Suchergebnis: Katalogdaten im Frühjahrssemester 2021

Bauingenieurwissenschaften Master Information
Master-Studium (Studienreglement 2020)
Vertiefungsfächer
Vertiefung in Bau- und Erhaltungsmanagement
NummerTitelTypECTSUmfangDozierende
101-0579-00LInfrastructure Management 2: Evaluation ToolsW+6 KP2GB. T. Adey, S. Kerwin, S. Moghtadernejad
KurzbeschreibungThis course provides tools to predict the service being provided by infrastructure in situations where the infrastructure is expected to

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

2) to change suddenly with relatively large uncertainty, e.g. due to being washed away from an extreme flood.
LernzielThe course learning objective is to equip students with tools to be used to the service being provided from infrastructure.
The course increases a student's ability to analyse complex problems and propose solutions and to use state-of-the-art methods of analysis to assess complex problems
InhaltReliability
Availability and maintainability
Regression analysis
Event trees
Fault trees
Markov chains
Neural networks
Bayesian networks
SkriptAll necessary materials (e.g. transparencies and hand-outs) will be distributed before class.
LiteraturAppropriate reading material will be assigned when necessary.
Voraussetzungen / BesonderesAlthough not an official prerequisite, it is perferred that students have taken the IM1:Process course first. Understanding of the infrastructure management process enables a better understanding of where and how the tools introduced in this course can be used in the management of infrastructure.
101-0588-01LRe-/Source the Built EnvironmentW+3 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.
101-0517-01LProject Management: Pre-Tender to Contract ExecutionW+4 KP2GJ. J. Hoffman
KurzbeschreibungThis course (PM 2)will provide a comprehensive overview and understanding of the techniques, processes, tools and terminology to manage the Project Triangle (time, cost, quality) and to organize, analyze, control and report a complex project from Pre-Tender stage to Contract signature and Notice to Proceed. This course is part 2 of a 3 part course, see notice below.
LernzielUpon successful completion of this course students will have the understanding of the Project Management duties and responsibilities from the Pre-Tender stage of a project to Contract Execution.
Inhalt- Project scope definition and project organization
- Technical specification proposals
- Work Breakdown Structure
- Estimating
- Schedule development
- Interface management
- Resource and cost integration
- Risk and opportunity identification and quantification
- Contract review and analysis
- Project life cycle
- Contract Execution - Project Manager Check List
SkriptThe slides will either be distributed at the beginning of the class, or made available online (via Moodle) prior to class. A copy of the appropriate chapter of the script, the assignment and any other assigned reading materials will be available via Moodle.
LiteraturAppropriate reading material (e.g., chapters out of certain textbooks or trade articles) will be assigned when necessary and made available via Moodle.
Voraussetzungen / BesonderesThis is part 2 of a 3 part course. Part 1 will give the student an introduction to general tools in project management. Part 3 will take the student through Project Execution of the Project.

The students will be randomly assigned to teams of 6 max. Students will be graded as a team based on the final Project report and the in-class oral presentation of the Project Proposal as well as a final exam (50% exam and 50% project report and presentation). Homework will not be graded but your final report and presentation will consist mostly of your homework assignments consolidated and put in a report and presentation format.
102-0348-00LProspective Environmental Assessments
Prerequisite for this lecture is basic knowledge of environmental assessment tools, such as material flow analysis, risk assessment and life cycle assessment.
Students without previous knowledge in these areas need to read according textbooks prior to or at the beginning of the lecture.
W3 KP2GA. Frömelt, N. Heeren, A. Spörri
KurzbeschreibungThis lecture deals with prospective assessments of emerging technologies as well as with the assessment of long-term environmental impact caused by today's activities.
Lernziel- Understanding prospective environmental assessments, including scenario analysis techniques, prospective emission models, dynamic MFA and LCA.
- Ability to properly plan and conduct prospective environmental assessment studies, for example on emerging technologies or on technical processes that cause long-term environmental impacts.
- Being aware of the uncertainties involved in prospective studies.
- Getting to know measures to prevent long-term emissions or impact in case studies
- Knowing the arguments in favor and against a temporally differentiated weighting of environmental impacts (discounting)
Inhalt- Scenario analysis
- Dynamic material flow analysis
- Temporal differentiation in LCA
- Systems dynamics tools
- Assessment of future and present environmental impact
- Case studies
SkriptLecture slides and further documents will be made available on Moodle.
102-0248-00LInfrastructure Systems in Urban Water Management Information
Prerequisites: 102-0214-02L Urban Water Management I and 102-0215-00L Urban Water Management II.
W3 KP2GJ. P. Leitão Correia , M. Maurer, A. Scheidegger
KurzbeschreibungAn increasing demand for infrastructure management skills can be observed in the environmental engineering practice. This course gives an introductory overview of infrastructure management skills needed for urban water infrastructures, with a specific focus on performance, risk and engineering economics analyses.
LernzielAfter successfully finishing the course, the participants will have the following skills and knowledge:
- Know the key principles of infrastructure management
- Know the basics of performance and risk assessment
- Can perform basic engineering economic analysis
- Know how to quantify the future rehabilitation needs
InhaltThe nationwide coverage of water distribution and wastewater treatment is one of the major public works achievements in Switzerland and other countries. Annually and per person, 135,000 L of drinking water is produced and distributed and over 535,000 L of stormwater and wastewater is drained. These impressive services are done with a pipe network with a length of almost 200,000 km and a total replacement value of 30,000 CHF per capita.

Water services in Switzerland are moving from a phase of new constructions into one of maintenance and optimization. The aim today must be to ensure that existing infrastructure is professionally maintained, to reduce costs, and to ensure the implementation of modern, improved technologies and approaches. These challenging tasks call for sound expertise and professional management.

This course gives an introduction into basic principles of water infrastructure management. The focus is primarily on Switzerland, but most methods and conclusions are valid for many other countries.
SkriptThe script 'Engineering Economics for Public Water Utilities' can be downloaded from the moodle course page.
701-0104-00LStatistical Modelling of Spatial DataW3 KP2GA. J. Papritz
KurzbeschreibungIn environmental sciences one often deals with spatial data. When analysing such data the focus is either on exploring their structure (dependence on explanatory variables, autocorrelation) and/or on spatial prediction. The course provides an introduction to geostatistical methods that are useful for such analyses.
LernzielThe course will provide an overview of the basic concepts and stochastic models that are used to model spatial data. In addition, participants will learn a number of geostatistical techniques and acquire familiarity with R software that is useful for analyzing spatial data.
InhaltAfter an introductory discussion of the types of problems and the kind of data that arise in environmental research, an introduction into linear geostatistics (models: stationary and intrinsic random processes, modelling large-scale spatial patterns by linear regression, modelling autocorrelation by variogram; kriging: mean square prediction of spatial data) will be taught. The lectures will be complemented by data analyses that the participants have to do themselves.
SkriptSlides, descriptions of the problems for the data analyses and solutions to them will be provided.
LiteraturP.J. Diggle & P.J. Ribeiro Jr. 2007. Model-based Geostatistics. Springer.
Voraussetzungen / BesonderesFamiliarity with linear regression analysis (e.g. equivalent to the first part of the course 401-0649-00L Applied Statistical Regression) and with the software R (e.g. 401-6215-00L Using R for Data Analysis and Graphics (Part I), 401-6217-00L Using R for Data Analysis and Graphics (Part II)) are required for attending the course.
351-0778-00LDiscovering Management
Entry level course in management for BSc, MSc and PHD students at all levels not belonging to D-MTEC.
This course can be complemented with Discovering Management (Excercises) 351-0778-01L.
W3 KP3GL. De Cuyper, S. Brusoni, B. Clarysse, V. Hoffmann, T. Netland, G. von Krogh
KurzbeschreibungDiscovering Management offers an introduction to the field of business management and entrepreneurship for engineers and natural scientists. The module provides an overview of the principles of management, teaches knowledge about management that is highly complementary to the students' technical knowledge, and provides a basis for advancing the knowledge of the various subjects offered at D-MTEC.
LernzielThe objective of this course is to introduce the students to the relevant topics of the management literature and give them a good introduction in entrepreneurship topics too. The course is a series of lectures on the topics of strategy, innovation, marketing, corporate social responsibility, and productions and operations management. These different lectures provide the theoretical and conceptual foundations of management. In addition, students are required to work in teams on a project. The purpose of this project is to analyse the innovative needs of a large multinational company and develop a business case for the company to grow.
InhaltDiscovering Management aims to broaden the students' understanding of the principles of business management, emphasizing the interdependence of various topics in the development and management of a firm. The lectures introduce students not only to topics relevant for managing large corporations, but also touch upon the different aspects of starting up your own venture. The lectures will be presented by the respective area specialists at D-MTEC.
The course broadens the view and understanding of technology by linking it with its commercial applications and with society. The lectures are designed to introduce students to topics related to strategy, corporate innovation, corporate social responsibility, and business model innovation. Practical examples from industry will stimulate the students to critically assess these issues.
Voraussetzungen / BesonderesDiscovering Management is designed to suit the needs and expectations of Bachelor students at all levels as well as Master and PhD students not belonging to D-MTEC. By providing an overview of Business Management, this course is an ideal enrichment of the standard curriculum at ETH Zurich.
No prior knowledge of business or economics is required to successfully complete this course.
351-0778-01LDiscovering Management (Exercises)
Complementary exercises for the module Discovering Managment.

Prerequisite: Participation and successful completion of the module Discovering Management (351-0778-00L) is mandatory.
W1 KP1UB. Clarysse
KurzbeschreibungThis course is offered complementary to the basis course 351-0778-00L, "Discovering Management". The course offers an additional exercise in the form of a project conducted in team.
LernzielThis course is offered to complement the course 351-0778-00L. The course offers an additional exercise to the more theoretical and conceptual content of Discovering Management.

While Discovering Management offers an introduction to various management topics, in this course, creative skills will be trained by the business game exercise. It is a participant-centered, team-based learning activity, which provides students with the opportunity to place themselves in the role of Chief Innovation Officer of a large multinational company.
InhaltAs the students learn more about the specific case and identify the challenge they are faced with, they will have to develop an innovative business case for this multinational corporation. Doing so, this exercise will provide an insight into the context of managerial problem-solving and corporate innovation, and enhance the students' appreciation for the complex tasks companies and managers deal with. The exercise presents a realistic model of a company and provides a valuable learning platform to integrate the increasingly important development of the skills and competences required to identify entrepreneurial opportunities, analyse the future business environment and successfully respond to it by taking systematic decisions, e.g. critical assessment of technological possibilities.
363-1039-00LIntroduction to NegotiationW3 KP2GM. Ambühl
KurzbeschreibungThe course introduces students to the concepts, theories, and strategies of negotiation and is enriched with an extensive exploration of real-life case-study examples.
LernzielThe objective of the course is to teach students to recognize, understand, and approach different negotiation situations, by relying on a range of primarily quantitative and some qualitative analytical tools.
InhaltWe all negotiate on a daily basis – on a personal level with friends, family, and service providers, on a professional level with employers and clients, among others. Additionally, negotiations are constantly unfolding across various issues at the political level, from solving armed conflicts to negotiating trade and market access deals.

The course aims to provide students with a toolbox of analytical methods that can be used to identify and disentangle negotiation situations, as well as serve as a reference point to guide action in practice. The applicability of these analytical methods is illustrated through examples of negotiation situations from international politics and business.

The theoretical part of the course covers diverse perspectives on negotiation: with a key focus on game theory, but also covering Harvard principles of negotiation, as well as the negotiation engineering approach developed by Prof. Ambühl at ETH Zurich. The course also dedicates some time to focus on conflict management as a specific category of negotiation situations and briefly introduces students to the social aspects of negotiation, based on the insights from psychology and behavioral economics.

The empirical part of the course draws on case-studies from the realm of international politics and business, including examples from Prof. Ambühl’s work as a career diplomat. Every year, the course also hosts two guest lecturers – representatives from politics or business leaders, who share practical experience on negotiations from their careers.
LiteraturThe list of relevant references will be distributed in the beginning of the course.
101-0530-00LReal Options for Infrastructure ManagementW3 KP2GC. Martani
KurzbeschreibungThe course will provide an introduction to the paradigm of flexibility/ real option for infrastructure management. It will also provide insights on the tools to model uncertainty and class applications on example cases.
LernzielUpon successful completion of this course students will be able:
- To recognize and model uncertainty affecting infrastructure;
- To identify possible interventions on infrastructure
- To develop dynamic model for simulating future scenarios, considering uncertainty
InhaltPart 1: Introduction to the concept of flexibility in engineering, including the problem of the flaw of average on traditional engineering design processes.
Part 2: Explanation of the real option methodology and of the main methods for uncertainty modelling, including binomial trees and Monte Carlo simulations.
Part 3: Application in class of the real option methodology on two example cases.
LiteraturA list of relevant publications for the course will be given out before the first class.
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. Each specific class will include some theory about industrialized construction from a strategic and/or technological perspective. There will be several external guest lectures as well. During the last hour of the course, students will work in project teams to propose a framework for a new industrialized construction venture. The teams will need to determine their new company’s product offering, business model, technical platform, technology solutions, and supply chain strategy.

It is intended to hold a group excursion to a factory for a 1/2 day visit. However in 2021, this will be determined pending the status of COVID-19 restrictions. planned course activities include a 1/2 day factory visit Students who are unable to attend the visit can make up participation through independent research and the writing of a short paper.
LiteraturA full list of required readings will be made available to the students via Moodle.
101-0518-10LProjektmanagement für grosse InfrastrukturprojekteW3 KP2GH. Ehrbar
Kurzbeschreibung-Lebenszyklusbetrachtung für Infrastrukturprojekte
-Projektphasen und Meilensteine bei Grossprojekten
-Steuerung von Grossprojekten
-Einführung in die Methoden des Stakeholdermanagements
-Beschaffungsmodelle / Grundsätze bei Ausschreibungen
-Projektrisikomanagement
LernzielVermittlung wichtiger Kenntnisse bezüglich
-Lebenszyklusbetrachtungen für Infrastrukturprojekte
-Projektanforderungen von Grossprojekten
-Projektphasen und Meilensteine bei Grossprojekten
-Aufgaben, Verantwortlichkeiten und Kompetenzen in einer Projektorganisation
-Einführung in die Methoden des Stakeholdermanagements
-Beschaffungsmodelle / Grundlagen bei Ausschreibungen
-Methoden des Projektrisikomanagements
-Kosten- und Terminsteuerung
-Qualitätsmanagement für Grossprojekte

Die Studierenden werden befähigt ein Infrastrukturprojekt aus Bauherrensicht in den wesentlichsten Belangen zu organisieren.
InhaltAllgemeine Grundlagen
-SIA 103, SIA 112, SIA 118, SIA 118/198
-Massgebende Gesetze und Verordnungen
-Grundlagen für Lebenszyklusbetrachtungen
-Mögliche Projektorganisationsformen
-Anforderungen / Aufgaben / Kompetenzen der Projektleitung

Projektphasen und Quality Gates
-Strategische Planung / Bedarfsanalyse
-Vorstudienphase / Methoden zur Variantenwahl
-Projektierung / Projektoptimierungsmechanismen
-Ausschreibung / Beschaffungsmodelle
-Realisierung / Sicherstellung der Vertragskonformität
-Inbetriebnahme / Abschluss
-Erhalt und Unterhalt

Ausgewählte Kapitel
-Umgang mit Interessenspartnern / Stakeholdermanagement
-Abwehr von Gefahren / Nutzen von Chancen; die Wichtigkeit des Projektrisikomanagements / Methoden und deren Einsatzgrenzen
-Nationale und internationale Beschaffungsmodelle
-Methoden der Kosten- und Terminsteuerung
-Methoden der Qualitätssicherung und des Qualitätsmanagements
-Vertragsmanagement / Änderungsmanagement
-Auftraggeberpflichten
-Anforderungen an die Projektportfoliosteuerung

Die Vorlesung basiert primär auf Beispielen aus dem Tunnelbau.
SkriptVorlesungsfolien
LiteraturIm Rahmen der Vorlesung wird auf die gängige Fachliteratur hingewiesen
Voraussetzungen / BesonderesBesuch der 101-0517-10 Baubetrieb im Untertagbau und der 101-0517-01 Project Management: Pre-Tender to Contract Execution wird empfohlen, Interesse an grossen Infrastrukturprojekten.
101-0521-10LMachine Learning for Predictive Maintenance Applications Belegung eingeschränkt - Details anzeigen
The number of participants in the course is limited to 25 students.

Students interested in attending the lecture are requested to upload their transcript and a short motivation responding the following two questions (max. 200 words):
-How does this course fit to the other courses you have attended so far?
-How does the course support you in achieving your goal?
The following link can be used to upload the documents.
Link
W8 KP4GO. Fink
KurzbeschreibungThe course aims at developing machine learning algorithms that are able to use condition monitoring data efficiently and detect occurring faults in complex industrial assets, isolate their root cause and ultimately predict the remaining useful lifetime.
LernzielStudents will
- be able to understand the main challenges faced by predictive maintenance systems
- learn to extract relevant features from condition monitoring data
-learn to select appropriate machine learning algorithms for fault detection, diagnostics and prognostics
-learn to define the learning problem in way that allows its solution based on existing constrains such as lack of fault samples.
- learn to design end-to-end machine learning algorithms for fault detection and diagnostics
-be able to evaluate the performance of the applied algorithms.

At the end of the course, the students will be able to design data-driven predictive maintenance applications for complex engineered systems from raw condition monitoring data.
InhaltEarly and reliable detection, isolation and prediction of faulty system conditions enables the operators to take recovery actions to prevent critical system failures and ensure a high level of availability and safety. This is particularly crucial for complex systems such as infrastructures, power plants and aircraft engines. Therefore, their system condition is increasingly tightly monitored by a large number of diverse condition monitoring sensors. With the increased availability of data on system condition on the one hand, and the increased complexity of explicit system physics-based models on the other hand, the application of data-driven approaches for predictive maintenance has been recently increasing.
This course provides insights and hands-on experience in selecting, designing, optimizing and evaluating machine learning algorithms to tackle the challenges faced by maintenance systems of complex engineered systems.

Specific topics include:

-Introduction to condition monitoring and predictive maintenance systems
-Feature extraction and selection methodology
-Machine learning algorithms for fault detection and fault isolation
-End-to-end learning architectures (including feature learning) for fault detection and fault isolation
-Unsupervised and semi-supervised learning algorithms for predictive maintenance
-Machine learning algorithms for prediction of the remaining useful life
-Performance evaluation
-Predictive maintenance systems at fleet level
-Domain adaptation for fault diagnostics
-Introduction to decision support systems for maintenance applications
SkriptSlides and other materials will be available online.
LiteraturRelevant scientific papers will be discussed in the course.
Voraussetzungen / BesonderesStrong analytical skills.
Programming skills in python are strongly 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.
101-0526-00LIntroduction to Visual Machine Perception for Architecture, Construction and Facility Management Information W3 KP2GI. Armeni
KurzbeschreibungThe course is an introduction to Visual Machine Perception technology, and specifically Computer Vision and Machine Learning, for Architecture, Construction, and Facility Management (ACFM). It will explore fundamentals in these Artificial Intelligence (AI) technologies in a tight reference to three applications in ACFM, namely architectural design, construction renovation, and facility management.
LernzielBy the end of the course students will develop computational thinking related to visual machine perception applications for the ACFM domain. Specifically, they will:

-Gain a fundamental understanding of how this technology works and the impact it can have in the ACFM industry by being exposed to example applications.
-Be able to identify limitations, pitfalls, and bottlenecks in these applications.
-Critically think on solutions for the above issues.
-Acquire hands-on experience in creatively thinking and designing an application given a base system.
-Use this course as a “stepping-stone” or entry-point to Machine Learning-intensive courses offered in D-BAUG and D-ARCH.
InhaltThe past few years a lot of discussion has been sparked on AI in the Architecture, Construction, and Facility Management (ACFM) industry. Despite advancements in this interdisciplinary field, we still have not answered fundamental questions about adopting and adapting AI technology for ACFM. In order to achieve this, we need to be equipped with rudimentary knowledge of how this technology works and what are essential points to consider when applying AI to this specific domain.

