.
Kompressible Strömungen: Stromfadentheorie, senkrechter und schiefer Verdichtungsstoss, Laval-Düse, Prandtl-Meyer-Expansion, Reibungseinfluss.
LernzielErweiterung der Grundlagen der Fluiddynamik.
Grundbegriffe, Phänomene und Gesetzmässigkeiten von drehungsfreien, drehungsbehafteten und eindimensionalen kompressiblen Strömungen vermitteln.
InhaltEbene Potentialströmungen: Stromfunktion und Potential, komplexe Darstellung, Singularitätenmethode, instationäre Strömung, aerodynamische Begriffe.
Drehungsbehaftete Strömungen: Wirbelstärke und Zirkulation, Wirbeldynamik und Wirbeltransportgleichung, Wirbelsätze von Helmholtz und Kelvin.
Kompressible Strömungen: Stromfadentheorie, senkrechter und schiefer Verdichtungsstoss, Laval-Düse, Prandtl-Meyer-Expansion, Reibungseinfluss.
Skriptja
(Siehe auch untenstehende Information betreffend der Literatur.)
LiteraturP.K. Kundu, I.M. Cohen, D.R. Dowling: Fluid Mechanics, Academic Press, 5th ed., 2011 (includes a free copy of the DVD "Multimedia Fluid Mechanics")

P.K. Kundu, I.M. Cohen, D.R. Dowling: Fluid Mechanics, Academic Press, 6th ed., 2015 (does NOT include a free copy of the DVD "Multimedia Fluid Mechanics")
Voraussetzungen / BesonderesAnalysis I/II, Fluiddynamik I, Grundbegriffe der Thermodynamik (Thermodynamik I).

Für die Formulierung der Grundlagen der Fluiddynamik werden unabdingbar Begriffe und Ergebnisse aus der Mathematik benötigt. Erfahrungsgemäss haben einige Studierende damit Schwierigkeiten.
Es wird daher dringend empfohlen, insbesondere den Stoff über
- elementare Funktionen (wie sin, cos, tan, exp, deren Umkehrfunktionen, Ableitungen und Integrale) sowie über
- Vektoranalysis (Gradient, Divergenz, Rotation, Linienintegral ("Arbeit"), Integralsätze von Gauss und von Stokes, Potentialfelder als Lösungen der Laplace-Gleichung) zu wiederholen. Ferner wird der Umgang mit
- komplexen Zahlen und Funktionen (siehe Anhang des Skripts Analysis I/II Teil C und Zusammenfassung im Anhang C des Skripts Fluiddynamik) benötigt.

Literatur z.B.: U. Stammbach: Analysis I/II, Skript Teile A, B und C.
401-0647-00LIntroduction to Mathematical Optimization Information W5 KP2V + 1UD. Adjiashvili
KurzbeschreibungIntroduction to basic techniques and problems in mathematical optimization, and their applications to a variety of problems in engineering.
LernzielThe goal of the course is to obtain a good understanding of some of the most fundamental mathematical optimization techniques used to solve linear programs and basic combinatorial optimization problems. The students will also practice applying the learned models to problems in engineering.
InhaltTopics covered in this course include:
- Linear programming (simplex method, duality theory, shadow prices, ...).
- Basic combinatorial optimization problems (spanning trees, shortest paths, network flows, ...).
- Modelling with mathematical optimization: applications of mathematical programming in engineering.
LiteraturInformation about relevant literature will be given in the lecture.
Voraussetzungen / BesonderesThis course is meant for students who did not already attend the course "Mathematical Optimization", which is a more advance lecture covering similar topics. Compared to "Mathematical Optimization", this course has a stronger focus on modeling and applications.
227-0477-00LAcoustics IW6 KP4GK. Heutschi
KurzbeschreibungIntroduction to the fundamentals of acoustics in the area of sound field calculations, measurement of acoustical events, outdoor sound propagation and room acoustics of large and small enclosures.
LernzielIntroduction to acoustics. Understanding of basic acoustical mechanisms. Survey of the technical literature. Illustration of measurement techniques in the laboratory.
InhaltFundamentals of acoustics, measuring and analyzing of acoustical events, anatomy and properties of the ear. Outdoor sound propagation, absorption and transmission of sound, room acoustics of large and small enclosures, architectural acoustics, noise and noise control, calculation of sound fields.
Skriptyes
101-0577-00LAn Introduction to Sustainable Development in the Built EnvironmentW3 KP2GG. Habert
KurzbeschreibungIn 2015, the UN Conference in Paris shaped future world objectives to tackle climate change.
in 2016, other political bodies made these changes more difficult to predict.
What does it mean for the built environment?
This course provides an introduction to the notion of sustainable development when applied to our built environment
LernzielAt the end of the semester, the students have an understanding of the term of sustainable development, its history, the current political and scientific discourses and its relevance for our built environment.

In order to address current challenges of climate change mitigation and resource depletion, students will learn a holistic approach of sustainable development. Ecological, economical and social constraints will be presented and students will learn about methods for argumentation and tools for assessment (i.e. life cycle assessment).

For this purpose an overview of sustainable development is presented with an introduction to the history of sustainability and its today definition as well as the role of cities, urbanisation and material resources (i.e. energy, construction material) in social economic and environmetal aspects.

The course aims to promote an integral view and understanding of sustainability and describing different spheres (social/cultural, ecological, economical, and institutional) that influence our built environment.

Students will acquire critical knowledge and understand the role of involved stakeholders, their motivations and constraints, learn how to evaluate challenges, identify deficits and define strategies to promote a more sustainable construction.

After the course students should be able to define the relevance of specific local, regional or territorial aspects to achieve coherent and applicable solutions toward sustainable development.

The course offers an environmental, socio-economic and socio-technical perspective focussing on buildings, cities and their transition to resilience with sustainable development. Students will learn on theory and application of current scientific pathways towards sustainable development.
InhaltThe following topics give an overview of the themes that are to be worked on during the lecture.

- Overview on the history and emergence of sustainable development
- Overview on the current understanding and definition of sustainable development

Methods
- Method 1: Life cycle assessment (planning, construction, operation/use, deconstruction)
- Method 2: Life Cycle Costing
- Method 3: Labels and certification

Main issues:
- Operation energy at building, urban and national scale
- Mobility and density questions
- Embodied energy for developing and developed world

- Synthesis: Transition to sustainable development
SkriptAll relevant information will be online available before the lectures. For each lecture slides of the lecture will be provided.
LiteraturA list of the basic literature will be offered on a specific online platform, that could be used by all students attending the lectures.
101-0417-00LTransport Planning MethodsW6 KP4GK. W. Axhausen
KurzbeschreibungDiese Veranstaltung vermittelt das notwendige Wissen, um verkehrsplanerische Modelle zu entwerfen, welche die Lösung gegebener Planungsaufgaben unterstützen. Dabei wird das komplexe Vorhersageproblem in Teilprobleme zerlegt.
Der Kurs besteht aus einem Vorlesungsteil, in dem das theoretische Wissen vermittelt wird und einem angewandten Teil, in dem die Studierenden ein eigenes Modell erstellen.
Lernziel- Kenntnis der gängigen Verfahren der Verkehrsplanung
- Fähigkeit zur selbständigen Entwicklung eines Verkehrsmodels, welches fähig ist gestellte Aufgaben / Fragen zu lösen / zu beantworten
- Verständnis der Implementation der in der Verkehrsplanung am häufigsten verwendeten Algorithmen.
InhaltDiese Veranstaltung vermittelt das notwendige Wissen, um verkehrsplanerische Modelle zu entwerfen, welche die Lösung gegebener Planungsaufgaben unterstützen. Mögliche solche Aufgaben sind die Abschätzung des Verkehrsaufkommens, die Vorhersage der zu erwartenden Nutzung von neuen Linien des öffentlichen Verkehrs und die Beurteilung von Effekten durch Infrastrukturprojekte oder veränderte Betriebsreglemente auf z.B. die Entwicklung der Emissionen einer Stadt.

Um die Aufgabe zu lösen, wird das komplexe Vorhersageproblem in Teilprobleme zerlegt. Zur Lösung der Teilaufgaben kommen verschiedene Algorithmen zum Einsatz, wie Randausgleichsverfahren, kürzeste Wege Algorithmen und die Methode der sukzessiven Mittelwerte.