In addition, the availability of sensors that collect visual data in commodity hardware (e.g., mobile phone and tablet), is creating an even bigger pressure in identifying ways that new technology can be leveraged to increase efficiency and decrease risk in this trillion-dollar industry. However, cautious and well-thought steps need to be taken in the right direction, in order for such technologies to thrive in an industry that showcases inertia in technological adoption.

The course will unfold as two parallel storylines that intersect in multiple places:
1) The first storyline will introduce fundamentals in computer vision and machine learning technology, as building blocks that one should consider when developing related applications. These blocks will be discussed with respect to latest developments (e.g., deep neural networks), pointing out their impact in the final solution.

2) The second storyline consists of 3 ACFM processes, namely architectural design, construction renovation, and facility management. These processes will serve as application examples of the technological storyline.
In the points of connection students will see the importance of taking into account the application requirements when designing an AI system, as well as their impact on the building blocks. Guest speakers from both the AI and ACFM domains will complement the lectures.
Voraussetzungen / BesonderesThe course does not require any background in AI, Computer Science, coding, or the ACFM domain. It is designed for students of any background and knowledge on these topics. Despite being an introductory class, it will still engage advanced students in the aforementioned topics.
Vertiefung in Geotechnik
NummerTitelTypECTSUmfangDozierende
101-0318-01LUntertagbau II
Voraussetzung: Untertagbau I
W+3 KP2GM. Ramoni
KurzbeschreibungGeotechnische Aspekte maschineller Vortriebe im Lockergestein oder Fels. Tunnelbau im druckhaften Fels. Tunnelbau im quellfähigen Fels.
LernzielVerstehen der geotechnischen Aspekte maschineller Vortriebe im Lockergestein oder Fels.
Vertiefung besonderer Gebirgsdruckarten.
InhaltMaschineller Vortrieb im Lockergestein
Maschineller Vortrieb im Fels
Untertagbau in druckhaftem Gebirge
Untertagbau in quellfähigem Gebirge
SkriptAutographieblätter
LiteraturEmpfehlungen
101-0558-00LSprengtechnik Information Belegung eingeschränkt - Details anzeigen
Maximale Teilnehmerzahl: 24
W2 KP3GM. J. Kapp, D. Kohler, U. Streuli, M. A. von Ah
KurzbeschreibungVermittlung von vertieften Grundlagen und Kenntnissen der effizienten Sprengtechnik im Tunnel- und Tiefbau unter Berücksichtigung moderner Sprengstoff- und Zündsysteme sowie Arbeits- und Umweltsicherheit.
LernzielBeherrschung der theoretischen und praktischen Grundlagen zur Planung und Ausführungen von Sprengungen unter- sowie übertage.
Inhalt- Vertiefte theoretische und praktische Grundlagen der Sprengtechnik
- Einsatzgebiete und Wirkungsweise der Sprengstoffe
- Einsatzgebiete und Wirkungsweise pyrotechnischer, elektrischer und elektronischer Zündsysteme
- Technik des Hochleistungssprengens im Tage- und Untertagebau
- Arbeits- und Umweltsicherheit sowie gesetzliche Anforderungen
SkriptVorlesungsskript, Übungsunterlagen
LiteraturAktuelle Literaturliste ist im Vorlesungsskript enthalten
Voraussetzungen / BesonderesDie Teilnehmer müssen die Prüfungen folgender Lehrveranstaltungen bestanden haben:
•Geologie und Petrographie (1. Sem. BSc)
•Fels- und Untertagbau (6. Sem. BSc)


Der erfolgreiche Abschluss dieses Seminars berechtigt zur Teilnahme an der Prüfung zur Erlangung des Sprengausweises C für Kaderaufgaben.

WICHTIG:
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101-0368-00LConstitutive and Numerical Modelling in Geotechnics Belegung eingeschränkt - Details anzeigen
The priority is given to the students with Major in Geotechnics.

It uses computer room with a limited number of computers and software licenses.
W+6 KP4GA. Puzrin, D. Hauswirth
KurzbeschreibungThis course aims to achieve a basic understanding of conventional continuum mechanics approaches to constitutive and numerical modeling of soils in getechnical problems. We focus on applications of the constitutive models within the available numerical codes. Important issue of derivation of model parameters from the lab tests has also received considerable attention.
LernzielThis course targets geotechnical engineers, who face these days more often the necessity of the numerical analysis in their practice. Understanding of the limitations of the built-in constitutive models is crucial for critical assessment of the results of numerical calculations, and, hence, for the conservative and cost efficient design of geotechnical structures.
The purpose of this course has been to bridge the gap between the graduate courses in Geomechanics and those in Numerical Modeling. Traditionally, in many geotechnical programs, Geomechanics is not taught within the rigorous context of Continuum Mechanics. There is a good reason for that – the behavior of soils is very complex: it is more advantageous to explain it at a semi-empirical level, instead of scaring the students away with cumbersome mathematical models. However, when it comes to Numerical Modeling courses, these are often taught using commercially available finite elements (e.g. ABAQUS, PLAXIS) or finite differences (e.g. FLAC) software, which utilize constitutive relationships within the Continuous Mechanics framework. Quite often students have to learn the challenging subject of constitutive modeling from a program manual!
InhaltThis course is introductory - by no means does it claim any completeness and state of the art in such a dynamically developing field as constitutive and numerical modeling of soils. Our intention is to achieve a basic understanding of conventional continuum mechanics approaches to constitutive and numerical modeling, which can serve as a foundation for exploring more advanced theories. We focus on applications of the constitutive models within the available numerical codes. Important issue of derivation of model parameters from the lab tests has also received considerable attention.
SkriptHandout notes
Example worksheets
Literatur- Puzrin, A.M. (2012). Constitutive Modelling in Geomechanics: Introduction. Springer Verlag. Heidelberg, 312 p.
101-0378-00LSoil DynamicsW3 KP2GI. Anastasopoulos, A. Marin, T. M. Weber
KurzbeschreibungGrundlagen bodendynamischer Problemstellungen, Einführung in das geotechnische Erdbebeningenieurwesen, Lösen einfacher Probleme
LernzielVermittlung der Grundlagen, um bodendynamische Problemstellungen erkennen zu können, einfache Probleme selbständig zu lösen und bei komplexeren Aufgaben Spezialisten effizient beauftragen zu können.
InhaltGrundlagen der Dynamik und der Bodendynamik:
Unterschiede und Gemeinsamkeiten Bodenmechanik-Bodendynamik. Repetition der Grundlagen am Beispiel des Einmassenschwingers; Wellenausbreitung im elastischen Halbraum und im realen Boden. Einfluss der geologischen Schichtung, des Grundwassers etc. auf Wellenausbreitung.
Dynamische Bodenkennziffern (Deformation und Festigkeit):
Konstitutive Modellierung des Bodens, Bodenkennziffern für Sand, Kies, Ton, Fels. Bestimmung der Bodenkennziffern im Labor und Feld.
Erschütterungen:
Ausbreitungsprognose von Erschütterungen. Beurteilung von Erschütterungen bezüglich Gebäudeschäden und Belästigung des Menschen. Reduktion von Erschütterungen.
Geotechnische Erdbebenprobleme:
Grundbegriffe. Schäden infolge Erdbeben. Analyse der seismischen Gefährdung, Ermittlung von Bemessungsbeben. Einfluss der lokalen Geologie und Topographie auf die Bodenerschütterung. Grundlagen der Boden-Bauwerksinteraktion. Grundsätze der erdbebengerechten Dimensionierung von Fundationen, Stütz- und Erdbauwerken (Dämme). Bodenverflüssigung. Anwendung der SIA 261/267/269-8.
Probleme der Gebrauchstauglichkeit:
Bleibende Verformungen aufgrund wiederholter Belastung, Sackungen
SkriptBuch Studer, J.; Laue, J. & Koller, M.: Bodendynamik, Springer Verlag 2007

Ergänzt durch Aufsätze und Notizen die elektronisch zu Verfügung gestellt werden
LiteraturTowhata, I. (2008) Geotechnical Earthquake Engineering. Springer Verlag, Berlin

Kramer, S. L. (1996) Geotechnical earthquake engineering. Pearson Education India.
Voraussetzungen / BesonderesVoraussetzungen: Grundlagenwissen der Mechanik und der Geotechnik
101-0302-00LClays in Geotechnics: Problems and ApplicationsW3 KP2GM. Plötze
KurzbeschreibungThis course gives a comprehensive introduction in clay mineralogy, properties, characterising and testing methods as well as applied aspects and problems of clays and clay minerals in geotechnics.
LernzielUpon successful completion of this course the student is able to:
- Describe clay minerals and their fundamental properties
- Describe/propose methods for characterisation of clays and clay minerals
- Draw conclusion about specific properties of clays with a focus to their potential use, problematics and things to consider in geotechnics and engineering geology.
Inhalt- Introduction to clays and clay minerals (importance and application in geosciences, industry and everyday life)
- Origin of clays (formation of clays and clay minerals, geological origin)
- Clay mineral structure, classification and identification incl. methods for investigation (e.g., XRD)
- Properties of clay materials, characterisation and quantification incl. methods for investigation (e.g., cation exchange, rheology, plasticity, shearing, swelling, permeability, retardation and diffusion)
- Clay Minerals in geotechnics: Problems and applications (e.g. soil mechanics, barriers, slurry walls, tunnelling)
SkriptLecture slides and further documents will be provided.
101-0388-00LPlanning of Underground Space Information Belegung eingeschränkt - Details anzeigen W3 KP2GA. Cornaro
KurzbeschreibungUrban underground space is the undiscovered or underutilised asset that can help shape the cities of the future. Planning the urban subsurface calls for multi disciplinary professionals to work together in shaping a new urban tissue beneath our cities. The need to plan the third dimension in the subsurface is critical in making our cities future proof, resilient and sustainable.
LernzielGain an appreciation and knowledge of what lies beneath our feet and what an asset the underground is for our cities. The need to plan this asset is more complex than on the surface, as it is invisible and in parts impenentrable. We look at methods and tools to gain an understanding of the subsurface and what issues and challenges are involved in planning it.
Inhaltweekly lectures on various topics involving cities and the subsurface.
-Major aspects of urban development
-The Subsurface as the final frontier
-Historical approaches to underground space development
-Urban sustainability aspects
-Modelling and mapping the underground
-Policy building and urban planning
-Design and architecture -creating a new urban tissue
-Future cities -resilient cities
-Governance and legal challenges
-Investment aspects and value capture
-Future proofing our infrastructure
-Best practice of underground space use
-Excursion to underground facility
Skriptpresentation slides
book: Underground Spaces Unveiled: Planning and Creating the Cities of the Future, ICE Publishing, 2018, Admiraal, H., Cornaro, A., ISBN 978-0-7277-6145-3
Literaturvarious articles and books will be recommended during the course

please see also weblinks "learning materials"
Vertiefung in Konstruktion
NummerTitelTypECTSUmfangDozierende
101-0138-00LBridge Design Information W6 KP4GW. Kaufmann
KurzbeschreibungThis course presents the fundamentals of bridge design. It covers the entire range from conceptual design to construction, encompassing all relevant building materials. The focus lies on the structural behaviour of today’s most important bridge typologies and their suitability for certain boundary conditions, the dimensioning of the main structural elements as well as construction methods.
LernzielAfter successful completion of this course, the student should be able to:
- Define the main bridge design parameters and identify constraints and boundary conditions
- Explain the structural behaviour and peculiarities of today’s most important bridge typologies
- Explain the main elements of bridges and their structural behaviour
- Define the relevant actions on bridges
- Dimension a standard bridge (pre-dimensioning by hand; dimensioning using computer-aided tools)
- Explain the most relevant bridge construction and erection methods
- Select an appropriate typology and conceive a convincing bridge for a site with its specific boundary conditions
- Name the most eminent bridge designers and their relevant works
InhaltThe course is built up as follows:
1. Introduction
2. Conceptual design
3. Superstructure / Girder bridges
4. Support and articulation
5. Substructure
6. Arch bridges
7. Frame bridges
8. Special girder bridges
9. Cable-supported bridges

The course is complemented by
- Guest lectures by leading bridge designers active in industry
- Inverted classroom exercises on conceptual bridge design
- Slides on eminent bridge designers and their works
- Exercises (homework)
SkriptLecture notes (slides with explanations)
LiteraturMenn C.: Prestressed Concrete Bridges. Basel: Birkhäuser Basel, 1990
(available online at ETH Library)

Hirt, M., Lebet, J.P.: Steel Bridges. EPFL Press, New York, 2013
(available online at ETH Library)
Voraussetzungen / BesonderesThe course is part of the MSc specialisation in structures and requires solid knowledge in structural analysis and design. Students are assumed to be proficient in the material taught in the following courses offered in the BSc in Civil Engineering at ETH Zurich (or have acquired equivalent knowledge elsewhere):
- Theory of structures I+II
- Steel structures I+II (incl. steel-concrete composite structures)
- Structural Concrete I+II (incl. prestressed concrete)

The flipped classroom exercises are preparing the students for Part 1 of the exam (conceptual design). Active participation is highly recommended to all students who have not conceived a bridge.
101-0148-01LHochbauW3 KP2GA. Frangi, M. Klippel, H. Seelhofer
KurzbeschreibungWechselwirkungen zwischen Bauwerk und Tragwerk, Erkennen und Qualifizieren der relevanten Zusammenhänge. Konsequenzen für den Entwurf und die Konzeption des Tragwerks. Auswahl an Tragwerksformen im Spiegel der möglichen Einflussgrössen.
LernzielEinführung in eine ganzheitliche Betrachtung von Hochbauten aus der Sicht des Bauingenieurs.
InhaltEinführung
Wechselwirkung zwischen Bauwerk und Tragwerk
Tragstrukturen und Tragsysteme des Hochbaus
Stabilisierung von Tragwerken und Bauteilen
SkriptFolienkopien
Literatur"Hochbau für Ingenieure", Bachmann Hugo, vdf Verlag Zürich und B.G. Teubner Verlag Stuttgart, 1993
101-0158-01LMethod of Finite Elements IW4 KP2GE. Chatzi, P. Steffen
KurzbeschreibungThe course introduces students to the fundamental concepts of the Method of Finite Elements, including element formulations, numerical solution procedures and modelling details. We aim to equip students with the ability to code algorithms (based on Python) for the solution of practical problems of structural analysis.
DISCLAIMER: the course is not an introduction to commercial software.
LernzielThe Direct Stiffness Method is revisited and the basic principles of Matrix Structural Analysis are overviewed.
The basic theoretical concepts of the Method of Finite Elements are imparted and perspectives for problem solving procedures are provided.
Linear finite element models for truss and continuum elements are introduced and their application for structural elements is demonstrated.
The Method of Finite Elements is implemented on practical problems through accompanying demonstrations and assignments.
Inhalt1) Introductory Concepts
Matrices and linear algebra - short review.

2) The Direct Stiffness Method
Demos and exercises in MATLAB or Python

3) Formulation of the Method of Finite Elements.
- The Principle of Virtual Work
- Isoparametric formulations
- 1D Elements (truss, beam)
- 2D Elements (plane stress/strain)
Demos and exercises in MATLAB or Python

4) Practical application of the Method of Finite Elements.
- Practical Considerations
- Results Interpretation
- Exercises, where structural case studies are modelled and analyzed
SkriptThe lecture notes are in the form of slides, available online from the course webpage:
Link
LiteraturStructural Analysis with the Finite Element Method: Linear Statics, Vol. 1 & Vol. 2 by Eugenio Onate (available online via the ETH Library)

Supplemental Reading
Bathe, K.J., Finite Element Procedures, Prentice Hall, 1996.
Voraussetzungen / BesonderesPrior basic knowledge of Python is necessary.
101-0168-00LHolzbau IIW3 KP2GA. Frangi, M. Klippel, R. Steiger
KurzbeschreibungVerständnis der theoretischen Grundlagen und der konstruktiven Belange des Ingenieur-Holzbaus. Erkennen der holzspezifischen Besonderheiten, insbesondere der Anisotropie, der Schwind- und Quellverformungen und der Langzeiteinflüsse sowie deren konstruktive und bemessungstechnische Bewältigung. Entwurf, Konstruktion und Bemessung von Dach-, Hallen- und Brückenbauten.
LernzielVerständnis und Anwendung der theoretischen Grundlagen und der konstruktiven Belange des Ingenieur-Holzbaus. Erkennen der holzspezifischen Besonderheiten, insbesondere der Anisotropie, der Schwind- und Quellverformungen und der Langzeiteinflüsse, sowie deren konstruktive und bemessungstechnische Bewältigung. Bemessung von Dach-, Hallen- und Brückenbauten.
InhaltAnwendungsgebiete des Holzbaus (materialspezifische Merkmale und deren Auswirkung auf die Konstruktionsweise); Holz als Baustoff (Aufbau des Holzes, Sortierung, physikalische und mechanische Eigenschaften von Holz und Holzwerkstoffen); Dauerhaftigkeit und konstruktiver Holzschutz; Bemessungsgrundlagen und Verbindungen (Verleimung, Nägel, Dübel, Bolzen, Schrauben); Bauteile und wichtigste ebene und räumliche Tragwerke (Berechnung und Bemessung unter Beachtung nachgiebiger Verbindungen); besondere konstruktive Belange des Dach-, Hallen- und Brückenbaus.
SkriptAutographie Holzbau
Folienkopien
LiteraturHolzbautabellen HBT 1, Lignum (2012)
Norm SIA 265 (2012)
Norm SIA 265/1 (2009)
Voraussetzungen / BesonderesVoraussetzungen: Kenntnisse in Baustatik
101-0188-00LSeismic Design of Structures IW3 KP2GB. Stojadinovic
KurzbeschreibungThe following topics are covered: 1) origin and quantification of earthquake hazard; 2) seismic response of elastic and inelastic structures; 3) response history and response spectrum seismic evaluation methods; 4) basis for seismic design codes; and 5) fundamentals of seismic design of structures. These topics are discussed in framework of performance-based seismic design.
LernzielAfter successfully completing this course the students will be able to:
1. Explain the nature of earthquake hazard and risk.
2. Explain the seismic response of simple linear and nonlinear single- and multi-degree-of-freedom structural systems and quantify it using response time history and response spectrum approaches.
3. Apply design code provisions to size the structural elements in a lateral force resisting system of a typical frame and wall buildings.
InhaltThis course initiates the series of two courses on seismic design of structures at ETH. Building on the material covered in the course on Structural Dynamics and Vibration Problems, the following fundamental topics are covered in this course: 1) origin and quantification of earthquake hazard; 2) seismic response of elastic and inelastic single- and multiple-degree-of-freedom structures; 3) response history and response spectrum seismic response evaluation methods; 4) basis for seismic design codes; and 5) fundamentals of seismic design of structures. These topics are discussed in framework of performance-based seismic design.
SkriptElectronic copies of the learning material will be uploaded to ILIAS and available through myStudies. The learning material includes the lecture presentations, additional reading, and exercise problems and solutions.
Literatur1. Dynamics of Structures: Theory and Applications to Earthquake Engineering, 5th edition, Anil Chopra, Prentice Hall, 2017
2. Earthquake Engineering: From Engineering Seismology to Performance-Based Engineering, Yousef Borzorgnia and Vitelmo Bertero, Eds., CRC Press, 2004
3. Erdbebensicherung von Bauwerken, 2nd edition, Hugo Bachmann, Birkhäuser, Basel, 2002
Voraussetzungen / BesonderesETH Structural Dynamics and Vibration Problems course, or equivalent. Students are expected to be able to compute the response of elastic single- and multiple-degree-of-freedom structural systems in free vibration, as well as in forced vibration under harmonic and pulse excitation, to use the response spectrum method, and to understand and be able to apply the modal response analysis method for multiple-degree-of-freedom structures. Knowledge of structural analysis and design of reinforced concrete or steel structures under static loads is expected. Familiarity with general-purpose numerical analysis software, such as Matlab, and structural analysis software, such as Cubus, Sofistik or SAP2000, is desirable.
101-0178-01LUncertainty Quantification in Engineering Information W3 KP2GS. Marelli, B. Sudret
KurzbeschreibungUncertainty quantification aims at studying the impact of aleatory and epistemic uncertainty onto computational models used in science and engineering. The course introduces the basic concepts of uncertainty quantification: probabilistic modelling of data (copula theory), uncertainty propagation techniques (Monte Carlo simulation, polynomial chaos expansions), and sensitivity analysis.
LernzielAfter this course students will be able to properly pose an uncertainty quantification problem, select the appropriate computational methods and interpret the results in meaningful statements for field scientists, engineers and decision makers. The course is suitable for any master/Ph.D. student in engineering or natural sciences, physics, mathematics, computer science with a basic knowledge in probability theory.
InhaltThe course introduces uncertainty quantification through a set of practical case studies that come from civil, mechanical, nuclear and electrical engineering, from which a general framework is introduced. The course in then divided into three blocks: probabilistic modelling (introduction to copula theory), uncertainty propagation (Monte Carlo simulation and polynomial chaos expansions) and sensitivity analysis (correlation measures, Sobol' indices). Each block contains lectures and tutorials using Matlab and the in-house software UQLab (Link).
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.
101-0008-00LStructural Identification and Health MonitoringW3 KP2GE. Chatzi, V. Ntertimanis
KurzbeschreibungThis course will present methods for structural identification and health monitoring. We show how to exploit measurements of structural response (e.g. strains, deflections, accelerations) for evaluating structural condition, with the purpose of maintaining a safe and resilient infrastructure.
LernzielThis course aims at providing a graduate level introduction into the identification and condition assessment of structural systems.