Der Kurs besteht aus einem Vorlesungsteil, in dem das theoretische Wissen vermittelt wird und einem angewandten Teil, in dem die Studierenden ein eigenes Modell erstellen. Dieser Teil findet in Form eines Tutorials statt und beinhaltet die Entwicklung eines Computerprogramms. Der Programmier-Teil ist gut geführt und ausdrücklich geeignet für Studierende mit wenig Programmiererfahrung.
SkriptDie Folien zur Vorlesung werden elektronisch zur Verfügung gestellt.
LiteraturWillumsen, P. and J. de D. Ortuzar (2003) Modelling Transport, Wiley, Chichester.

Cascetta, E. (2001) Transportation Systems Engineering: Theory and Methods, Kluwer Academic Publishers, Dordrecht.

Sheffi, Y. (1985) Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods, Prentice Hall, Englewood Cliffs.

Schnabel, W. and D. Lohse (1997) Verkehrsplanung, 2. edn., vol. 2 of Grundlagen der Strassenverkehrstechnik und der Verkehrsplanung, Verlag für Bauwesen, Berlin.
101-0507-00LInfrastructure Management 3: Optimisation Tools
Remark:
New title from HS17 on: Infrastructure Management 3: Optimisation Tools now in HS. Old title until FS17: Infrastructure Maintenance Management.
W3 KP2GB. T. Adey
KurzbeschreibungThis course will provide an introduction to the methods and tools that can be used to determine optimal inspection and intervention strategies and work programs for infrastructure.
LernzielUpon successful completion of this course students will be able:
- to use preventive maintenance models, such as block replacement, periodic preventive maintenance with minimal repair, and preventive maintenance based on parameter control, to determine when, where and what should be done to maintain infrastructure
- to take into consideration future uncertainties in appropriate ways when devising and evaluating monitoring and management strategies for physical infrastructure
- to use operation research methods to find optimal solutions to infastructure management problems
InhaltPart 1:
Explanation of the principal models of preventative maintenance, including block replacement, periodic group repair, periodic maintenance with minimal repair and age replacement, and when they can be used to determine optimal intervention strategies

Part 2:
Explanation of preventive maintenance models that are based on parameter control, including Markovian models and opportunistic replacement models

Part 3:
Explanation of the methods that can be used to take into consideration the future uncertainties in the evaluation of monitoring strategies

Part 4:
Explanation of how operations research methods can be used to solve typical infrastructure management problems.
SkriptA script will be given out at the beginning of the course.
Class relevant materials will be distributed electronically before the start of class.
A copy of the slides will be handed out at the beginning of each class.
Voraussetzungen / BesonderesSuccessful completion of IM1: 101-0579-00 Evaluation tools is a prerequisite for this course.
363-0387-00LCorporate SustainabilityW3 KP2GV. Hoffmann
KurzbeschreibungThe lecture explores current challenges of corporate sustainability and prepares students to become champions for sustainable business practices. In the beginning, traditional lectures are complemented by e-modules that allow students to train critical thinking skills. In the 2nd half of the semester, students work in teams on sustainability challenges related to water, energy, mobility, and food.
LernzielStudents
- assess the limits and the potential of corporate sustainability for sustainable development
- develop critical thinking skills (argumentation, communication, evaluative judgment) that are useful in the context of corporate sustainability using an innovative writing and peer review method.
- recognize and realize opportunities through team work for corporate sustainability in a business environment
- present strategic recommendations in teams with different output formats (tv-style debate, consultancy pitch, technology model walk-through, campaign video)
InhaltIn the first part of the semester, Prof. Volker Hoffmann will share his insights on corporate sustainability with you through a series of lectures. They introduce you to a series of critical thinking exercises and build a foundation for your group work. In the second part of the semester, you participate in one of four tracks in which SusTec researchers will coach your groups through a seven-step program. Our ambition is that you improve your analytic and organizational skills and that you can confidently stand up for corporate sustainability in a professional setting. You will share the final product of your work with fellow students in a final puzzle session at the end of the semester.