Upon completion of the course, the students will be able to:
1. Test Structural Systems for assessing their condition, as this is expressed through measurements of dynamic response.
2. Analyse vibration signals for identifying characteristic structural properties, such as frequencies, mode shapes and damping, based on noisy measurements of the structural response.
3. Formulate structural equations in the time and frequency domain
4. Identify possible damage into the structure by picking up statistical changes in the structural behavior
InhaltThe course will include theory and algorithms for system identification, programming assignments, as well as laboratory and field testing, thereby offering a well-rounded overview of the ways in which we may extract response data from structures.

The topics to be covered are :

1. Elements of Vibration Theory
2. Transform Domain Methods
3. Digital Signals (P
4. Nonparametric Identification for processing test and measurement data
(transient, correlation, spectral analysis)
5. Parametric Identification (time series analysis, transfer functions)

A series of computer/lab exercises and in-class demonstrations will take place, providing a "hands-on" feel for the course topics.

Grading:
- This course offers optional homework as learning tasks, which can improve the grade of the end-​of-semester examination up to 0.25 grade points (bonus).
- The learning tasks will be taken into account if all 3 homeworks are submitted. The maximum grade of 6 can also be achieved by sitting the final examination only.
SkriptThe course script is composed by the lecture slides, which are available online and will be continuously updated throughout the duration of the course: Link
LiteraturSuggested Reading:
T. Söderström and P. Stoica: System Identification, Prentice Hall International: Link
Voraussetzungen / BesonderesFamiliarity with MATLAB is advised.
052-0610-00LEnergie- und Klimasysteme II Information W2 KP2GA. Schlüter
KurzbeschreibungIm zweiten Semester des Jahreskurses werden die wesentlichen physikalischen Prinzipien, Konzepte, Komponenten und Systeme für die effiziente und erneuerbare Versorgung von Gebäude mit Strom und Licht sowie deren Automation behandelt. Abhängigkeiten und Interaktionen zwischen technischen Systemen und dem architektonischen und städtebaulichen Entwerfen werden aufgezeigt.
LernzielZiel der Vorlesung ist die Kenntnis der physikalischen Grundlagen, der relevanten Konzepte und technischen Systeme für die effiziente und nachhaltige Versorgung von Gebäuden. Mittels überschlägiger Berechnungsmethoden wird die Ermittlung relevanter Grössen und die Identifikation wichtiger Parameter geübt. Auf diese Weise können passende Ansätze für den eigenen Entwurf ausgewählt, qualitativ und quantitativ bewertet und integriert werden.
InhaltEffiziente Gebäude und integrierte Konzepte
Erneuerbare Energieerzeugung am Gebäude
Tages- und Kunstlicht
Intelligente Gebäude: Raumautomation und Nutzer
Urbane Energiesysteme
SkriptDie Folien aus der Vorlesung dienen als Skript und sind als download erhältlich.
LiteraturEine Liste weiterführender Literatur ist am Lehrstuhl erhältlich.
101-0194-00LSeismic Evaluation and Retrofitting of Existing BuildingsW2 KP1GA. Tsiavos
KurzbeschreibungThe aim of this course is to present the state of the art of the current procedures for seismic evaluation and retrofitting of existing buildings in Switzerland (Norm SIA 269/8) and worldwide. Emphasis will be given on the practical application of these procedures in real buildings located in Switzerland, through case studies presented by experts in the field.
LernzielA large percentage of the existing building inventory worldwide has been constructed before the introduction of the current seismic code provisions. The seismic deficiencies observed in many of these structures are a direct outcome of their non-compliance with these provisions and the established engineering practices in seismic design. Moreover, the unavoidable material deterioration in these structures could further inhibit their seismic performance. Therefore, the knowledge of the current procedures and common practices for the seismic evaluation and retrofitting of buildings is of paramount importance. This course presents an overview of these procedures through a wide spectrum of applied case studies in Switzerland and worldwide. The students will work on a project related to the presented case studies, thus obtaining deep understanding on the application of these procedures and a feeling on how to engineer practical retrofitting strategies towards the seismic upgrading of existing buildings.
Inhalt1. Introduction to seismic hazard and seismic performance objectives.
2. Common structural deficiencies and observed damage patterns in buildings due to strong earthquake ground motion excitation.
3. Seismic evaluation of buildings in Switzerland using Norm SIA 269/8: Presentation of the code in steps and discussion of the critical issues.
4. Seismic retrofitting of buildings in Switzerland using Norm SIA 269/8: Presentation of the code in steps and discussion of the critical issues.
5. Application of seismic evaluation using SIA 269/8 on an existing building in Switzerland.
6. Application of seismic retrofitting using SIA 269/8 on an existing building in Switzerland.
7. Seismic evaluation methodologies worldwide: State of the art. Presentation of illustrative examples.
8. Introduction to Yield Point Spectra and the Constant Yield Displacement Evaluation (CYDE) method.
9. Seismic retrofitting strategies worldwide: State of the art. Presentation of illustrative examples.
Voraussetzungen / BesonderesThe attendance of the course Existing Structures (Erhaltung von Tragwerken-101-0129-00L) and the participation in the course Seismic Design of Structures I (101-0188-00L) in parallel with this course are highly recommended.
101-0138-11LBridge Design: Project Competition Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 20.

All students get on waiting list. Final registration based on application letter (information given in first lecture). Priority will be given to students attending “Bridge Design (101-0138-00 G)” and in the primary target group (Major in Structural Engineering or Projektbasierte Lehrveranstaltungen).
W4 KP2SW. Kaufmann
KurzbeschreibungThis module offers the possibility to apply the fundamentals of the course Bridge Design in a conceptual design project. The scenario is set as a design competition: The students (group of two) will get a basic documentation (service criteria agreement, plans, digital terrain model, geotechnical report, photo documentation, etc.) and will develop a conceptual design suitable for the given site.
LernzielAt the end of the course, students will have developed a convincing bridge design that satisfies following criteria:
_ Consideration of governing boundary conditions and constraints.
_ Conception of an efficient structural system with an adequate aesthetic expression considering the environment.
_ Definition of the relevant actions and decisive load cases.
_ Proof of feasibility by dimensioning the main structural elements.
_ Schematic overview of construction processes.
_ Appropriate presentation and visualisation of the proposed bridge design.
InhaltThe module is built up as follows:
0. Presentation of problem statement / project. (1st week of semester)
1. Team registration (teams of two students).
2. Issue of documents.
3. Introduction to design tools & working methods.
4. Working on project (milestones):
... a. Define requirements and boundary conditions.
... b. Study of references and possible concepts
... c. Choice of best variant
... d. Structural modelling & calculations
... e. Plans & visualisation
5. Submission
Voraussetzungen / BesonderesIt is highly recommended to attend the course “Bridge Design (101-0138-00 G)” simultaneously.
101-0194-10LSeismic Design and Evaluation of BridgesW2 KP2GA. Tsiavos
KurzbeschreibungThe aim of this course is to provide the fundamental knowledge on the seismic design and evaluation of bridges in Switzerland and worldwide. The course focuses on the practical application of this knowledge through the seismic design and evaluation of real bridges located in Switzerland.
LernzielThe existing bridge inventory in Switzerland consists of about 3340 bridges, facilitating the continuous function of the national highway transportation network. Furthermore, a large number of new bridges are under construction in Switzerland. These bridges serve as intermediate links, connecting different communities and enabling the accessibility of different infrastructure components. Within this frame, the seismic protection of new and existing bridges is critical for the maintenance of the functionality of our communities and their ability to recover after a strong earthquake event. Along these lines, this course aims to provide knowledge of the latest code provisions and analysis methods for the seismic design and evaluation of bridges in Switzerland and worldwide. This knowledge will be provided through a combination of theoretical background with practical case study examples. The students will work on a project related to the presented case studies, thus obtaining hands-on experience in the seismic evaluation and seismic retrofitting of existing bridges located in Switzerland.
InhaltLecture unit 1:
1. Introduction: bridges in low and moderate seismic hazard regions
2. Common seismic deficiencies of typical bridges

Lecture unit 2:
3. Dynamic modelling of bridge systems
4. Dynamic modelling of bridge components (e.g. columns, bearings,
joints, abutments, reinforcement splices, foundations, piles)

Lecture unit 3:
5. Nonlinear static analysis
6. Nonlinear dynamic analysis

Lecture unit 4:
7. Swiss code: seismic design
8. Swiss code: seismic evaluation

Lecture unit 5:
9. Swiss example: seismic design issues
10. Swiss example: seismic evaluation

Lecture unit 6
11. Seismic evaluation and retrofitting of bridges: EU perspective (low and moderate seismic hazard regions)
12. Seismic evaluation and retrofitting of bridges: US perspective (low and moderate seismic hazard regions)

Lecture unit 7:
13. Project presentations
14. Course summary
Voraussetzungen / BesonderesBridge Design (101-0138-00L) and Seismic Design of Structures I (101-0188-00L) or equivalent, taken previously or being attended in parallel with this course.
Vertiefung in Verkehrssysteme
NummerTitelTypECTSUmfangDozierende
101-0428-00LEntwurf und Bau von VerkehrsanlagenW6 KP4GH.‑R. Müller
KurzbeschreibungKenntnis und Anwendung der Grundlagen und Zusammenhänge des Strassenentwurfs.
Lokalisierung und Quantifizierung der Risiken im Erdbau und Oberbau;
Dimensionierung und Konstruktion von Trassee (Erdbau) und Oberbau inkl. Entwässerungssystem, Tragsicherheits- und Gebrauchstauglichkeitsnachweise
LernzielKenntnis und Anwendung der Grundlagen und Zusammenhänge des Strassenentwurfs
Quantifizierung von Baurisiken und Nachweise der Tragsicherheit und Gebrauchstauglichkeit;
Dimensionierung Trassee, Steilböschungen, Oberbau und Entwässerungsanlagen
InhaltEntwurfsgrundlagen und -modelle, Linienführung, Querschnitt, Knoten, Strassenausrüstung und Projektbearbeitung.

Lokalisierung und Quantifizierung der Risiken im Erdbau, Baugrunduntersuchungen, Festlegung von Nachweiskonzepten der Tragsicherheit und Gebrauchstauglichkeit;
Dimensionierung und Konstruktion von Trassee und Böschungen, Tragsicherheits- und Gebrauchstauglichkeitsnachweise;
Dimensionierung und Konstruktion von Oberbau, Gräben, Rohrleitungen der Entwässerungsanlagen, Spriessung;
SkriptHR. Müller: Entwurf von Strassen, IVT-ETHZ, Januar 2020

HR. Müller: Bau und Erhaltung von Verkehrsanlagen, IVT-ETHZ, Januar 2020
101-0459-00LLogistik und GüterverkehrW6 KP4GF. Corman, K. Brossok, D. Bruckmann, M. Ruesch, T. Schmid, A. Trivella
KurzbeschreibungGrundsätze der Logistik und des Güterverkehrs; Angebote, Infrastruktur und Produktionsprozesse der verschiedenen Verkehrssysteme; regulatorische Rahmenbedingungen
LernzielErkennen und Verstehen der Zusammenhänge zwischen Logistikanforderungen, Markt, Angeboten, Betriebsprozessen, Infrastrukturen, Transportmitteln und Regulierung im Güterverkehr aller Transportsysteme (Strasse, Bahn, Kombiverkehr, Wasser und Luft).
InhaltLogistikgrundsätze und -konzepte, Akteure der Logistik und des Güterverkehrs, Nachfrage (1), innerbetriebliche Logistik, Lagerung, Transportsicherung, Gefahrgut (2), Grundsätze der Angebotskonzepte, Produktionssysteme und Infrastruktur für Strasse, Schiene, Kombinierten Verkehr, Hochsee- und Binnenschifffahrt und Luftverkehr, urbane Logistik (3), Güterverkehrspolitik, Regulierung, Raumplanung, Standortfragen und Netzgestaltung mit Optimierungsverfahren (4)
SkriptDie Vorlesungsfolien in deutscher oder englischer Sprache werden abgegeben.
101-0488-01LFuss- und VeloverkehrW6 KP4GU. Walter, E. Bosina, M. Meeder
KurzbeschreibungGrundlagen der Fussgängerverkehrsplanung sowie der Planung von Anlagen des leichten Zweiradverkehrs,
Transporttechnische Eigenschaften des Menschen,
Entwurf von Fussgänger- und Radverkehrsnetzen,
Anlagen des Fuss- und Radverkehrs,
Mikrosimulation des Fussgängerverkehrs,
Beurteilung von Leistungsfähigkeit und Verkehrsqualität
LernzielErwerb von Grundkenntnissen im Bereich der Fussgänger- und Radverkehrsplanung,
Kenntnis und Verständnis der transporttechnischen Eigenschaften des Menschen und der daraus folgenden Konsequenzen für den Entwurf und die Planung entsprechender Verkehrsanlagen,
Fähigkeit zur Beurteilung der Verkehrsqualität und Leistungsfähigkeit,
Grundkenntnisse über die Mikrosimulation von Fussgängerströmen als zeitgemässes Planungs- und Analyseinstrument
Inhalt1) Einführung Fuss- und Veloverkehr
2) Eigenschaften: Rad / Radfahrer / Zielgruppen
3) Aufbau von Veloverkehrsnetzen
4) Übung: Planung eines Radverkehrsnetzes.
5) Anlagenentwurf Veloverkehr
6) Veloparkierung
7) Fussgängereigenschaften, Geschwindigkeit
8) Fussverkehr: Leistungsfähigkeit und Qualität
9) Fussverkehr Anlagengestaltung
10) Fussgängeranlagen des öffentlichen Verkehrs
11) Fussverkehr: Hindernisfreie Verkehrsräume
12) Zählungen Fuss- und Veloverkehr
13) Simulation des Fussverkehrs
14) Technologie der Mikrosimulation des Fussverkehrs
15) Übung: Dimensionierung von Fussgängeranlagen
16) Shared Space
17) Förderung des Fuss- und Veloverkehrs
18) Exkursionen zu Themen des Fuss- und Veloverkehrs
SkriptAusgewählte Materialien werden über die Moodle-Plattform in elektronischer Form zur Verfügung gestellt.
LiteraturAuf weiterführende Literatur wird jeweils in den Vorlesungen hingewiesen.
Voraussetzungen / BesonderesDie Vorlesung wird unterstützt durch 2 Übungen sowie 2 Exkursionen zu den Themen Fuss- und Radverkehr.
101-0579-00LInfrastructure Management 2: Evaluation ToolsW6 KP2GB. T. Adey, S. Kerwin, S. Moghtadernejad
KurzbeschreibungThis course provides tools to predict the service being provided by infrastructure in situations where the infrastructure is expected to

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

2) to change suddenly with relatively large uncertainty, e.g. due to being washed away from an extreme flood.
LernzielThe course learning objective is to equip students with tools to be used to the service being provided from infrastructure.
The course increases a student's ability to analyse complex problems and propose solutions and to use state-of-the-art methods of analysis to assess complex problems
InhaltReliability
Availability and maintainability
Regression analysis
Event trees
Fault trees
Markov chains
Neural networks
Bayesian networks
SkriptAll necessary materials (e.g. transparencies and hand-outs) will be distributed before class.
LiteraturAppropriate reading material will be assigned when necessary.
Voraussetzungen / BesonderesAlthough not an official prerequisite, it is perferred that students have taken the IM1:Process course first. Understanding of the infrastructure management process enables a better understanding of where and how the tools introduced in this course can be used in the management of infrastructure.
103-0458-00LHaushälterische Bodennutzung
Nur für Master-Studierende, ansonsten ist eine Spezialbewilligung des Dozierenden notwendig.
W3 KP2GR. Nebel
KurzbeschreibungIn der Lehrveranstaltung werden die aktuellen Trends der Bodennutzung dargestellt, Argumente für einen haushälterischen Umgang mit dem Boden vermittelt und Instrumente und Verfahren, differenziert nach den verschiedenen Planungsebenen, zur Umsetzung dieses Zieles aufgezeigt. Eine besondere Bedeutung kommt der Einführung eines wirkungsvollen Siedlungsflächenmanagements zu.
LernzielDie Studierenden verstehen die Hintergründe, Grundlagen, Ziele und Ansätze einer nach innen gerichteten Siedlungsentwicklung und sind in der Lage, die zentralen Argumente für einen haushälterischen Umgang mit dem Boden verständlich und nachvollziehbar zusammenzufassen. Ferner können sie, differenziert und massgeschneidert auf die Ausgangslage, Möglichkeiten für die Umsetzung einer Siedlungsentwicklung nach innen aufzeigen.
Inhalt- Siedlungsentwicklung und Siedlungsflächeninanspruchnahme: Fakten, Trends, Ursachen und Folgen
- Siedlungsentwicklung nach innen: Grundlagen und strategische Zielsetzungen
- Übersichten über Siedlungsflächenreserven
- Formelle und informelle Instrumente und Verfahren
- Siedlungsflächenmanagement: Umsetzung auf kommunaler, kantonaler und nationaler Ebene
SkriptDie Unterlagen zur Vorlesung werden auf Moodle bereitgestellt.
Voraussetzungen / BesonderesNur für Master-Studierende, ansonsten ist eine Spezialbewilligung des Dozierenden notwendig.
101-0408-00LPraktikum Siedlung und Verkehr Belegung eingeschränkt - Details anzeigen
Maximale Teilnehmerzahl: 25
W3 KP2PB. Vitins
KurzbeschreibungDieses Praktikum wendet die Methoden der Verkehrsplanung basierend auf Raumstrukturen beispielhaft an. Die Studierenden erarbeiten anhand realen Daten einer Fallstudie die vier Schritte der Verkehrsnachfrageberechnung und erstellen Verbesserungsszenarien für Verkehrsinfrastruktur und Raumplanung.
Lernziel- Vorgehen zur Analyse und Lösung verkehrsplanerischer Fragestellungen
- Wechselwirkung zwischen Raum- und Verkehrsplanung
- Erstellung von Modellen zur Lösung planerischer Aufgaben
- Plausibilisierung und Kalibrierung der Modelle
- Ausarbeitung von Lösungen, Vorschlag von Massnahmen
- Beurteilung der Massnahmen und deren Auswirkungen
151-0228-00LManagement of Air Transport (Aviation II)W4 KP3GP. Wild
KurzbeschreibungProviding an overview in management, planning, processes and operations in air transport, the lecture shall enable students to operate and lead a unit within that industry. In addition, the modules provide a good understanding for other transport modes and are a sort of "Mini MBA" (topics see below). Ideally, students complete first "Basics in Air Transport" yet there is no requirement for it.
LernzielAfter completion of the course, they shall be familiar with tasks, processes and interactions and have the ability to understand implications of developments in the airlines industry and its environment. This shall enable them to work within the air transport industry.
InhaltWeekly: 1h independent preparation; 2h lectures and 1 h training with an expert in the respective field
Overall concept: This lecture build on the content of the lecture "Basics in Air Transport" (101-0499-00L) and provides deeper insights into the airline industry.
Content: Strategy, Alliances & Joint Ventures, Negotiations with Stakeholder, Environmental Protection, Safety & Risk Management, Airline Economics, Network Management, Revenue Management & Pricing, Sales & Distribution, Airline Marketing, Scheduling & Slot Management, Fleet Management & Leasing, Continuing Airworthiness Management, Supply Chain Management, Operational Steering
SkriptNo offical lecture notes. Lecturers' slides will be made available
LiteraturLiterature will be provided by the lecturers respective there will be additional Information upon registration
Voraussetzungen / BesonderesThe elcture is held online (ZOOM) till end of April. Then we will evalute the situation.
103-0427-00LRegionalökonomieW4 KP2GB. Buser, C. Abegg
KurzbeschreibungDie Vorlesung Regionalökonomie fokussiert auf die theoretische Betrachtung der Faktorallokation im Raum und der Wachstumsdeterminanten. Die Vorlesung nimmt eine übergeordnete Sichtweise ein (top down) und betrachtet regionale Entwicklung aus einer gesamtwirtschaftlichen Perspektive.
Diskussion von wachstums- und regionalpolitischen Implikationen.
LernzielDie Studierenden sollen theoretische Grundlagen der räumlichen Ökonomie und regionalen Wachstumstheorien kennen; sie sollen die Kompetenz erwerben, raumwissenschaftliche und regionalökonomische Konzepte und Theorien auf konkrete Fragestellungen aus ihrem Studienbereich anwenden zu können.
InhaltUrsprung der "Raumwirtschaftslehre"
Regionalwirtschaftliche Kennzahlen und Wachstumsanalyse
Regionale Wettbewerbsfähigkeit und Wachstumstheorien
Regionale Innovationstheorie (Innovationsprozesse, Clustertheorie und Innovationspolitik)
Theorie und politische Implikationen an Beispielen (Neue Regionalpolitik NRP, regionale Innovationssysteme RIS)
Gastreferat und Einbezug aktueller Ereignisse und Medien
SkriptDie Vorlesungsmaterialien werden auf folgenden Websites jeweils im Voraus aufgeschaltet:

Link

Link

ETH-Angehörige können die Aufzeichnungen zur Vorlesung anschauen unter: Link
LiteraturDie Unterlagen werden abgegeben, es werden Hinweise auf die nachfolgende, freiwillige Fachliteratur gegeben:

Bathelt, H., Glückler J. (2012): Wirtschaftsgeographie.
Ökonomische Beziehungen in räumlicher Perspektive. 3. Auflage. ISBN: 978-3-8252-8492-3

Eisenhut, P. (2014): Aktuelle Volkswirtschaftslehre 2018/2019.
Rüegger Verlag, Zürich. ISBN: 978-3-7253-1066-1

Eckey, H.-F. (2008): Regionalökonomie. GWV Fachverlag GmbH, Wiesbaden. ISBN: 978-3-8349-0999-2
Voraussetzungen / BesonderesDie Vorlesung wird online auf Zoom durchgeführt. Die Zugangsdaten können angefordert werden bei Herr Sergio Wicki (Link).
227-0524-00LEisenbahn-Systemtechnik IIW6 KP4GM. Meyer
KurzbeschreibungGrundlagen der Traktionsantriebe:
- elektrische Antriebssysteme und ihre Komponenten
- thermische Antriebssysteme
- Fahrzeuge mit Batteriespeichern
Systemintegration:
- Zugbeeinflussung
- Energieverbrauch
- Elektrische Systemkompatibilität
Lernziel- Kenntnisse über den Aufbau und die Eigenschaften von Traktions-Antriebssystemen
- Überblick über systemweite Aufgaben (elektrische Systemintegration, Zugischerungen, Energieverbrauch)
- Einblick in die Aktivitäten der Schienenfahrzeug-Industrie und der Bahnen in der Schweiz
- Begeisterung des Ingenieurnachwuchses für die berufliche Tätigkeit bei Eisenbahn-Fahrzeugherstellen, Bahninfrastrukturen und Eisenbahn-Verkehrsgesellschaften
InhaltEST II (Frühjahrsemester) - Vertiefung Antriebssysteme, Systemfragen

1 Traktionsausrüstung:
1.1 Systemkonzepte für Traktionsantriebe
1.2 Haupttransformator
1.3 Fahrmotoren
1.4 Stromrichter
1.5 Hochspannungskreise und Erdung
1.6 Thermische Auslegung
1.7 Diesel-Antriebssysteme
1.8 Batteriespeicher

2 Systemintegration
2.1 Zugbeeinflussung
2.2 Energieverbrauch
2.3 Aufbau der Bahnstromversorgung
2.4 Elektrische Systemkompatibilität

Geplante Exkursionen:
- Engineering und Leistungslabor, ABB Turgi
- Sicherungsanlagen, Siemens Wallisellen
- 2-tägige Schlussexkursion (Besichtigungen und Führerstandsfahrten, ausschliesslich für regelmässige Vorlesungsteilnehmer)
SkriptAbgabe der Unterlagen (gegen eine Schutzgebühr) zu Beginn des Semesters. Rechtzeitig eingeschriebene Teilnehmer (bis 8 Tage vor Vorlesungsbeginn) können die Unterlagen auf Wunsch und gegen eine Zusatzgebühr auch in Farbe beziehen.
Voraussetzungen / BesonderesDozent:
Dr. Markus Meyer, Emkamatik GmbH

Voraussichtlich Gastvortrag über ETCS von einem SBB-Referenten.

EST I (Herbstsemester) ist als Voraussetzung empfohlen, aber nicht notwendig. EST II (Frühjahrssemester) kann bei Interesse an Antriebssystemen auch als separate Vorlesung besucht werden.
101-0481-00LReadings in Transport PolicyW3 KP2GD. J. Reck
KurzbeschreibungThis course will explore the issues and constraints of transport policy through the joint readings of a set of relevant papers.

The class will meet every three weeks to discuss the texts.
LernzielFamiliarize the students with issues of transport policy making and the conflicts arising.

Train the ability to read critically and to summarize his/her understanding for him/herself and others through a review paper, paper abstracts and a paper review.
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.
101-0419-01LBahninfrastrukturen 1W2 KP2GU. A. Weidmann
KurzbeschreibungEinführung in Bahninfrastrukturen, Interoperabilität und Regelwerke, Infrastrukturplanung, Lageplanung, Anlagenentwurf, Gestaltung und Projektierung von Bahnhofanlagen, Einführung in die Bahntechnologie, Innovation im Bahnsystem, Inbetriebnahme von Bahninfrastrukturen, Strategien zur Kostenoptimierung, betriebliche Aspekte der Erhaltung.
LernzielVerstehen der Grundlagen von Bahninfrastrukturen, des Netz- und Anlagenentwurfs, der eingesetzten Technologien und des Infrastrukturbetriebs. Grundlage für Bahninfrastrukturen 2.
Inhalt(1) Grundlagen: Infrastrukturen des öffentlichen Verkehrs; Interaktion Fahrweg-Fahrzeug; Personen und Güter als Benützer der Infrastruktur; Netzbetrieb und -finanzierung; Normen und Regelwerke. (2) Infrastrukturplanung: Planungsprozesse und Planungsstufen; staatliche und unternehmerische Planungsprozesse; Linienführungsentwurf. (3) Anlagenentwurf: Entwurf von Personenbahnhöfen, Güterverkehrsanlagen, Betriebsanlagen. (4) Bahnhofsplanung: Gestaltung und Bemessung der Fussgängeranlagen von Bahnhöfen. (5) Bahntechnologie: Fahrbahn, Fahrstromversorgung, Sicherungsanlagen, Telekommunikationsanlagen. (6) Innovation: Grundlagen der Innovation des Bahnsystems; technologische Perspektiven. (7) Inbetriebnahme: Grundlagen; Prozesse; Testmethoden; Zuständigkeiten. (8) Erhaltung: Grundlagen; Arten der Wertverminderung; Überwachung; Erhaltungsschritte; Substanzerhaltungsbedarf; Minimierung der Unterhaltskosten; betriebliche Aspekte.
SkriptLehrbuch: Ulrich Weidmann: Bahninfrastrukturen - Planen, Entwerfen, Realisieren, Erhalten. vdf Hochschulverlag 2020. Deutsch.
Vorlesungsfolien werden zzur Verfügung gestellt.
LiteraturWeiterführende Literaturhinweise finden sich im Lehrbuch.
Voraussetzungen / BesonderesKeine Bemerkungen.
Vertiefung in Wasserbau und Wasserwirtschaft
NummerTitelTypECTSUmfangDozierende
101-0278-00LHochwasserschutzW3 KP2GR. Boes, J. Eberli
KurzbeschreibungKonzepte und bauliche Massnahmen zur Verhinderung bzw. Verminderung von Hochwasserschäden sowie erfolgversprechende Methoden zur Umsetzung einer ganzheitlichen Planung in der Praxis.
LernzielKennenlernen der Prozesse, die zu Hochwasserschäden führen, der verschiedenen Konzepte und baulichen Massnahmen, mit denen sie verhindert bzw. vermindert werden können sowie erfolgversprechende Methoden zur Umsetzung der Planung in der Praxis. Integrales Risikomanagement.
InhaltErläuterung der massgebenden Prozesse: Überflutung, Auflandung, Übersarung, Seiten- und Tiefenerosion, Murgänge.
Konzept der differenzierten Schutzziele für verschiedene Landnutzungen (von Naturland bis Industriegebiet).
Grundsätzliche Möglichkeiten des Hochwasserschutzes.
Raumplanung auf der Basis von Gefahrenzonen.
Klassische Massnahmen gegen Hochwasserschäden an Beispielen (Kapazitätserhöhung, Entlastungsbauwerke, Rückhaltbecken, Flutmulden, Polder).
Objektschutz als weiterführende Massnahme.
Unterhalt.
Betrachtung des Überlastfalls, Notfallmassnahmen.
Schadenbestimmung und Risikoabschätzung.
Umgang mit dem verbleibenden Risiko.
Zielkonflikte bei der Umsetzung der Massnahmen.
Angepasste Vorgehensweise.
Bearbeiten von Fallstudien in der Gruppe.
Exkursion.
SkriptHochwasserschutz-Skript
LiteraturRichtlinien und Wegleitungen der zuständigen Schweizer Bundesämter (insbesondere Bundesamt für Umwelt, BAFU)
102-0488-00LWater Resources ManagementW3 KP2GA. Castelletti
KurzbeschreibungModern engineering approach to problems of sustainable water resources, planning and management of water allocation requires the understanding of modelling techniques that allow to account for comprehensive water uses (thereby including ecological needs) and stakeholders needs, long-term analysis and optimization. The course presents the most relevant approaches to address these problems.
LernzielThe course provides the essential knowledge and tools of water resources planning and management. Core of the course are the concepts of data analysis, simulation, optimization and reliability assessment in relation to water projects and sustainable water resources management.
InhaltThe course is organized in four parts.
Part 1 is a general introduction to the purposes and aims of sustainable water resources management, problem understanding and tools identification.
Part 2 recalls Time Series Analysis and Linear Stochastic Models. An introduction to Nonlinear Time Series Analysis and related techniques will then be made in order to broaden the vision of how determinism and stochasticity might sign hydrological and geophysical variables.
Part 3 deals with the optimal allocation of water resources and introduces to several tools traditionally used in WRM, such as linear and dynamic programming. Special attention will be devoted to optimization (deterministic and stochastic) and compared to simulation techniques as design methods for allocation of water resources in complex and competitive systems, with focus on sustainability and stakeholders needs.
Part 4 will introduce to basic indexes used in economical and reliability analyses, and will focus on multicriteria analysis methods as a tool to assess the reliability of water systems in relation to design alternatives.
SkriptA copy of the lecture handouts will be available on the webpage of the course. Complementary documentation in the form of scientific and technical articles, as well as excerpts from books will be also made available.
LiteraturA number of book chapters and paper articles will be listed and suggested to read. They will also be part of discussion during the oral examination.
Voraussetzungen / BesonderesSuggested relevant courses: Hydrologie I (or a similar content course) and Wasserhaushalt (Teil "Wasserwirtschaft", 4. Sem. UmweltIng., or a similar content course) for those students not belonging to Environmental Engineering.
101-0268-01LPhysical Modelling in HydraulicsW2 KP2GI. Albayrak, D. Felix
KurzbeschreibungThis lecture focuses on physical hydraulic modelling, measurements and data analysis techniques. The advantages and limitations of the similitude laws and measurement techniques are presented with examples. The knowledge will be applied by the students in individual group work using a hydraulic model at VAW. The lecture is recommended for students with interest in an experimental MSc study at VAW.
LernzielTo deepen knowledge on possibilities and limitations of experimental modelling in hydraulic engineering and relevant measurement techniques, and to advance in data analysis i.e. time and frequency domains, error analysis and data interpretation.
InhaltFluid properties and basic equations
Similitude and dimensional analysis
Scaling laws and upscaling limits
Modelling techniques and how to build physical scale models
Sediment transport modelling (gravel bed rivers) & Sediment monitoring techniques
Measurement techniques:
Laser Doppler Anemometry (LDA),
Particle Image Velocimetry (PIV),
Particle Tracking Velocimetry (PTV),
Acoustic Doppler Velocimetry (ADV) and Acoustic Doppler Current Profiler (ADCP)
Video-metry and fibre optical instruments
Data analysis including curve fitting and error analysis
Laboratory visit including introduction to experimental facilities
Individual laboratory work in groups (measurement, data analysis and interpretation)
SkriptLecture notes/handouts will be available online.
Literaturis specified in the lecture.
Voraussetzungen / BesonderesStrongly recommended: Hydraulics I, Hydraulic Engineering I
101-0288-00LSnow and Avalanches: Processes and Risk ManagementW3 KP2GJ. Schweizer, S. L. Margreth
KurzbeschreibungDie Vorlesung behandelt Schnee- und Lawinenprozesse und präventive Schutzmassnahmen im Sinne des intergralen Risikomanagements.
Lernziel- Grundlagen der Schnee- und Lawinenmechanik vermitteln
- Methoden zur Modellierung von Schnee- und Lawinenprozessen aufzeigen
- Wechselwirkung von Schnee- und Lawinen mit Objekten (Gebäude, Masten, Kunstbauten) und Natur (insb. Wald) darstellen
- Methoden der kurz- und langfristigen Gefahrenanalyse erklären
- Mögliche Schutzmassnahmen im Rahmen eines integralen Risikomanagements vorstellen
- Grundlagen über Planung, Bemessung und Wirkung der verschiedenen kurz- und langfristigen Massnahmen vermitteln
InhaltÜbersicht über Schnee- und Lawinenprozesse im Einzugsgebiet; Schneeniederschlag, Schneelasten, Extremwertstatistik; Schneeeigenschaften; Schneedecke; Interaktion Schneedecke-Atmosphäre; Lawinenbildung; Gefahrenbeurteilung, Lawinenprognose; Lawinendynamik; Interaktion mit Objekten; Gefahrenzonierung; Schutzmassnahmen; Integrales Risikomanagement.
LiteraturArmstrong, R.L. and Brun, E. (Editors), 2008. Snow and Climate - Physical processes, surface energy exchange and modeling. Cambridge University Press, Cambridge, U.K., 222 pp.

BUWAL/SLF, 1984. Richtlinien zur Berücksichtigung der Lawinengefahr bei raumwirksamen Tätigkeiten. EDMZ, Bern.

Egli, T., 2005. Wegleitung Objektschutz gegen gravitative Naturgefahren, Vereinigung Kantonaler Feuerversicherungen (Hrsg.), Bern.

Fierz, C., Armstrong, R.L., Durand , Y., Etchevers, P., Greene, E., McClung, D.M., Nishimura, K., Satyawali, P.K. and Sokratov, S.A., 2009. The International Classification for Seasonal Snow on the Ground. HP-VII Technical Documents in Hydrology, 83. UNESCO-IHP, Paris, France, 90 pp.

Furukawa, Y. and Wettlaufer, J.S., 2007. Snow and ice crystals. Physics Today, 60(12): 70-71.

Margreth, S., 2007. Technische Richtlinie für den Lawinenverbau im Anbruchgebiet. Bundesamt für Umwelt, Bern, WSL Eidg. Institut für Schnee- und Lawinenforschung Davos. 134 S.

McClung. D.M. and Schaerer, P. 2006. The Avalanche Handbook, 3rd ed., The Mountaineers, Seattle.

Mears, A.I., 1992. Snow-avalanche hazard analysis for land-use planning and engineering. 49, Colorado Geological Survey.

Schweizer, J., Bartelt, P. and van Herwijnen, A., 2015. Snow avalanches. In: W. Haeberli and C. Whiteman (Editors), Snow and Ice-Related Hazards, Risks and Disasters. Hazards and Disaster Series. Elsevier, pp. 395-436.

Schweizer, J., Jamieson, J.B. and Schneebeli, M., 2003. Snow avalanche formation. Reviews of Geophysics, 41(4): 1016, doi:10.1029/2002RG000123.