Link
SkriptPresentation slides will be made available on moodle prior to lectures.
LiteraturLiterature recommendations will be distributed during the lecture
402-0809-01LIntroduction to Computational Physics (for Civil Engineers)W4 KP2V + 1UH. J. Herrmann
KurzbeschreibungDiese Vorlesung bietet eine Einführung in Computersimulationsmethoden für physikalische Probleme und deren Implementierung auf PCs und Supercomputern: klassische Bewegungsgleichungen, partielle Differentialgleichungen (Wellengleichung, Diffussionsgleichung, Maxwell-Gleichungen), Monte Carlo Simulation, Perkolation, Phasenübergänge
Lernziel
InhaltEinführung in die rechnergestützte Simulation physikalischer Probleme. Anhand einfacher Modelle aus der klassischen Mechanik, Elektrodynamik und statistischen Mechanik sowie interdisziplinären Anwendungen werden die wichtigsten objektorientierten Programmiermethoden für numerische Simulationen (überwiegend in C++) erläutert. Daneben wird eine Einführung in die Programmierung von Vektorsupercomputern und parallelen Rechnern, sowie ein Überblick über vorhandene Softwarebibliotheken für numerische Simulationen geboten.
Voraussetzungen / BesonderesVorlesung und Uebung in Englisch
402-0809-00LIntroduction to Computational PhysicsW8 KP2V + 2UH. J. Herrmann
KurzbeschreibungDiese Vorlesung bietet eine Einführung in Computersimulationsmethoden für physikalische Probleme und deren Implementierung auf PCs und Supercomputern: klassische Bewegungsgleichungen, partielle Differentialgleichungen (Wellengleichung, Diffussionsgleichung, Maxwell-Gleichungen), Monte Carlo Simulation, Perkolation, Phasenübergänge
Lernziel
InhaltEinführung in die rechnergestützte Simulation physikalischer Probleme. Anhand einfacher Modelle aus der klassischen Mechanik, Elektrodynamik und statistischen Mechanik sowie interdisziplinären Anwendungen werden die wichtigsten objektorientierten Programmiermethoden für numerische Simulationen (überwiegend in C++) erläutert. Daneben wird eine Einführung in die Programmierung von Vektorsupercomputern und parallelen Rechnern, sowie ein Überblick über vorhandene Softwarebibliotheken für numerische Simulationen geboten.
Voraussetzungen / BesonderesVorlesung und Uebung in Englisch, Pruefung wahlweise auf Deutsch oder Englisch
101-0187-00LStructural Reliability and Risk Analysis Information W3 KP2GS. Marelli
KurzbeschreibungStructural reliability aims at quantifying the probability of failure of systems due to uncertainties in their design, manufacturing and environmental conditions. Risk analysis combines this information with the consequences of failure in view of optimal decision making. The course presents the underlying probabilistic modelling and computational methods for reliability and risk assessment.
LernzielThe goal of this course is to provide the students with a thorough understanding of the key concepts behind structural reliability and risk analysis. After this course the students will have refreshed their knowledge of probability theory and statistics to model uncertainties in view of engineering applications. They will be able to analyze the reliability of a structure and to use risk assessment methods for decision making under uncertain conditions. They will be aware of the state-of-the-art computational methods and software in this field.
InhaltEngineers are confronted every day to decision making under limited amount of information and uncertain conditions. When designing new structures and systems, the design codes such as SIA or Euro- codes usually provide a framework that guarantees safety and reliability. However the level of safety is not quantified explicitly, which does not allow the analyst to properly choose between design variants and evaluate a total cost in case of failure. In contrast, the framework of risk analysis allows one to incorporate the uncertainty in decision making.

The first part of the course is a reminder on probability theory that is used as a main tool for reliability and risk analysis. Classical concepts such as random variables and vectors, dependence and correlation are recalled. Basic statistical inference methods used for building a probabilistic model from the available data, e.g. the maximum likelihood method, are presented.

The second part is related to structural reliability analysis, i.e. methods that allow one to compute probabilities of failure of a given system with respect to prescribed criteria. The framework of reliability analysis is first set up. Reliability indices are introduced together with the first order-second moment method (FOSM) and the first order reliability method (FORM). Methods based on Monte Carlo simulation are then reviewed and illustrated through various examples. By-products of reliability analysis such as sensitivity measures and partial safety coefficients are derived and their links to structural design codes is shown. The reliability of structural systems is also introduced as well as the methods used to reassess existing structures based on new information.

The third part of the course addresses risk assessment methods. Techniques for the identification of hazard scenarios and their representation by fault trees and event trees are described. Risk is defined with respect to the concept of expected utility in the framework of decision making. Elements of Bayesian decision making, i.e. pre-, post and pre-post risk assessment methods are presented.

The course also includes a tutorial using the UQLab software dedicated to real world structural reliability analysis.
SkriptSlides of the lectures are available online every week. A printed version of the full set of slides is proposed to the students at the beginning of the semester.
LiteraturAng, A. and Tang, W.H, Probability Concepts in Engineering - Emphasis on Applications to Civil and Environmental Engineering, 2nd Edition, John Wiley & Sons, 2007.

S. Marelli, R. Schöbi, B. Sudret, UQLab user manual - Structural reliability (rare events estimation), Report UQLab-V0.92-107.
Voraussetzungen / BesonderesBasic course on probability theory and statistics
701-1346-00LCarbon Mitigation Information W3 KP2GN. Gruber
KurzbeschreibungFuture climate change can only kept within reasonable bounds when CO2 emissions are drastically reduced. In this course, we will discuss a portfolio of options involving the alteration of natural carbon sinks and carbon sequestration. The course includes introductory lectures, presentations from guest speakers from industry and the public sector, and final presentations by the students.
LernzielThe goal of this course is to investigate, as a group, a particular set of carbon mitigation/sequestration options and to evaluate their potential, their cost, and their consequences.
InhaltFrom the large number of carbon sequestration/mitigation options, a few options will be selected and then investigated in detail by the students. The results of this research will then be presented to the other students, the involved faculty, and discussed in detail by the whole group.
SkriptNone
LiteraturWill be identified based on the chosen topic.
Voraussetzungen / BesonderesExam: No final exam. Pass/No-Pass is assigned based on the quality of the presentation and ensuing discussion.
063-0603-00LDigital Urban Simulation Information W2 KP4GE. Tapias Pedraza, G. Schmitt
KurzbeschreibungIn this teaching unit architectural and urban design are analyzed by current computational methods. Based on these analyses the effects of plannings can be simulated and understood. An important focus of this course is the interpretation of the analysis and simulation results and the application of these correspondent methods in early planning phases.
LernzielThe students learn how the design and planning of cities can be evidence based by using scientific methods. The teaching unit convey knowledge in state-of-the-art and emerging spatial analysis and simulation methods and equip students with skills in modern software systems. The course consists of lectures, associated exercises and workshops, as well as of one integral project work.
InhaltIn a series of theory lectures we explore how the design and planning of cities can be evidence based by using scientific methods. By various exercises the students are equipped with skills in modern software systems. In an integral project work knowledge in state-of-the-art and emerging spatial analysis and simulation methods is deepened. Based on the imparted methods the effects of planning and design interventions can be simulated and understood. An important focus of this course is the interpretation of the analysis and simulation results and the application of the correspondent computational methods in early planning phases.
052-0623-17LInformation Architecture and Future Cities: Responsive Cities Information W2 KP1VG. Schmitt
KurzbeschreibungCities become first smart and then responsive. Dynamic behaviour differentiates the Responsive City from the Smart City. The Responsive City we present and explore in this course builds on Smart City technology, but places the human in the centre of decision-making, design, and management of the city.
LernzielStudents gain insight into the next generation of design processes for architects and urban designers, and into concepts of the Information Architecture of Responsive Cities. To describe the potential of Responsive Cities, we define the concepts of citizen-design science, complexity science, responsive livability, responsive governance, and responsive design and city planning. The seminar is highly interactive and discusses visionary case studies in Europe and Asia and new techniques in Big Data informed responsive urban design. Apart from learning about and experiencing Information Architecture and Responsive Cities, the course also introduces research and management skills that will distinguish the future ETH architect. An iBook and the edX Massive Open Online Course (MOOC) series on Future Cities support the course. The course will run in parallel with the fourth edition of our MOOC on Responsive Cities.
InhaltWhat will happen when cities change from static configurations into responsive and dynamic structures? What does it mean for buildings that undergo the same changes? What is the impact on architectural and urban design education? How can citizens influence this development? The Responsive Cities course will answer these questions and supply you with the necessary skills and knowledge to understand and design such dynamic structures. Responsive Cities are about bringing cities back to their citizens. Responsive cities change the way the technology of a smart city is used. Rather than using data that are centrally collected and stored, you will see platforms on which the citizens place the data and the information they decide to share. With this, your own responsibility becomes a foundation of a Responsive City. In the ideal Responsive City, citizens can move from complaining to designing. To get a glimpse what this could mean, you will work with our tried and tested, interactive online urban design, massing and analysis web modeller "Qua-kit". Through using the Qua-kit modeller, you can share your findings; you can comment, vote, and make suggestions on the results of others and understand how cities around the world can benefit from Big Data-informed Urban Design and its dynamics.
SkriptiBook INFORMATION CITIES
LiteraturThe necessary texts will be found on the Chair's website at: Link. We specifically recommend the consultation of the Future Cities Website at: Link during the entire course. The iBook INFORMATION CITIES is available in the iBooks Store for free.
Voraussetzungen / BesonderesInteractive seminar including 3 exercises
052-0621-17LCreative Data Mining: Uncover and Evaluate Information W2 KP2UG. Schmitt
KurzbeschreibungThis course will provide students a hands-on experience with machine learning (ML) techniques for data processing and analysis. Since future technologies increasingly rely on ML, it is important for students to learn creative ways of applying ML to better understand urban systems. The course covers a wider range of techniques including supervised and unsupervised learning methods.
LernzielTo teach the participants how to collect meaningful data, pre-process or filter messy data, analyze and interpret real spatial and temporal data in order to work with quantifiable qualities in urban planning. This is achieved by using actual data from a recent study conducted at the Chair, and analyzing it with different data processing and machine learning techniques.