Shapiro, L.H., Johnson, J.B., Sturm, M. and Blaisdell, G.L., 1997. Snow mechanics - Review of the state of knowledge and applications. Report 97-3, US Army CRREL, Hanover, NH, U.S.A.
Voraussetzungen / BesonderesGanztägige Exkursion (nicht obligatorisch) nach Davos zur Vertiefung ausgewählter Themen mit Einblick in die Tätigkeit des WSL-Instituts für Schnee- und Lawinenforschung SLF (Anfang März)
102-0448-00LGroundwater IIW6 KP4GM. Willmann, J. Jimenez-Martinez
KurzbeschreibungThe course is based on the course 'Groundwater I' and is a prerequisite for a deeper understanding of groundwater flow and contaminant transport problems with a strong emphasis on numerical modeling.
LernzielThe course should enable students to understand advanced concepts of groundwater flow and transport and to apply groundwater flow and transport modelling.

the student should be able to
a) formulate practical flow and contaminant transport problems.

b) solve steady-state and transient flow and transport problems in 2 and 3 spatial dimensions using numerical codes based on the finite difference method and the finite element methods.

c) solve simple inverse flow problems for parameter estimation given measurements.

d) assess simple multiphase flow problems.

e) assess spatial variability of parameters and use of stochastic techniques in this task.

f) assess simple coupled reactive transport problems.
InhaltIntroduction and basic flow and contaminant transport equation.

Numerical solution of the 3D flow equation using the finite difference method.

Numerical solution to the flow equation using the finite element equation

Numerical solution to the transport equation using the finite difference method.

Alternative methods for transport modeling like method of characteristics and the random walk method.

Two-phase flow and Unsaturated flow problems.

Spatial variability of parameters and its geostatistical representation -geostatistics and stochastic modelling.

Reactive transport modelling.
SkriptHandouts
Literatur- Anderson, M. and W. Woessner, Applied Groundwater Modeling, Elsevier Science & Technology Books, 448 p., 2002

- J. Bear and A. Cheng, Modeling Groundwater Flow and Contaminant Transport, Springer, 2010

- Appelo, C.A.J. and D. Postma, Geochemistry, Groundwater and Pollution, Second Edition, Taylor & Francis, 2005

- Rubin, Y., Applied Stochastic Hydrology, Oxford University Press, 2003

- Chiang und Kinzelbach, 3-D Groundwater Modeling with PMWIN. Springer, 2001.
Voraussetzungen / BesonderesEach afternoon will be divided into 2 h of lectures and 2h of exercises. Two thirds of the exercises of the course are organized as a computer workshop to get hands-on experience with groundwater modelling.
101-0259-00LRevitalisierung von FliessgewässernW3 KP2GV. Weitbrecht, M. Detert, M. Koksch, C. Weber
KurzbeschreibungDie Gerinnebildung alluvialer Flüsse (Regimebreite und Grundrissformen) wird aufgezeigt. Flusshydraulik und Sedimenttransporttheorie werden zusammengefasst. Auf dieser Basis werden Grundsätze für den naturnahen Wasserbau abgeleitet. Besonderes Gewicht erhält die Anwendung bei Hochwasserschutz- und Revitalisierungsprojekten.
LernzielDie wichtigsten Mechanismen der Gerinnebildung alluvialer Flüssen werden aufgezeigt. Flusshydraulik und Sedimenttransporttheorien werden zusammengefasst. Aus diesen Kenntnissen werden Grundsätze für den naturnahen Wasserbau abgeleitet.
Skriptkein Skript zur Vorlesung
Voraussetzungen / BesonderesAls Grundlage unbedingt empfohlen: Flussbau (Vorlesung 101-0258-00L)
101-0269-00LRiver Morphodynamic Modelling Belegung eingeschränkt - Details anzeigen W3 KP2GD. F. Vetsch, D. Vanzo
KurzbeschreibungThe course teaches the basics of morphodynamic modelling, relevant for civil and environmental engineers. The governing equations for sediment transport in open channels and corresponding numerical solution strategies are introduced. The theoretical parts are discussed by examples.
LernzielThe goal of the course is twofold. First, the students develop a throughout understanding of the basics of river morphodynamic processes. Second, they get familiar with numerical tools for the simulations in one- and two-dimensions of morphodynamics.
Inhalt- fundamentals of river morphodynamics (Exner equation, bed-load, suspended-load)
- aggradation and degradation processes
- river bars
- non-uniform sediment morphodynamics: the Hirano model
- short and long term response of gravel bed rivers to change in sediment supply
SkriptLecture notes, slides shown in the lecture and software can be downloaded
LiteraturCitations will be given in lecture.
Voraussetzungen / BesonderesExercises are based on the simulation software BASEMENT (Link), the open-source GIS Qgis (Link) and code examples written in MATLAB and Python. The applications comprise one- and two-dimensional approaches for the modelling of flow and sediment transport.

Requirements: Numerical Hydraulics, River Engineering, MATLAB and/or Python programming skills would be an advantage.
102-0248-00LInfrastructure Systems in Urban Water Management Information
Prerequisites: 102-0214-02L Urban Water Management I and 102-0215-00L Urban Water Management II.
W3 KP2GJ. P. Leitão Correia , M. Maurer, A. Scheidegger
KurzbeschreibungAn increasing demand for infrastructure management skills can be observed in the environmental engineering practice. This course gives an introductory overview of infrastructure management skills needed for urban water infrastructures, with a specific focus on performance, risk and engineering economics analyses.
LernzielAfter successfully finishing the course, the participants will have the following skills and knowledge:
- Know the key principles of infrastructure management
- Know the basics of performance and risk assessment
- Can perform basic engineering economic analysis
- Know how to quantify the future rehabilitation needs
InhaltThe nationwide coverage of water distribution and wastewater treatment is one of the major public works achievements in Switzerland and other countries. Annually and per person, 135,000 L of drinking water is produced and distributed and over 535,000 L of stormwater and wastewater is drained. These impressive services are done with a pipe network with a length of almost 200,000 km and a total replacement value of 30,000 CHF per capita.

Water services in Switzerland are moving from a phase of new constructions into one of maintenance and optimization. The aim today must be to ensure that existing infrastructure is professionally maintained, to reduce costs, and to ensure the implementation of modern, improved technologies and approaches. These challenging tasks call for sound expertise and professional management.

This course gives an introduction into basic principles of water infrastructure management. The focus is primarily on Switzerland, but most methods and conclusions are valid for many other countries.
SkriptThe script 'Engineering Economics for Public Water Utilities' can be downloaded from the moodle course page.
Vertiefung in Werkstoffe und Mechanik
NummerTitelTypECTSUmfangDozierende
101-0658-00LConcrete Material ScienceW4 KP2GR. J. Flatt, T. Wangler
KurzbeschreibungConcrete Material Science untersucht wie die Eigenschaften von Beton beeinflusst werden durch seine Mikrostruktur und wie diese Mikrostruktur durch Verarbeitung und Zusammensetzung bestimmt ist. In diesem Kurs werden verschiedene Techniken vorgestellt, die sowohl in der Forschung wie in der praktischen Konstruktion verwendet werden um den Beton und seine Bestandteile zu charakterisieren.
LernzielIn diesem Kurs werden sie ein tieferes Verständnis gewinnen über die gebräuchlichen Techniken zur Charakterisierung der technischen, mikrostrukturellen, physikalischen und chemischen Eigenschaften von Beton. Sie werden lernen wie dieses Wissen in wissenschaftlicher und industrieller Umgebung benutzt werden kann. In der Praxis werden diese Methoden verwendet um zum Beispiel neue Materialien zu evaluieren, Ursachen für Probleme zu diagnostizieren, Verantwortlichkeiten zu bestimmen, Rückforderungen oder Qualitätsversicherungen zu bearbeiten, wie auch experimentelle Programme in Forschung und Entwicklung zu entwerfen. Während des Kurses werden Sie auch lernen wie Beton konstruiert werden kann, so dass er die Umwelt weniger belastet und eine verlängerte Lebenszeit hat.
InhaltProgramm:
1. Einführung in die Betonmaterialwissenschaft
2. Thermodynamisches Modellieren der Zementhydratation und dessen industrielle Relevanz. Dr. Thomas Matschei (Holcim Group Support)
3. Charakterisierungsmethoden I
4. Charakterisierungsmethoden II
5. Charakterisierungsmethoden III: Solid State NMR. Prof. Jean-Baptiste d'Espinose (ESPCI)
6. Frischbetoneigenschaften - Rheologie
7. Chemische Zusatzmittel
8. Transport in porösen Baustoffe
9. Dauerhaftigkeit I
10. Alternative Bindemittel
11. Dauerhaftigkeit II - Alkali-Silika Reaktion. Dr. Andreas Lehmann (EMPA)
12. Praktische Übungen I
13. Praktische Übungen II
14. Praktische Übungen III
SkriptStudentinnen/Studenten erhalten die gesamte obligatorische Literatur ausgedruckt.
LiteraturStudentinnen/Studenten erhalten die gesamte obligatorische Literatur ausgedruckt.
Voraussetzungen / BesonderesStudenten mit Bachelor-Abschluss
Weitere Abschlüsse: Dipl. Ing. ETH oder FH
101-0678-00LWood Physics & Wood MaterialsW3 KP2GI. Burgert, T. Zimmermann
KurzbeschreibungWesentliche Zusammenhänge zwischen Struktur und Eigenschaften von Holz und Holzwerkstoffen werden behandelt. Der hierarchischen Struktur des Holzes folgend, spielen zudem Fragen der nanostrukturellen Charakterisierung und der Mikromechanik eine wichtige Rolle. Im Hinblick auf Materialentwicklungen, werden Konzepte zur Herstellung holzbasierter Materialien vorgestellt.
LernzielHolz ist weltweit einer der wichtigsten Werkstoffe. Es werden Kenntnisse zu wesentlichen physikalischen Eigenschaften von Holz, Holzwerkstoffen und holzbasierten Materialien sowie die Wechselwirkungen zwischen Struktur und Eigenschaften vermittelt. Diese Kenntnisse sind die Grundlage für einen materialgerechten Einsatz von Holz und holzbasierten Materialien sowie für eine weitere Verbesserung der Zuverlässigkeit des Holzes und der Erschliessung neuer Anwendungsbereiche.
InhaltFolgende Schwerpunkte werden vermittelt:
Hierarchischer Aufbau des Holzes und Zusammensetzung der Holzwerkstoffe
Physikalische Eigenschaften (Dichte, Holzfeuchte, Quellen und Schwinden)
Mechanische Eigenschaften auf verschiedenen Längenskalen
Nanostrukturelle Charakterisierung
Materialien aus Nanozellulose
Holzvergütung und Dauerhaftigkeit
Holz-Polymer-Komposite
Holz-Hybridmaterialien
Holzoberflächen
Holz-Funktionsmaterialien
SkriptEs werden vor jeder Vorlesungseinheit Arbeitsunterlagen per e-mail verschickt.
LiteraturNiemz, P.: Physik des Holzes und der Holzwerkstoffe, DRW Verlag 1993
Bodig, J.; Jayne, B.A.: Mechanics of wod and wood composites. Krieger, Malabar, Florida 1993
Dunky,M.; Niemz, P.: Holzwerkstoffe und Leime. Springer, Berlin 2002
Wagenführ,A.; Scholz,F.:Taschenbuch der Holztechnik (Kapitel 1.4 und 2, P.Niemz), Hanser Verlag 2008
101-0679-00LZerstörungsfreie Werkstoffprüfung und Zustandsüberwachung Belegung eingeschränkt - Details anzeigen
Maximale Teilnehmerzahl: 8
W3 KP2PI. Burgert, U. Angst
KurzbeschreibungIn einführenden Vorlesungen werden Methoden der zerstörungsfreien Prüfung von Holz und Beton vorgestellt. Danach werden im Labor ausgewählte Experimente eigenständig durchgeführt (z.B. Feuchtemessung, Durchschallung, Härtemessung und Bohrwiderstandsmessung). Ausgewählte Einflussgrössen auf die Werkstoffeigenschaften werden exemplarisch geprüft. Es ist ein schriftlicher Bericht zu erstellen.
LernzielKennenlernen wichtiger Methoden der zerstörungsfreien Werkstoffprüfung von Beton und Holz. Dabei werden insbesondere Methoden, die auf gleichen physikalischen Prinzipien beruhen (z.B. Widerstandsmessung, Durchschallung, Härtemessung, Röntgen) für beide Materialien vergleichend angewendet. Die Lehrveranstaltung soll die Grundlagen für die Beurteilung des Bauwerkszustandes von Beton- und Holzbauten vermitteln.
InhaltVertiefte Kenntnisse zum strukturellen Aufbau von Beton und Holz
Kennenlernen von Methoden der zerstörungsfreien Prüfung von Beton, Holz und Holzwerkstoffen (Feuchtemessung, Ultraschall, Röntgen, Bohrwiderstand, Härtemessung)
Probleme der Kalibrierung von Messgeräten, Einfluss von Störgrössen (z.B. Temperatur)
Beurteilung und Erkennung von Schädigungen wie Korrosion bei Beton oder Pilz- und Insektenbefall bei Holz (Alterung der Baustoffe)
Erstellen von Berichten zum Bauzustand
Vorschläge zur Instandsetzung von Bauten
SkriptEin Skript zur Lehrveranstaltung wird abgegeben. Zusätzlich werden Sonderdrucke oder weiterführende Texte ausgegeben.
LiteraturWerkstoff Holz:
Niemz, P.; Sander, D.: Prozessmesstechnik in der Holzindustrie. Leipzig 1990
Tagungsbände Fachtagungen zur zerstörungsfreien Werkstoffprüfung
Bucur, V.: Characterization and Imaging of Wood. Springer 2003
Bucur, V.: Acoustics of Wood. Springer 2006
Vollenschar (Hrsg): Wendehorst Baustoffkunde. 26. Auflage. Teubner 2004
Hasenstab, A.: Integritätsprüfung mit zerstörungsfreien Ultraschallechoverfahren.
Diss. TU Berlin 2005
Unger, A.: Schniewind, A.P.; Unger, W.: Conservation of wood artifacts.
Springer 2001

Werkstoff Beton
D. Bürcheler: Der elektrische Widerstand von zementösen Werkstoffen. Diss. ETHZ 11876 (1996)
327-2224-00LMaP Distinguished Lecture Series on Additive Manufacturing
Findet dieses Semester nicht statt.
This course is primarily designed for MSc and doctoral students. Guests are welcome.
W1 KP2Sweitere Dozierende
KurzbeschreibungThis course is an interdisciplinary colloquium on Additive Manufacturing (AM) involving different internationally renowned speakers from academia and industry giving lectures about their cutting-edge research, which highlights the state-of-the-art and frontiers in the AM field.
LernzielParticipants become acquainted with the state-of-the-art and frontiers in Additive Manufacturing, which is a topic of global and future relevance from the field of materials and process engineering. The self-study of relevant literature and active participation in discussions following presentations by internationally renowned speaker stimulate critical thinking and allow participants to deliberately discuss challenges and opportunities with leading academics and industrial experts and to exchange ideas within an interdisciplinary community.
InhaltThis course is a colloquium involving a selected mix of internationally renowned speaker from academia and industry who present their cutting-edge research in the field of Additive Manufacturing. The self-study of relevant pre-read literature provided in advance to each lecture serves as a basis for active participation in the critical discussions following each presentation.
SkriptSelected scientific pre-read literature (max. three articles per lecture) relevant for and discussed at the end of each individual lecture is posted in advance on the course web page
Voraussetzungen / BesonderesParticipants should have a solid background in materials science and/or engineering.
101-0158-01LMethod of Finite Elements IW4 KP2GE. Chatzi, P. Steffen
KurzbeschreibungThe course introduces students to the fundamental concepts of the Method of Finite Elements, including element formulations, numerical solution procedures and modelling details. We aim to equip students with the ability to code algorithms (based on Python) for the solution of practical problems of structural analysis.
DISCLAIMER: the course is not an introduction to commercial software.
LernzielThe Direct Stiffness Method is revisited and the basic principles of Matrix Structural Analysis are overviewed.
The basic theoretical concepts of the Method of Finite Elements are imparted and perspectives for problem solving procedures are provided.
Linear finite element models for truss and continuum elements are introduced and their application for structural elements is demonstrated.
The Method of Finite Elements is implemented on practical problems through accompanying demonstrations and assignments.
Inhalt1) Introductory Concepts
Matrices and linear algebra - short review.

2) The Direct Stiffness Method
Demos and exercises in MATLAB or Python

3) Formulation of the Method of Finite Elements.
- The Principle of Virtual Work
- Isoparametric formulations
- 1D Elements (truss, beam)
- 2D Elements (plane stress/strain)
Demos and exercises in MATLAB or Python

4) Practical application of the Method of Finite Elements.
- Practical Considerations
- Results Interpretation
- Exercises, where structural case studies are modelled and analyzed
SkriptThe lecture notes are in the form of slides, available online from the course webpage:
Link
LiteraturStructural Analysis with the Finite Element Method: Linear Statics, Vol. 1 & Vol. 2 by Eugenio Onate (available online via the ETH Library)

Supplemental Reading
Bathe, K.J., Finite Element Procedures, Prentice Hall, 1996.
Voraussetzungen / BesonderesPrior basic knowledge of Python is necessary.
101-0691-00LTowards Efficient and High-Performance Computing for Engineers Belegung eingeschränkt - Details anzeigen W4 KP2GD. Kammer
KurzbeschreibungThis course is an introduction to various programming techniques and tools for the development of scientific simulations (using C++). It provides the practical and theoretical basis for high-performance computing (HPC) including data structure, testing, performance evaluation and parallelization. The course bridges the gap between introductory and advanced programming courses.
LernzielThis course provides an overview of programming techniques relevant for efficient and high-performance computing. It builds on introductory coding experience (e.g. matlab/python/java) and introduces the students to more advanced tools, specifically C++, external libraries, and supercomputers. The objective of this course is to introduce various approaches of good practice in developing your own code (for your research or engineering project) or using/modifying existing open-source programs. The course targets engineering students and seeks to provide a practical introduction towards performance-based computational simulation.
Inhalt1. code versioning and DevOps lifecycle
2. introduction to C++
3. structured programming
4. object-oriented programming
5. code testing
6. code performance (design, data structure, evaluating, using external libraries)
7. code parallelization
8. running simulations on supercomputers
SkriptWill be provided during the lecture via moodle.
LiteraturWill be provided during the lecture.
Voraussetzungen / BesonderesA good knowledge of MATLAB (or Python or java) is necessary for attending this course.
Projektarbeiten
NummerTitelTypECTSUmfangDozierende
101-0198-10LProjektarbeit in Konstruktion Belegung eingeschränkt - Details anzeigen
Nur für Bauingenieurwissenschaften MSc, Studienreglement 2020.
W11 KP24ABetreuer/innen
KurzbeschreibungBearbeitung einer konkreten Aufgabenstellung aus der Konstruktion
LernzielSelbständiges, strukturiertes und wissenschaftliches Arbeiten fördern; typische ingenieurwissenschaftliche Arbeitsmethoden anwenden lernen; Fachwissen auf dem Gebiet der bearbeiteten Aufgabenstellung vertiefen.
InhaltDie Projektarbeit steht unter der Leitung eines Professors/einer Professorin. Den Studierenden werden verschiedene Themen und Inhalte zur individuellen Auswahl angeboten.
101-0298-10LProjektarbeit in Wasserbau und Wasserwirtschaft Belegung eingeschränkt - Details anzeigen
Nur für Bauingenieurwissenschaften MSc, Studienreglement 2020.
W11 KP24ABetreuer/innen
KurzbeschreibungBearbeitung einer konkreten Aufgabenstellung aus dem Wasserbau und der Wasserwirtschaft
LernzielSelbständiges, strukturiertes und wissenschaftliches Arbeiten fördern; typische ingenieurwissenschaftliche Arbeitsmethoden anwenden lernen; Fachwissen auf dem Gebiet der bearbeiteten Aufgabenstellung vertiefen.
InhaltDie Projektarbeit steht unter der Leitung eines Professors/einer Professorin. Den Studierenden werden verschiedene Themen und Inhalte zur individuellen Auswahl angeboten.
101-0398-10LProjektarbeit in Geotechnik Belegung eingeschränkt - Details anzeigen
Nur für Bauingenieurwissenschaften MSc, Studienreglement 2020.
W11 KP24ABetreuer/innen
KurzbeschreibungBearbeitung einer konkreten Aufgabenstellung aus der Geotechnik.
LernzielSelbständiges, strukturiertes und wissenschaftliches Arbeiten fördern; typische ingenieurwissenschaftliche Arbeitsmethoden anwenden lernen; Fachwissen auf dem Gebiet der bearbeiteten Aufgabenstellung vertiefen.
InhaltDie Projektarbeit steht unter der Leitung eines Professors/einer Professorin. Den Studierenden werden verschiedene Themen und Inhalte zur individuellen Auswahl angeboten.
101-0498-10LProjektarbeit in Verkehrssysteme Belegung eingeschränkt - Details anzeigen
Nur für Bauingenieurwissenschaften MSc, Studienreglement 2020.
W11 KP24ABetreuer/innen
KurzbeschreibungBearbeitung einer konkreten Aufgabenstellung aus dem Bereich Verkehrssysteme
LernzielSelbständiges, strukturiertes und wissenschaftliches Arbeiten fördern; typische ingenieurwissenschaftliche Arbeitsmethoden anwenden lernen; Fachwissen auf dem Gebiet der bearbeiteten Aufgabenstellung vertiefen.
InhaltDie Projektarbeit steht unter der Leitung eines Professors/einer Professorin. Den Studierenden werden verschiedene Themen und Inhalte zur individuellen Auswahl angeboten.
101-0598-10LProjektarbeit in Bau- und Erhaltungsmanagement Belegung eingeschränkt - Details anzeigen
Nur für Bauingenieurwissenschaften MSc, Studienreglement 2020.
W11 KP24ABetreuer/innen
KurzbeschreibungBearbeitung einer konkreten Aufgabenstellung aus dem Bereich Bau- und Erhaltungsmanagement
LernzielSelbständiges, strukturiertes und wissenschaftliches Arbeiten fördern; typische ingenieurwissenschaftliche Arbeitsmethoden anwenden lernen; Fachwissen auf dem Gebiet der bearbeiteten Aufgabenstellung vertiefen.
InhaltDie Projektarbeit steht unter der Leitung eines Professors/einer Professorin. Den Studierenden werden verschiedene Themen und Inhalte zur individuellen Auswahl angeboten.
101-0698-10LProjektarbeit in Werkstoffe und Mechanik Belegung eingeschränkt - Details anzeigen
Nur für Bauingenieurwissenschaften MSc, Studienreglement 2020.
W11 KP24ABetreuer/innen
KurzbeschreibungBearbeitung einer konkreten Aufgabenstellung aus den Bereichen Werkstoffe und Mechanik
LernzielSelbständiges, strukturiertes und wissenschaftliches Arbeiten fördern; typische ingenieurwissenschaftliche Arbeitsmethoden anwenden lernen; Fachwissen auf dem Gebiet der bearbeiteten Aufgabenstellung vertiefen.
InhaltDie Projektarbeit steht unter der Leitung eines Professors/einer Professorin. Den Studierenden werden verschiedene Themen und Inhalte zur individuellen Auswahl angeboten.
101-0194-00LSeismic Evaluation and Retrofitting of Existing BuildingsW2 KP1GA. Tsiavos
KurzbeschreibungThe aim of this course is to present the state of the art of the current procedures for seismic evaluation and retrofitting of existing buildings in Switzerland (Norm SIA 269/8) and worldwide. Emphasis will be given on the practical application of these procedures in real buildings located in Switzerland, through case studies presented by experts in the field.
LernzielA large percentage of the existing building inventory worldwide has been constructed before the introduction of the current seismic code provisions. The seismic deficiencies observed in many of these structures are a direct outcome of their non-compliance with these provisions and the established engineering practices in seismic design. Moreover, the unavoidable material deterioration in these structures could further inhibit their seismic performance. Therefore, the knowledge of the current procedures and common practices for the seismic evaluation and retrofitting of buildings is of paramount importance. This course presents an overview of these procedures through a wide spectrum of applied case studies in Switzerland and worldwide. The students will work on a project related to the presented case studies, thus obtaining deep understanding on the application of these procedures and a feeling on how to engineer practical retrofitting strategies towards the seismic upgrading of existing buildings.
Inhalt1. Introduction to seismic hazard and seismic performance objectives.
2. Common structural deficiencies and observed damage patterns in buildings due to strong earthquake ground motion excitation.
3. Seismic evaluation of buildings in Switzerland using Norm SIA 269/8: Presentation of the code in steps and discussion of the critical issues.
4. Seismic retrofitting of buildings in Switzerland using Norm SIA 269/8: Presentation of the code in steps and discussion of the critical issues.
5. Application of seismic evaluation using SIA 269/8 on an existing building in Switzerland.
6. Application of seismic retrofitting using SIA 269/8 on an existing building in Switzerland.
7. Seismic evaluation methodologies worldwide: State of the art. Presentation of illustrative examples.
8. Introduction to Yield Point Spectra and the Constant Yield Displacement Evaluation (CYDE) method.
9. Seismic retrofitting strategies worldwide: State of the art. Presentation of illustrative examples.
Voraussetzungen / BesonderesThe attendance of the course Existing Structures (Erhaltung von Tragwerken-101-0129-00L) and the participation in the course Seismic Design of Structures I (101-0188-00L) in parallel with this course are highly recommended.
Fächer Digital
NummerTitelTypECTSUmfangDozierende
101-0138-11LBridge Design: Project Competition Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 20.

All students get on waiting list. Final registration based on application letter (information given in first lecture). Priority will be given to students attending “Bridge Design (101-0138-00 G)” and in the primary target group (Major in Structural Engineering or Projektbasierte Lehrveranstaltungen).
W4 KP2SW. Kaufmann
KurzbeschreibungThis module offers the possibility to apply the fundamentals of the course Bridge Design in a conceptual design project. The scenario is set as a design competition: The students (group of two) will get a basic documentation (service criteria agreement, plans, digital terrain model, geotechnical report, photo documentation, etc.) and will develop a conceptual design suitable for the given site.
LernzielAt the end of the course, students will have developed a convincing bridge design that satisfies following criteria:
_ Consideration of governing boundary conditions and constraints.
_ Conception of an efficient structural system with an adequate aesthetic expression considering the environment.
_ Definition of the relevant actions and decisive load cases.
_ Proof of feasibility by dimensioning the main structural elements.
_ Schematic overview of construction processes.
_ Appropriate presentation and visualisation of the proposed bridge design.
InhaltThe module is built up as follows:
0. Presentation of problem statement / project. (1st week of semester)
1. Team registration (teams of two students).
2. Issue of documents.
3. Introduction to design tools & working methods.
4. Working on project (milestones):
... a. Define requirements and boundary conditions.
... b. Study of references and possible concepts
... c. Choice of best variant
... d. Structural modelling & calculations
... e. Plans & visualisation
5. Submission
Voraussetzungen / BesonderesIt is highly recommended to attend the course “Bridge Design (101-0138-00 G)” simultaneously.
101-0579-00LInfrastructure Management 2: Evaluation ToolsW6 KP2GB. T. Adey, S. Kerwin, S. Moghtadernejad
KurzbeschreibungThis course provides tools to predict the service being provided by infrastructure in situations where the infrastructure is expected to

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

2) to change suddenly with relatively large uncertainty, e.g. due to being washed away from an extreme flood.
LernzielThe course learning objective is to equip students with tools to be used to the service being provided from infrastructure.
The course increases a student's ability to analyse complex problems and propose solutions and to use state-of-the-art methods of analysis to assess complex problems
InhaltReliability
Availability and maintainability
Regression analysis
Event trees
Fault trees
Markov chains
Neural networks
Bayesian networks
SkriptAll necessary materials (e.g. transparencies and hand-outs) will be distributed before class.
LiteraturAppropriate reading material will be assigned when necessary.
Voraussetzungen / BesonderesAlthough not an official prerequisite, it is perferred that students have taken the IM1:Process course first. Understanding of the infrastructure management process enables a better understanding of where and how the tools introduced in this course can be used in the management of infrastructure.
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. Each specific class will include some theory about industrialized construction from a strategic and/or technological perspective. There will be several external guest lectures as well. During the last hour of the course, students will work in project teams to propose a framework for a new industrialized construction venture. The teams will need to determine their new company’s product offering, business model, technical platform, technology solutions, and supply chain strategy.

It is intended to hold a group excursion to a factory for a 1/2 day visit. However in 2021, this will be determined pending the status of COVID-19 restrictions. planned course activities include a 1/2 day factory visit Students who are unable to attend the visit can make up participation through independent research and the writing of a short paper.
LiteraturA full list of required readings will be made available to the students via Moodle.
101-0521-10LMachine Learning for Predictive Maintenance Applications Belegung eingeschränkt - Details anzeigen
The number of participants in the course is limited to 25 students.

Students interested in attending the lecture are requested to upload their transcript and a short motivation responding the following two questions (max. 200 words):
-How does this course fit to the other courses you have attended so far?
-How does the course support you in achieving your goal?
The following link can be used to upload the documents.
Link
W8 KP4GO. Fink
KurzbeschreibungThe course aims at developing machine learning algorithms that are able to use condition monitoring data efficiently and detect occurring faults in complex industrial assets, isolate their root cause and ultimately predict the remaining useful lifetime.
LernzielStudents will
- be able to understand the main challenges faced by predictive maintenance systems
- learn to extract relevant features from condition monitoring data
-learn to select appropriate machine learning algorithms for fault detection, diagnostics and prognostics
-learn to define the learning problem in way that allows its solution based on existing constrains such as lack of fault samples.
- learn to design end-to-end machine learning algorithms for fault detection and diagnostics
-be able to evaluate the performance of the applied algorithms.

At the end of the course, the students will be able to design data-driven predictive maintenance applications for complex engineered systems from raw condition monitoring data.
InhaltEarly and reliable detection, isolation and prediction of faulty system conditions enables the operators to take recovery actions to prevent critical system failures and ensure a high level of availability and safety. This is particularly crucial for complex systems such as infrastructures, power plants and aircraft engines. Therefore, their system condition is increasingly tightly monitored by a large number of diverse condition monitoring sensors. With the increased availability of data on system condition on the one hand, and the increased complexity of explicit system physics-based models on the other hand, the application of data-driven approaches for predictive maintenance has been recently increasing.
This course provides insights and hands-on experience in selecting, designing, optimizing and evaluating machine learning algorithms to tackle the challenges faced by maintenance systems of complex engineered systems.

Specific topics include:

-Introduction to condition monitoring and predictive maintenance systems
-Feature extraction and selection methodology
-Machine learning algorithms for fault detection and fault isolation
-End-to-end learning architectures (including feature learning) for fault detection and fault isolation
-Unsupervised and semi-supervised learning algorithms for predictive maintenance
-Machine learning algorithms for prediction of the remaining useful life
-Performance evaluation
-Predictive maintenance systems at fleet level
-Domain adaptation for fault diagnostics
-Introduction to decision support systems for maintenance applications
SkriptSlides and other materials will be available online.
LiteraturRelevant scientific papers will be discussed in the course.
Voraussetzungen / BesonderesStrong analytical skills.
Programming skills in python are strongly recommended.
101-0158-01LMethod of Finite Elements IW4 KP2GE. Chatzi, P. Steffen
KurzbeschreibungThe course introduces students to the fundamental concepts of the Method of Finite Elements, including element formulations, numerical solution procedures and modelling details. We aim to equip students with the ability to code algorithms (based on Python) for the solution of practical problems of structural analysis.
DISCLAIMER: the course is not an introduction to commercial software.
LernzielThe Direct Stiffness Method is revisited and the basic principles of Matrix Structural Analysis are overviewed.
The basic theoretical concepts of the Method of Finite Elements are imparted and perspectives for problem solving procedures are provided.
Linear finite element models for truss and continuum elements are introduced and their application for structural elements is demonstrated.
The Method of Finite Elements is implemented on practical problems through accompanying demonstrations and assignments.
Inhalt1) Introductory Concepts
Matrices and linear algebra - short review.

2) The Direct Stiffness Method
Demos and exercises in MATLAB or Python

3) Formulation of the Method of Finite Elements.
- The Principle of Virtual Work
- Isoparametric formulations
- 1D Elements (truss, beam)
- 2D Elements (plane stress/strain)
Demos and exercises in MATLAB or Python

4) Practical application of the Method of Finite Elements.
- Practical Considerations
- Results Interpretation
- Exercises, where structural case studies are modelled and analyzed
SkriptThe lecture notes are in the form of slides, available online from the course webpage:
Link
LiteraturStructural Analysis with the Finite Element Method: Linear Statics, Vol. 1 & Vol. 2 by Eugenio Onate (available online via the ETH Library)

Supplemental Reading
Bathe, K.J., Finite Element Procedures, Prentice Hall, 1996.
Voraussetzungen / BesonderesPrior basic knowledge of Python is necessary.
101-0178-01LUncertainty Quantification in Engineering Information W3 KP2GS. Marelli, B. Sudret
KurzbeschreibungUncertainty quantification aims at studying the impact of aleatory and epistemic uncertainty onto computational models used in science and engineering. The course introduces the basic concepts of uncertainty quantification: probabilistic modelling of data (copula theory), uncertainty propagation techniques (Monte Carlo simulation, polynomial chaos expansions), and sensitivity analysis.
LernzielAfter this course students will be able to properly pose an uncertainty quantification problem, select the appropriate computational methods and interpret the results in meaningful statements for field scientists, engineers and decision makers. The course is suitable for any master/Ph.D. student in engineering or natural sciences, physics, mathematics, computer science with a basic knowledge in probability theory.
InhaltThe course introduces uncertainty quantification through a set of practical case studies that come from civil, mechanical, nuclear and electrical engineering, from which a general framework is introduced. The course in then divided into three blocks: probabilistic modelling (introduction to copula theory), uncertainty propagation (Monte Carlo simulation and polynomial chaos expansions) and sensitivity analysis (correlation measures, Sobol' indices). Each block contains lectures and tutorials using Matlab and the in-house software UQLab (Link).
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.
101-0008-00LStructural Identification and Health MonitoringW3 KP2GE. Chatzi, V. Ntertimanis
KurzbeschreibungThis course will present methods for structural identification and health monitoring. We show how to exploit measurements of structural response (e.g. strains, deflections, accelerations) for evaluating structural condition, with the purpose of maintaining a safe and resilient infrastructure.
LernzielThis course aims at providing a graduate level introduction into the identification and condition assessment of structural systems.

Upon completion of the course, the students will be able to:
1. Test Structural Systems for assessing their condition, as this is expressed through measurements of dynamic response.
2. Analyse vibration signals for identifying characteristic structural properties, such as frequencies, mode shapes and damping, based on noisy measurements of the structural response.
3. Formulate structural equations in the time and frequency domain
4. Identify possible damage into the structure by picking up statistical changes in the structural behavior
InhaltThe course will include theory and algorithms for system identification, programming assignments, as well as laboratory and field testing, thereby offering a well-rounded overview of the ways in which we may extract response data from structures.

The topics to be covered are :

1. Elements of Vibration Theory
2. Transform Domain Methods
3. Digital Signals (P
4. Nonparametric Identification for processing test and measurement data
(transient, correlation, spectral analysis)
5. Parametric Identification (time series analysis, transfer functions)

A series of computer/lab exercises and in-class demonstrations will take place, providing a "hands-on" feel for the course topics.

Grading:
- This course offers optional homework as learning tasks, which can improve the grade of the end-​of-semester examination up to 0.25 grade points (bonus).
- The learning tasks will be taken into account if all 3 homeworks are submitted. The maximum grade of 6 can also be achieved by sitting the final examination only.
SkriptThe course script is composed by the lecture slides, which are available online and will be continuously updated throughout the duration of the course: Link
LiteraturSuggested Reading:
T. Söderström and P. Stoica: System Identification, Prentice Hall International: Link
Voraussetzungen / BesonderesFamiliarity with MATLAB is advised.
102-0488-00LWater Resources ManagementW3 KP2GA. Castelletti
KurzbeschreibungModern engineering approach to problems of sustainable water resources, planning and management of water allocation requires the understanding of modelling techniques that allow to account for comprehensive water uses (thereby including ecological needs) and stakeholders needs, long-term analysis and optimization. The course presents the most relevant approaches to address these problems.
LernzielThe course provides the essential knowledge and tools of water resources planning and management. Core of the course are the concepts of data analysis, simulation, optimization and reliability assessment in relation to water projects and sustainable water resources management.
InhaltThe course is organized in four parts.
Part 1 is a general introduction to the purposes and aims of sustainable water resources management, problem understanding and tools identification.
Part 2 recalls Time Series Analysis and Linear Stochastic Models. An introduction to Nonlinear Time Series Analysis and related techniques will then be made in order to broaden the vision of how determinism and stochasticity might sign hydrological and geophysical variables.
Part 3 deals with the optimal allocation of water resources and introduces to several tools traditionally used in WRM, such as linear and dynamic programming. Special attention will be devoted to optimization (deterministic and stochastic) and compared to simulation techniques as design methods for allocation of water resources in complex and competitive systems, with focus on sustainability and stakeholders needs.
Part 4 will introduce to basic indexes used in economical and reliability analyses, and will focus on multicriteria analysis methods as a tool to assess the reliability of water systems in relation to design alternatives.
SkriptA copy of the lecture handouts will be available on the webpage of the course. Complementary documentation in the form of scientific and technical articles, as well as excerpts from books will be also made available.
LiteraturA number of book chapters and paper articles will be listed and suggested to read. They will also be part of discussion during the oral examination.
Voraussetzungen / BesonderesSuggested relevant courses: Hydrologie I (or a similar content course) and Wasserhaushalt (Teil "Wasserwirtschaft", 4. Sem. UmweltIng., or a similar content course) for those students not belonging to Environmental Engineering.
101-0269-00LRiver Morphodynamic Modelling Belegung eingeschränkt - Details anzeigen W3 KP2GD. F. Vetsch, D. Vanzo
KurzbeschreibungThe course teaches the basics of morphodynamic modelling, relevant for civil and environmental engineers. The governing equations for sediment transport in open channels and corresponding numerical solution strategies are introduced. The theoretical parts are discussed by examples.
LernzielThe goal of the course is twofold. First, the students develop a throughout understanding of the basics of river morphodynamic processes. Second, they get familiar with numerical tools for the simulations in one- and two-dimensions of morphodynamics.
Inhalt- fundamentals of river morphodynamics (Exner equation, bed-load, suspended-load)
- aggradation and degradation processes
- river bars
- non-uniform sediment morphodynamics: the Hirano model
- short and long term response of gravel bed rivers to change in sediment supply
SkriptLecture notes, slides shown in the lecture and software can be downloaded
LiteraturCitations will be given in lecture.
Voraussetzungen / BesonderesExercises are based on the simulation software BASEMENT (Link), the open-source GIS Qgis (Link) and code examples written in MATLAB and Python. The applications comprise one- and two-dimensional approaches for the modelling of flow and sediment transport.

Requirements: Numerical Hydraulics, River Engineering, MATLAB and/or Python programming skills would be an advantage.
101-0368-00LConstitutive and Numerical Modelling in Geotechnics Belegung eingeschränkt - Details anzeigen
The priority is given to the students with Major in Geotechnics.