The goal of the course is to explore a specific research question about the urban environment and test the stated hypothesis using different techniques presented in the course, thus preparing students with a skill-set to further support their design and decision making processes.
InhaltAll methods taught in the course will be applied to a common project to evaluate various dynamics of the urban environment. Students will work with time-series and geo-referenced data including temperature, relative humidity, illuminance, noise, people density, and dust particulate matter. Subjective impression survey data will also be integrated into the student projects to further explore influencing factors of the urban environment on our perceptual experiences. A selected neighborhood in the city of Zurich will be used as the case study and each student will present the findings of their research question in a final project.

Additionally, there are two of non-architectural skills the participants can develop during this course. First is an introduction to programming where at a minimum they can successfully copy and paste code-snippets to customize the computational tools presented in the course. Second, how clustering methods like PCA or K-Means could be applied in an architectural context.
LiteraturAdditional information may be found under the following link: Link

Please feel free to get in contact with our team by sending an email to Danielle Griego Link
Voraussetzungen / BesonderesNo programming skills are required.
063-0607-00LEnergy- and Climate Systems IIIW2 KP2VA. Schlüter
KurzbeschreibungThe master course ‘Energy- and Climate Systems III – Climate Responsive Design’ addresses passive and active design strategies and methods to design buildings that respond to local climate as well as to challenges of global climate change. The course consists of six inputs lectures on specific topics and five hands-on exercises in class using different computational tools.
LernzielThe input lectures outline the physical mechanisms and related design strategies for comfortable buildings in different climate zones as well as exemplary buildings in which these methods have been influencing the architectural design of the building. For each of the lecture topics, students will work on hands-on exercises using Rhino/Grashopper and plugins on small building examples in order to apply strategies and observe the effect and the interactions with design. As a final project, students will use the methods practiced to develop a small design proposal in a specific climate zone.

The objective of this lecture is for students to be able to identify the properties of a site for its implications on interior climate/comfort and energy consumption. Based on this analysis, students know passive and active approaches and concrete measures to provide a comfortable interior climate and their implications on architectural design. Students are familiar with the underlying design process and are skilled in using computational toolsets to apply these principles in own building design projects.
Inhalt1. Introduction to Climate Responsive Design
2. Climate and Site Analysis
3. Passive Solar
4. Active Solar
5. Heat Flows and Storage
6. Natural and Hybrid Ventilation
SkriptThe slides from the lecture serve as lecture notes and are available as download (PDF).
LiteraturA list of relevant literature is available at the chair.
Voraussetzungen / BesonderesRequirements:
MSc Arch: Successful participation in the course 'Energie- und Klimasysteme I + II'

MSc MBS / Eng: Successful participation in the course 'Building Systems'

All students need to be capable of working with 'Rhino / Grashopper 'modeling software on 'Windows' or willing to acquire the necessary skills before or during the course.