It uses computer room with a limited number of computers and software licenses.
W6 KP4GA. Puzrin, D. Hauswirth
KurzbeschreibungThis course aims to achieve a basic understanding of conventional continuum mechanics approaches to constitutive and numerical modeling of soils in getechnical problems. We focus on applications of the constitutive models within the available numerical codes. Important issue of derivation of model parameters from the lab tests has also received considerable attention.
LernzielThis course targets geotechnical engineers, who face these days more often the necessity of the numerical analysis in their practice. Understanding of the limitations of the built-in constitutive models is crucial for critical assessment of the results of numerical calculations, and, hence, for the conservative and cost efficient design of geotechnical structures.
The purpose of this course has been to bridge the gap between the graduate courses in Geomechanics and those in Numerical Modeling. Traditionally, in many geotechnical programs, Geomechanics is not taught within the rigorous context of Continuum Mechanics. There is a good reason for that – the behavior of soils is very complex: it is more advantageous to explain it at a semi-empirical level, instead of scaring the students away with cumbersome mathematical models. However, when it comes to Numerical Modeling courses, these are often taught using commercially available finite elements (e.g. ABAQUS, PLAXIS) or finite differences (e.g. FLAC) software, which utilize constitutive relationships within the Continuous Mechanics framework. Quite often students have to learn the challenging subject of constitutive modeling from a program manual!
InhaltThis course is introductory - by no means does it claim any completeness and state of the art in such a dynamically developing field as constitutive and numerical modeling of soils. Our intention is to achieve a basic understanding of conventional continuum mechanics approaches to constitutive and numerical modeling, which can serve as a foundation for exploring more advanced theories. We focus on applications of the constitutive models within the available numerical codes. Important issue of derivation of model parameters from the lab tests has also received considerable attention.
SkriptHandout notes
Example worksheets
Literatur- Puzrin, A.M. (2012). Constitutive Modelling in Geomechanics: Introduction. Springer Verlag. Heidelberg, 312 p.
101-0378-00LSoil DynamicsW3 KP2GI. Anastasopoulos, A. Marin, T. M. Weber
KurzbeschreibungGrundlagen bodendynamischer Problemstellungen, Einführung in das geotechnische Erdbebeningenieurwesen, Lösen einfacher Probleme
LernzielVermittlung der Grundlagen, um bodendynamische Problemstellungen erkennen zu können, einfache Probleme selbständig zu lösen und bei komplexeren Aufgaben Spezialisten effizient beauftragen zu können.
InhaltGrundlagen der Dynamik und der Bodendynamik:
Unterschiede und Gemeinsamkeiten Bodenmechanik-Bodendynamik. Repetition der Grundlagen am Beispiel des Einmassenschwingers; Wellenausbreitung im elastischen Halbraum und im realen Boden. Einfluss der geologischen Schichtung, des Grundwassers etc. auf Wellenausbreitung.
Dynamische Bodenkennziffern (Deformation und Festigkeit):
Konstitutive Modellierung des Bodens, Bodenkennziffern für Sand, Kies, Ton, Fels. Bestimmung der Bodenkennziffern im Labor und Feld.
Erschütterungen:
Ausbreitungsprognose von Erschütterungen. Beurteilung von Erschütterungen bezüglich Gebäudeschäden und Belästigung des Menschen. Reduktion von Erschütterungen.
Geotechnische Erdbebenprobleme:
Grundbegriffe. Schäden infolge Erdbeben. Analyse der seismischen Gefährdung, Ermittlung von Bemessungsbeben. Einfluss der lokalen Geologie und Topographie auf die Bodenerschütterung. Grundlagen der Boden-Bauwerksinteraktion. Grundsätze der erdbebengerechten Dimensionierung von Fundationen, Stütz- und Erdbauwerken (Dämme). Bodenverflüssigung. Anwendung der SIA 261/267/269-8.
Probleme der Gebrauchstauglichkeit:
Bleibende Verformungen aufgrund wiederholter Belastung, Sackungen
SkriptBuch Studer, J.; Laue, J. & Koller, M.: Bodendynamik, Springer Verlag 2007

Ergänzt durch Aufsätze und Notizen die elektronisch zu Verfügung gestellt werden
LiteraturTowhata, I. (2008) Geotechnical Earthquake Engineering. Springer Verlag, Berlin

Kramer, S. L. (1996) Geotechnical earthquake engineering. Pearson Education India.
Voraussetzungen / BesonderesVoraussetzungen: Grundlagenwissen der Mechanik und der Geotechnik
101-0526-00LIntroduction to Visual Machine Perception for Architecture, Construction and Facility Management Information W3 KP2GI. Armeni
KurzbeschreibungThe course is an introduction to Visual Machine Perception technology, and specifically Computer Vision and Machine Learning, for Architecture, Construction, and Facility Management (ACFM). It will explore fundamentals in these Artificial Intelligence (AI) technologies in a tight reference to three applications in ACFM, namely architectural design, construction renovation, and facility management.
LernzielBy the end of the course students will develop computational thinking related to visual machine perception applications for the ACFM domain. Specifically, they will:

-Gain a fundamental understanding of how this technology works and the impact it can have in the ACFM industry by being exposed to example applications.
-Be able to identify limitations, pitfalls, and bottlenecks in these applications.
-Critically think on solutions for the above issues.
-Acquire hands-on experience in creatively thinking and designing an application given a base system.
-Use this course as a “stepping-stone” or entry-point to Machine Learning-intensive courses offered in D-BAUG and D-ARCH.
InhaltThe past few years a lot of discussion has been sparked on AI in the Architecture, Construction, and Facility Management (ACFM) industry. Despite advancements in this interdisciplinary field, we still have not answered fundamental questions about adopting and adapting AI technology for ACFM. In order to achieve this, we need to be equipped with rudimentary knowledge of how this technology works and what are essential points to consider when applying AI to this specific domain.

In addition, the availability of sensors that collect visual data in commodity hardware (e.g., mobile phone and tablet), is creating an even bigger pressure in identifying ways that new technology can be leveraged to increase efficiency and decrease risk in this trillion-dollar industry. However, cautious and well-thought steps need to be taken in the right direction, in order for such technologies to thrive in an industry that showcases inertia in technological adoption.

The course will unfold as two parallel storylines that intersect in multiple places:
1) The first storyline will introduce fundamentals in computer vision and machine learning technology, as building blocks that one should consider when developing related applications. These blocks will be discussed with respect to latest developments (e.g., deep neural networks), pointing out their impact in the final solution.

2) The second storyline consists of 3 ACFM processes, namely architectural design, construction renovation, and facility management. These processes will serve as application examples of the technological storyline.
In the points of connection students will see the importance of taking into account the application requirements when designing an AI system, as well as their impact on the building blocks. Guest speakers from both the AI and ACFM domains will complement the lectures.
Voraussetzungen / BesonderesThe course does not require any background in AI, Computer Science, coding, or the ACFM domain. It is designed for students of any background and knowledge on these topics. Despite being an introductory class, it will still engage advanced students in the aforementioned topics.
101-0185-01LCAD für Bauingenieure Belegung eingeschränkt - Details anzeigen
Maximale Teilnehmerzahl: 30 pro Kurs.

Es zählt der Zeitpunkt der Einschreibung.
W2 KP2GK.‑H. Hamel, F. Ortiz Quintana
KurzbeschreibungEinführung in das Arbeiten mit CAD-Software.
Anfertigung bautechnischer Zeichnungen in 2D und 3D.
LernzielNach Abschluss des Kurses können die Absolventen eine 2D-Konstruktion erstellen (Schalungsplan) und sie kennen das Prinzip eines Bewehrungsmoduls. Ferner haben sie eine Einführung in ein 3D-Programm enthalten (3D-Bewehren).
Sie sind somit besser vorbereitet auf
- die Bachelorarbeit im 6. Semester,
- ein allfälliges Praktikum zwischen Bachelor- und Masterstudium,
- die Projektarbeiten im Masterstudium,
- die Masterarbeit.
Ausserdem schulen sie das räumliche Vorstellungsvermögen und erwerben sich Orientierungswissen als spätere Vorgesetzte von Zeichnern und Konstrukteuren.
InhaltVermassung.
Erzeugung von Schnitten und Ansichten.
Anwendung des Bewehrungsmoduls.
Erstellung abgabefertiger Pläne.
SkriptAutographie
101-0691-00LTowards Efficient and High-Performance Computing for Engineers Belegung eingeschränkt - Details anzeigen W4 KP2GD. Kammer
KurzbeschreibungThis course is an introduction to various programming techniques and tools for the development of scientific simulations (using C++). It provides the practical and theoretical basis for high-performance computing (HPC) including data structure, testing, performance evaluation and parallelization. The course bridges the gap between introductory and advanced programming courses.
LernzielThis course provides an overview of programming techniques relevant for efficient and high-performance computing. It builds on introductory coding experience (e.g. matlab/python/java) and introduces the students to more advanced tools, specifically C++, external libraries, and supercomputers. The objective of this course is to introduce various approaches of good practice in developing your own code (for your research or engineering project) or using/modifying existing open-source programs. The course targets engineering students and seeks to provide a practical introduction towards performance-based computational simulation.
Inhalt1. code versioning and DevOps lifecycle
2. introduction to C++
3. structured programming
4. object-oriented programming
5. code testing
6. code performance (design, data structure, evaluating, using external libraries)
7. code parallelization
8. running simulations on supercomputers
SkriptWill be provided during the lecture via moodle.
LiteraturWill be provided during the lecture.
Voraussetzungen / BesonderesA good knowledge of MATLAB (or Python or java) is necessary for attending this course.
Projektbasierte Lehrveranstaltungen
NummerTitelTypECTSUmfangDozierende
101-0138-11LBridge Design: Project Competition Information Belegung eingeschränkt - Details anzeigen
Number of participants limited to 20.

All students get on waiting list. Final registration based on application letter (information given in first lecture). Priority will be given to students attending “Bridge Design (101-0138-00 G)” and in the primary target group (Major in Structural Engineering or Projektbasierte Lehrveranstaltungen).
W4 KP2SW. Kaufmann
KurzbeschreibungThis module offers the possibility to apply the fundamentals of the course Bridge Design in a conceptual design project. The scenario is set as a design competition: The students (group of two) will get a basic documentation (service criteria agreement, plans, digital terrain model, geotechnical report, photo documentation, etc.) and will develop a conceptual design suitable for the given site.
LernzielAt the end of the course, students will have developed a convincing bridge design that satisfies following criteria:
_ Consideration of governing boundary conditions and constraints.
_ Conception of an efficient structural system with an adequate aesthetic expression considering the environment.
_ Definition of the relevant actions and decisive load cases.
_ Proof of feasibility by dimensioning the main structural elements.
_ Schematic overview of construction processes.
_ Appropriate presentation and visualisation of the proposed bridge design.
InhaltThe module is built up as follows:
0. Presentation of problem statement / project. (1st week of semester)
1. Team registration (teams of two students).
2. Issue of documents.
3. Introduction to design tools & working methods.
4. Working on project (milestones):
... a. Define requirements and boundary conditions.
... b. Study of references and possible concepts
... c. Choice of best variant
... d. Structural modelling & calculations
... e. Plans & visualisation
5. Submission
Voraussetzungen / BesonderesIt is highly recommended to attend the course “Bridge Design (101-0138-00 G)” simultaneously.
101-0798-10LProjektbasierte forschungsbezogene ArbeitW11 KP24ABetreuer/innen
KurzbeschreibungBearbeitung eines forschungsbezogenen Themas als Vorbereitung für die Master-Arbeit.
LernzielSelbständiges, strukturiertes und wissenschaftliches Arbeiten fördern; typische ingenieurwissenschaftliche Arbeitsmethoden anwenden lernen; Fachwissen auf dem Gebiet der bearbeiteten Aufgabenstellung vertiefen.
InhaltDie Projektarbeit steht unter der Leitung eines Professors/einer Professorin. Die Absprache zum Inhalt der Arbeit erfolgt zwischen ihnen und den Studierenden.
101-0898-10LPraktische ProjektarbeitW11 KP24ABetreuer/innen
KurzbeschreibungBearbeitung eines Forschungs- oder Projektthemas in Form einer in sich geschlossenen Projektarbeit.
LernzielSelbständiges, strukturiertes und wissenschaftliches Arbeiten fördern; typische ingenieurwissenschaftliche Arbeitsmethoden anwenden lernen; Fachwissen auf dem Gebiet der bearbeiteten Aufgabenstellung vertiefen.
InhaltDie Projektarbeit steht unter der Leitung eines Professors/einer Professorin. Den Studierenden werden verschiedene Themen und Inhalte zur individuellen Auswahl angeboten.
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. Each specific class will include some theory about industrialized construction from a strategic and/or technological perspective. There will be several external guest lectures as well. During the last hour of the course, students will work in project teams to propose a framework for a new industrialized construction venture. The teams will need to determine their new company’s product offering, business model, technical platform, technology solutions, and supply chain strategy.

It is intended to hold a group excursion to a factory for a 1/2 day visit. However in 2021, this will be determined pending the status of COVID-19 restrictions. planned course activities include a 1/2 day factory visit Students who are unable to attend the visit can make up participation through independent research and the writing of a short paper.
LiteraturA full list of required readings will be made available to the students via Moodle.
101-0517-01LProject Management: Pre-Tender to Contract ExecutionW4 KP2GJ. J. Hoffman
KurzbeschreibungThis course (PM 2)will provide a comprehensive overview and understanding of the techniques, processes, tools and terminology to manage the Project Triangle (time, cost, quality) and to organize, analyze, control and report a complex project from Pre-Tender stage to Contract signature and Notice to Proceed. This course is part 2 of a 3 part course, see notice below.
LernzielUpon successful completion of this course students will have the understanding of the Project Management duties and responsibilities from the Pre-Tender stage of a project to Contract Execution.
Inhalt- Project scope definition and project organization
- Technical specification proposals
- Work Breakdown Structure
- Estimating
- Schedule development
- Interface management
- Resource and cost integration
- Risk and opportunity identification and quantification
- Contract review and analysis
- Project life cycle
- Contract Execution - Project Manager Check List
SkriptThe slides will either be distributed at the beginning of the class, or made available online (via Moodle) prior to class. A copy of the appropriate chapter of the script, the assignment and any other assigned reading materials will be available via Moodle.
LiteraturAppropriate reading material (e.g., chapters out of certain textbooks or trade articles) will be assigned when necessary and made available via Moodle.
Voraussetzungen / BesonderesThis is part 2 of a 3 part course. Part 1 will give the student an introduction to general tools in project management. Part 3 will take the student through Project Execution of the Project.

The students will be randomly assigned to teams of 6 max. Students will be graded as a team based on the final Project report and the in-class oral presentation of the Project Proposal as well as a final exam (50% exam and 50% project report and presentation). Homework will not be graded but your final report and presentation will consist mostly of your homework assignments consolidated and put in a report and presentation format.
101-0521-10LMachine Learning for Predictive Maintenance Applications Belegung eingeschränkt - Details anzeigen
The number of participants in the course is limited to 25 students.

Students interested in attending the lecture are requested to upload their transcript and a short motivation responding the following two questions (max. 200 words):
-How does this course fit to the other courses you have attended so far?
-How does the course support you in achieving your goal?
The following link can be used to upload the documents.
Link
W8 KP4GO. Fink
KurzbeschreibungThe course aims at developing machine learning algorithms that are able to use condition monitoring data efficiently and detect occurring faults in complex industrial assets, isolate their root cause and ultimately predict the remaining useful lifetime.
LernzielStudents will
- be able to understand the main challenges faced by predictive maintenance systems
- learn to extract relevant features from condition monitoring data
-learn to select appropriate machine learning algorithms for fault detection, diagnostics and prognostics
-learn to define the learning problem in way that allows its solution based on existing constrains such as lack of fault samples.
- learn to design end-to-end machine learning algorithms for fault detection and diagnostics
-be able to evaluate the performance of the applied algorithms.

At the end of the course, the students will be able to design data-driven predictive maintenance applications for complex engineered systems from raw condition monitoring data.
InhaltEarly and reliable detection, isolation and prediction of faulty system conditions enables the operators to take recovery actions to prevent critical system failures and ensure a high level of availability and safety. This is particularly crucial for complex systems such as infrastructures, power plants and aircraft engines. Therefore, their system condition is increasingly tightly monitored by a large number of diverse condition monitoring sensors. With the increased availability of data on system condition on the one hand, and the increased complexity of explicit system physics-based models on the other hand, the application of data-driven approaches for predictive maintenance has been recently increasing.
This course provides insights and hands-on experience in selecting, designing, optimizing and evaluating machine learning algorithms to tackle the challenges faced by maintenance systems of complex engineered systems.

Specific topics include:

-Introduction to condition monitoring and predictive maintenance systems
-Feature extraction and selection methodology
-Machine learning algorithms for fault detection and fault isolation
-End-to-end learning architectures (including feature learning) for fault detection and fault isolation
-Unsupervised and semi-supervised learning algorithms for predictive maintenance
-Machine learning algorithms for prediction of the remaining useful life
-Performance evaluation
-Predictive maintenance systems at fleet level
-Domain adaptation for fault diagnostics
-Introduction to decision support systems for maintenance applications
SkriptSlides and other materials will be available online.
LiteraturRelevant scientific papers will be discussed in the course.
Voraussetzungen / BesonderesStrong analytical skills.
Programming skills in python are strongly recommended.
101-0278-00LHochwasserschutzW3 KP2GR. Boes, J. Eberli
KurzbeschreibungKonzepte und bauliche Massnahmen zur Verhinderung bzw. Verminderung von Hochwasserschäden sowie erfolgversprechende Methoden zur Umsetzung einer ganzheitlichen Planung in der Praxis.
LernzielKennenlernen der Prozesse, die zu Hochwasserschäden führen, der verschiedenen Konzepte und baulichen Massnahmen, mit denen sie verhindert bzw. vermindert werden können sowie erfolgversprechende Methoden zur Umsetzung der Planung in der Praxis. Integrales Risikomanagement.
InhaltErläuterung der massgebenden Prozesse: Überflutung, Auflandung, Übersarung, Seiten- und Tiefenerosion, Murgänge.
Konzept der differenzierten Schutzziele für verschiedene Landnutzungen (von Naturland bis Industriegebiet).
Grundsätzliche Möglichkeiten des Hochwasserschutzes.
Raumplanung auf der Basis von Gefahrenzonen.
Klassische Massnahmen gegen Hochwasserschäden an Beispielen (Kapazitätserhöhung, Entlastungsbauwerke, Rückhaltbecken, Flutmulden, Polder).
Objektschutz als weiterführende Massnahme.
Unterhalt.
Betrachtung des Überlastfalls, Notfallmassnahmen.
Schadenbestimmung und Risikoabschätzung.
Umgang mit dem verbleibenden Risiko.
Zielkonflikte bei der Umsetzung der Massnahmen.
Angepasste Vorgehensweise.
Bearbeiten von Fallstudien in der Gruppe.
Exkursion.
SkriptHochwasserschutz-Skript
LiteraturRichtlinien und Wegleitungen der zuständigen Schweizer Bundesämter (insbesondere Bundesamt für Umwelt, BAFU)
101-0526-00LIntroduction to Visual Machine Perception for Architecture, Construction and Facility Management Information W3 KP2GI. Armeni
KurzbeschreibungThe course is an introduction to Visual Machine Perception technology, and specifically Computer Vision and Machine Learning, for Architecture, Construction, and Facility Management (ACFM). It will explore fundamentals in these Artificial Intelligence (AI) technologies in a tight reference to three applications in ACFM, namely architectural design, construction renovation, and facility management.
LernzielBy the end of the course students will develop computational thinking related to visual machine perception applications for the ACFM domain. Specifically, they will:

-Gain a fundamental understanding of how this technology works and the impact it can have in the ACFM industry by being exposed to example applications.
-Be able to identify limitations, pitfalls, and bottlenecks in these applications.
-Critically think on solutions for the above issues.
-Acquire hands-on experience in creatively thinking and designing an application given a base system.
-Use this course as a “stepping-stone” or entry-point to Machine Learning-intensive courses offered in D-BAUG and D-ARCH.
InhaltThe past few years a lot of discussion has been sparked on AI in the Architecture, Construction, and Facility Management (ACFM) industry. Despite advancements in this interdisciplinary field, we still have not answered fundamental questions about adopting and adapting AI technology for ACFM. In order to achieve this, we need to be equipped with rudimentary knowledge of how this technology works and what are essential points to consider when applying AI to this specific domain.