Noch Bachelor students allowed to this course!
051-0159-00LUrban Design I Information
Auslaufender Studiengang nach Reglement BSc 2011.
W1 KP2VH. Klumpner
KurzbeschreibungEach lecture introduces a contemporary city. Three tools per city describe urban development and are critically presented as strategies and tactics, extracted from cities where they have become exemplary practice. They show urban conditions, models and operational modes. They provide understanding of how urban design is shaping the city, and how they can be incorporated in future design projects.
LernzielHow can we read cities and recognise current trends and urban phenomena? The lectures series will produce a catalogue of operational urban tools as a series of critical case studies, and as basis for future practice. Urban Stories introduces a repertoire of urban design instruments to the students.
This will empower them to read cities and apply these tools in the urban environment. The course will approach the topic employing analytical cases on different scales, geographies, in diverse socio-political and economical environments. With our collection of tools compiled in a 'toolbox', we aim to tell the fundamental story of contemporary urban development. This specific analysis offers insight and knowledge that helps students to make informed design decisions. The tools are grouped in thematic clusters, compared and interpreted. This approach sensibilities the students to understand how to operate in different local but also international contexts.
InhaltUrban form cannot be reduced to the physical space. Cities are the result of social construction, under the influence of technologies, ecology, culture, the impact of experts and accidents. Urban un-concluded processes respond to political interests, economic pressure, cultural inclinations, along with the imagination of architects and urbanists and the informal powers at work in complex adaptive systems. Current urban phenomena are the result of an urban evolution. The facts stored in urban environments include contributions from its entire lifecycle. That is true for the physical environment, but also for non-physical aspects, the imaginary city that exists along with its potentials and problems and with the conflicts that have evolved over time. Knowledge and understanding along with a critical observation of the actions and policies are necessary to understand the diversity and instability present in the contemporary city and to understand how urban form evolved to its current state.

How did cities develop into the cities we live in now? Which urban plans, instruments, visions, political decisions, economic reasonings, cultural inputs and social organisation have been used to operate in urban settlements in specific moments of change? We have chosen cities that are exemplary in illustrating how these instruments have been implemented and how they have shaped urban environments. We transcribe these instruments into urban operational tools that we have recognized and collected within existing tested cases in contemporary cities across the globe.

This lecture series will introduce urban knowledge and the way it has introduced urban models and operational modes within different concrete realities, therefore shaping cities. Urban knowledge will be translated into operational tools, extracted from cities where they have been tested and become exemplary samples, most relevant for providing the understanding of how urban landscape has taken shape. The tools are clustered in twelve thematic clusters and three tool scales for better comparability and cross-reflection.

Tool case studies are compiled into a toolbox, which we use as templates to read the city and to critically reflect upon it. The presented contents are meant to serve as inspiration for positioning in future professional life as well as to provide instruments for future design decisions.
SkriptThe learning material, available via Link is comprised of:
- Toolbox 'Reader' with introduction to the lecture course and tool summaries
- Weekly exercise tasks
- Infographics with basic information of each city
- Quiz question for each tool
- Additional reading material

The compiled learning material can be downloaded from the student-server: afp://brillembourg-klumpner-server.ethz.ch

Please check also the Chair website for more information: Link

For a brief digital overview of all presented cities in the lecture series (not official learning material): Link
LiteraturPlease see 'Skript', (a digital reader is available)
Voraussetzungen / Besonderes"Semesterkurs" (semester course) students from other departments or students taking this lecture as GESS / Studium Generale course as well as exchange students must submit a research paper, which will be subject to the performance assessment: "Bestanden" (pass) or "Nicht bestanden" (failed) as the performance assessment type, for "Urban Design I: Urban Stories" taken as a semester course, is categorized as "unbenotete Semesterleistung" (ungraded semester performance).
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