In addition, the availability of sensors that collect visual data in commodity hardware (e.g., mobile phone and tablet), is creating an even bigger pressure in identifying ways that new technology can be leveraged to increase efficiency and decrease risk in this trillion-dollar industry. However, cautious and well-thought steps need to be taken in the right direction, in order for such technologies to thrive in an industry that showcases inertia in technological adoption.

The course will unfold as two parallel storylines that intersect in multiple places:
1) The first storyline will introduce fundamentals in computer vision and machine learning technology, as building blocks that one should consider when developing related applications. These blocks will be discussed with respect to latest developments (e.g., deep neural networks), pointing out their impact in the final solution.

2) The second storyline consists of 3 ACFM processes, namely architectural design, construction renovation, and facility management. These processes will serve as application examples of the technological storyline.
In the points of connection students will see the importance of taking into account the application requirements when designing an AI system, as well as their impact on the building blocks. Guest speakers from both the AI and ACFM domains will complement the lectures.
Voraussetzungen / BesonderesThe course does not require any background in AI, Computer Science, coding, or the ACFM domain. It is designed for students of any background and knowledge on these topics. Despite being an introductory class, it will still engage advanced students in the aforementioned topics.
101-0194-10LSeismic Design and Evaluation of BridgesW2 KP2GA. Tsiavos
KurzbeschreibungThe aim of this course is to provide the fundamental knowledge on the seismic design and evaluation of bridges in Switzerland and worldwide. The course focuses on the practical application of this knowledge through the seismic design and evaluation of real bridges located in Switzerland.
LernzielThe existing bridge inventory in Switzerland consists of about 3340 bridges, facilitating the continuous function of the national highway transportation network. Furthermore, a large number of new bridges are under construction in Switzerland. These bridges serve as intermediate links, connecting different communities and enabling the accessibility of different infrastructure components. Within this frame, the seismic protection of new and existing bridges is critical for the maintenance of the functionality of our communities and their ability to recover after a strong earthquake event. Along these lines, this course aims to provide knowledge of the latest code provisions and analysis methods for the seismic design and evaluation of bridges in Switzerland and worldwide. This knowledge will be provided through a combination of theoretical background with practical case study examples. The students will work on a project related to the presented case studies, thus obtaining hands-on experience in the seismic evaluation and seismic retrofitting of existing bridges located in Switzerland.
InhaltLecture unit 1:
1. Introduction: bridges in low and moderate seismic hazard regions
2. Common seismic deficiencies of typical bridges

Lecture unit 2:
3. Dynamic modelling of bridge systems
4. Dynamic modelling of bridge components (e.g. columns, bearings,
joints, abutments, reinforcement splices, foundations, piles)

Lecture unit 3:
5. Nonlinear static analysis
6. Nonlinear dynamic analysis

Lecture unit 4:
7. Swiss code: seismic design
8. Swiss code: seismic evaluation

Lecture unit 5:
9. Swiss example: seismic design issues
10. Swiss example: seismic evaluation

Lecture unit 6
11. Seismic evaluation and retrofitting of bridges: EU perspective (low and moderate seismic hazard regions)
12. Seismic evaluation and retrofitting of bridges: US perspective (low and moderate seismic hazard regions)

Lecture unit 7:
13. Project presentations
14. Course summary
Voraussetzungen / BesonderesBridge Design (101-0138-00L) and Seismic Design of Structures I (101-0188-00L) or equivalent, taken previously or being attended in parallel with this course.
101-0378-00LSoil DynamicsW3 KP2GI. Anastasopoulos, A. Marin, T. M. Weber
KurzbeschreibungGrundlagen bodendynamischer Problemstellungen, Einführung in das geotechnische Erdbebeningenieurwesen, Lösen einfacher Probleme
LernzielVermittlung der Grundlagen, um bodendynamische Problemstellungen erkennen zu können, einfache Probleme selbständig zu lösen und bei komplexeren Aufgaben Spezialisten effizient beauftragen zu können.
InhaltGrundlagen der Dynamik und der Bodendynamik:
Unterschiede und Gemeinsamkeiten Bodenmechanik-Bodendynamik. Repetition der Grundlagen am Beispiel des Einmassenschwingers; Wellenausbreitung im elastischen Halbraum und im realen Boden. Einfluss der geologischen Schichtung, des Grundwassers etc. auf Wellenausbreitung.
Dynamische Bodenkennziffern (Deformation und Festigkeit):
Konstitutive Modellierung des Bodens, Bodenkennziffern für Sand, Kies, Ton, Fels. Bestimmung der Bodenkennziffern im Labor und Feld.
Erschütterungen:
Ausbreitungsprognose von Erschütterungen. Beurteilung von Erschütterungen bezüglich Gebäudeschäden und Belästigung des Menschen. Reduktion von Erschütterungen.
Geotechnische Erdbebenprobleme:
Grundbegriffe. Schäden infolge Erdbeben. Analyse der seismischen Gefährdung, Ermittlung von Bemessungsbeben. Einfluss der lokalen Geologie und Topographie auf die Bodenerschütterung. Grundlagen der Boden-Bauwerksinteraktion. Grundsätze der erdbebengerechten Dimensionierung von Fundationen, Stütz- und Erdbauwerken (Dämme). Bodenverflüssigung. Anwendung der SIA 261/267/269-8.
Probleme der Gebrauchstauglichkeit:
Bleibende Verformungen aufgrund wiederholter Belastung, Sackungen
SkriptBuch Studer, J.; Laue, J. & Koller, M.: Bodendynamik, Springer Verlag 2007

Ergänzt durch Aufsätze und Notizen die elektronisch zu Verfügung gestellt werden
LiteraturTowhata, I. (2008) Geotechnical Earthquake Engineering. Springer Verlag, Berlin

Kramer, S. L. (1996) Geotechnical earthquake engineering. Pearson Education India.
Voraussetzungen / BesonderesVoraussetzungen: Grundlagenwissen der Mechanik und der Geotechnik
101-0194-00LSeismic Evaluation and Retrofitting of Existing BuildingsW2 KP1GA. Tsiavos
KurzbeschreibungThe aim of this course is to present the state of the art of the current procedures for seismic evaluation and retrofitting of existing buildings in Switzerland (Norm SIA 269/8) and worldwide. Emphasis will be given on the practical application of these procedures in real buildings located in Switzerland, through case studies presented by experts in the field.
LernzielA large percentage of the existing building inventory worldwide has been constructed before the introduction of the current seismic code provisions. The seismic deficiencies observed in many of these structures are a direct outcome of their non-compliance with these provisions and the established engineering practices in seismic design. Moreover, the unavoidable material deterioration in these structures could further inhibit their seismic performance. Therefore, the knowledge of the current procedures and common practices for the seismic evaluation and retrofitting of buildings is of paramount importance. This course presents an overview of these procedures through a wide spectrum of applied case studies in Switzerland and worldwide. The students will work on a project related to the presented case studies, thus obtaining deep understanding on the application of these procedures and a feeling on how to engineer practical retrofitting strategies towards the seismic upgrading of existing buildings.
Inhalt1. Introduction to seismic hazard and seismic performance objectives.
2. Common structural deficiencies and observed damage patterns in buildings due to strong earthquake ground motion excitation.
3. Seismic evaluation of buildings in Switzerland using Norm SIA 269/8: Presentation of the code in steps and discussion of the critical issues.
4. Seismic retrofitting of buildings in Switzerland using Norm SIA 269/8: Presentation of the code in steps and discussion of the critical issues.
5. Application of seismic evaluation using SIA 269/8 on an existing building in Switzerland.
6. Application of seismic retrofitting using SIA 269/8 on an existing building in Switzerland.
7. Seismic evaluation methodologies worldwide: State of the art. Presentation of illustrative examples.
8. Introduction to Yield Point Spectra and the Constant Yield Displacement Evaluation (CYDE) method.
9. Seismic retrofitting strategies worldwide: State of the art. Presentation of illustrative examples.
Voraussetzungen / BesonderesThe attendance of the course Existing Structures (Erhaltung von Tragwerken-101-0129-00L) and the participation in the course Seismic Design of Structures I (101-0188-00L) in parallel with this course are highly recommended.
Master-Arbeit
NummerTitelTypECTSUmfangDozierende
101-0010-10LMaster-Arbeit Belegung eingeschränkt - Details anzeigen
Nur für Bauingenieurwissenschaften MSc, Studienreglement 2020.

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.
O20 KP43DBetreuer/innen
KurzbeschreibungDie Master-Arbeit bildet den Abschluss des Master-Studiums und ist in einer der gewählten Vertiefungen zu verfassen. Die Bearbeitungsdauer beträgt 18 Wochen. Sie steht unter der Leitung eines Professors/einer Professorin und soll die Fähigkeiten des/der Studierenden, selbständig, strukturiert und wissenschaftlich zu arbeiten, unter Beweis stellen.
LernzielSelbständig, strukturiert und wissenschaftlich zu arbeiten.
InhaltThemen und Aufgabenstellungen werden von den Professoren/Professorinnen ausgeschrieben. Ein Thema kann auch aufgrund einer Absprache zwischen dem/der Studierenden und dem Professor/der Professorin festgelegt werden.
Master-Studium (Studienreglement 2006)
Projektarbeiten
NummerTitelTypECTSUmfangDozierende
101-0198-01LProjektarbeit in Konstruktion Belegung eingeschränkt - Details anzeigen
Nur für Bauingenieurwissenschaften MSc, Studienreglement 2006.
W9 KP19ABetreuer/innen
KurzbeschreibungBearbeitung einer konkreten Aufgabenstellung aus der Konstruktion
LernzielSelbständiges, strukturiertes und wissenschaftliches Arbeiten fördern; typische ingenieurwissenschaftliche Arbeitsmethoden anwenden lernen; Fachwissen auf dem Gebiet der bearbeiteten Aufgabenstellung vertiefen.
InhaltDie Projektarbeit steht unter der Leitung eines Professors/einer Professorin. Den Studierenden werden verschiedene Themen und Inhalte zur individuellen Auswahl angeboten.
101-0298-01LProjektarbeit in Wasserbau und Wasserwirtschaft Belegung eingeschränkt - Details anzeigen
Nur für Bauingenieurwissenschaften MSc, Studienreglement 2006.
W9 KP19ABetreuer/innen
KurzbeschreibungBearbeitung einer konkreten Aufgabenstellung aus dem Wasserbau und der Wasserwirtschaft
LernzielSelbständiges, strukturiertes und wissenschaftliches Arbeiten fördern; typische ingenieurwissenschaftliche Arbeitsmethoden anwenden lernen; Fachwissen auf dem Gebiet der bearbeiteten Aufgabenstellung vertiefen.
InhaltDie Projektarbeit steht unter der Leitung eines Professors/einer Professorin. Den Studierenden werden verschiedene Themen und Inhalte zur individuellen Auswahl angeboten.
101-0398-01LProjektarbeit in Geotechnik Belegung eingeschränkt - Details anzeigen
Nur für Bauingenieurwissenschaften MSc, Studienreglement 2006.
W9 KP19ABetreuer/innen
KurzbeschreibungBearbeitung einer konkreten Aufgabenstellung aus der Geotechnik.
LernzielSelbständiges, strukturiertes und wissenschaftliches Arbeiten fördern; typische ingenieurwissenschaftliche Arbeitsmethoden anwenden lernen; Fachwissen auf dem Gebiet der bearbeiteten Aufgabenstellung vertiefen.
InhaltDie Projektarbeit steht unter der Leitung eines Professors/einer Professorin. Den Studierenden werden verschiedene Themen und Inhalte zur individuellen Auswahl angeboten.
101-0498-01LProjektarbeit in Verkehrssysteme Belegung eingeschränkt - Details anzeigen
Nur für Bauingenieurwissenschaften MSc, Studienreglement 2006.
W9 KP19ABetreuer/innen
KurzbeschreibungBearbeitung einer konkreten Aufgabenstellung aus dem Bereich Transportsysteme
LernzielSelbständiges, strukturiertes und wissenschaftliches Arbeiten fördern; typische ingenieurwissenschaftliche Arbeitsmethoden anwenden lernen; Fachwissen auf dem Gebiet der bearbeiteten Aufgabenstellung vertiefen.
InhaltDie Projektarbeit steht unter der Leitung eines Professors/einer Professorin. Den Studierenden werden verschiedene Themen und Inhalte zur individuellen Auswahl angeboten.
101-0598-01LProjektarbeit in Bau- und Erhaltungsmanagement Belegung eingeschränkt - Details anzeigen
Nur für Bauingenieurwissenschaften MSc, Studienreglement 2006.
W9 KP19ABetreuer/innen
KurzbeschreibungBearbeitung einer konkreten Aufgabenstellung aus dem Bereich Bauplanung und Baubetrieb
LernzielSelbständiges, strukturiertes und wissenschaftliches Arbeiten fördern; typische ingenieurwissenschaftliche Arbeitsmethoden anwenden lernen; Fachwissen auf dem Gebiet der bearbeiteten Aufgabenstellung vertiefen.
InhaltDie Projektarbeit steht unter der Leitung eines Professors/einer Professorin. Den Studierenden werden verschiedene Themen und Inhalte zur individuellen Auswahl angeboten.
101-0698-01LProjektarbeit in Werkstoffe und Mechanik Belegung eingeschränkt - Details anzeigen
Nur für Bauingenieurwissenschaften MSc, Studienreglement 2006.
W9 KP19ABetreuer/innen
KurzbeschreibungBearbeitung einer konkreten Aufgabenstellung aus den Bereichen Werkstoffe und Mechanik
LernzielSelbständiges, strukturiertes und wissenschaftliches Arbeiten fördern; typische ingenieurwissenschaftliche Arbeitsmethoden anwenden lernen; Fachwissen auf dem Gebiet der bearbeiteten Aufgabenstellung vertiefen.
InhaltDie Projektarbeit steht unter der Leitung eines Professors/einer Professorin. Den Studierenden werden verschiedene Themen und Inhalte zur individuellen Auswahl angeboten.
Master-Arbeit
NummerTitelTypECTSUmfangDozierende
101-0010-00LMaster-Arbeit Belegung eingeschränkt - Details anzeigen
Nur für Bauingenieurwissenschaften MSc, Studienreglement 2006.

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.
O24 KP51DBetreuer/innen
KurzbeschreibungDie Master-Arbeit bildet den Abschluss des Master-Studiums. Sie ist in einer der gewählten Vertiefungen zu verfassen und dauert 16 Wochen. Sie steht unter der Leitung eines Professors/einer Professorin und soll die Fähigkeiten des/der Studierenden, selbständig, strukturiert und wissenschaftlich zu arbeiten, unter Beweis stellen.
LernzielSelbständig, strukturiert und wissenschaftlich zu arbeiten.
InhaltThemen und Aufgabenstellungen werden von den Professoren/Professorinnen ausgeschrieben. Ein Thema kann auch aufgrund einer Absprache zwischen dem/der Studierenden und dem Professor/der Professorin festgelegt werden.
Wahlfächer
Den Studierenden steht das gesamte Lehrangebot der ETH Zürich und der Universität Zürich zur individuellen Auswahl offen.
Empfohlene Wahlfächer des Studiengangs
NummerTitelTypECTSUmfangDozierende
101-0185-01LCAD für Bauingenieure Belegung eingeschränkt - Details anzeigen
Maximale Teilnehmerzahl: 30 pro Kurs.

Es zählt der Zeitpunkt der Einschreibung.
W+2 KP2GK.‑H. Hamel, F. Ortiz Quintana
KurzbeschreibungEinführung in das Arbeiten mit CAD-Software.
Anfertigung bautechnischer Zeichnungen in 2D und 3D.
LernzielNach Abschluss des Kurses können die Absolventen eine 2D-Konstruktion erstellen (Schalungsplan) und sie kennen das Prinzip eines Bewehrungsmoduls. Ferner haben sie eine Einführung in ein 3D-Programm enthalten (3D-Bewehren).
Sie sind somit besser vorbereitet auf
- die Bachelorarbeit im 6. Semester,
- ein allfälliges Praktikum zwischen Bachelor- und Masterstudium,
- die Projektarbeiten im Masterstudium,
- die Masterarbeit.
Ausserdem schulen sie das räumliche Vorstellungsvermögen und erwerben sich Orientierungswissen als spätere Vorgesetzte von Zeichnern und Konstrukteuren.
InhaltVermassung.
Erzeugung von Schnitten und Ansichten.
Anwendung des Bewehrungsmoduls.
Erstellung abgabefertiger Pläne.
SkriptAutographie
052-0708-00LUrban Design IV Information W2 KP2VH. Klumpner, M. Fessel
KurzbeschreibungStudents are introduced to a narrative of 'Urban Stories' through a series of three tools driven by social, governance, and environmental transformations in today's urbanization processes. Each lecture explores one city's spatial and organizational ingenuity born out of a particular place's realities, allowing students to transfer these inventions into a catalog of conceptual tools.
LernzielHow can students of architecture become active agents of change? What does it take to go beyond a building's scale, making design-relevant decisions to the city rather than a single client? How can we design in cities with a lack of land, tax base, risk, and resilience, understanding that Zurich is the exception and these other cities are the rule? How can we discover, set rather than follow trends and understand existing urban phenomena activating them in a design process? The lecture series produces a growing catalog of operational urban tools across the globe, considering Governance, Social, and Environmental realities. Instead of limited binary comparing of cities, we are building a catalog of change, analyzing what design solutions cities have been developing informally incrementally over time, why, and how. We look at the people, institutions, culture behind the design and make concepts behind these tools visible. Students get first-hand information from cities where the chair as a Team has researched, worked, or constructed projects over the last year, allowing competent, practical insight about the people and topics that make these places unique. Students will be able to use and expand an alternative repertoire of experiences and evidence-based design tools, go to the conceptual core of them, and understand how and to what extent they can be relevant in other places. Urban Stories is the basic practice of architecture and urban design. It introduces a repertoire of urban design instruments to the students to use, test, and start their designs.
InhaltUrban form cannot be reduced to physical space. Cities result from social construction, under the influence of technologies, ecology, culture, the impact of experts, and accidents. Urban un-concluded processes respond to political interests, economic pressure, cultural inclinations, along with the imagination of architects and urbanists and the informal powers at work in complex adaptive systems. Current urban phenomena are the result of urban evolution. The facts stored in urban environments include contributions from its entire lifecycle, visible in the physical environment, but also for non-physical aspects. This imaginary city exists along with its potentials and problems and with the conflicts that have evolved. Knowledge and understanding, and critical observation of the actions and policies are necessary to understand the diversity and instability present in the contemporary city and understand how urban form evolved to its current state.

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

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

The Tool case studies are compiled into a global urbanization toolbox, which we use as typological models to read the city and critically reflect upon it. The presented contents are meant to serve as inspiration for positioning in future professional life and provide instruments for future design decisions.

In an interview with a local designer, we measure our insights against the most pressing design topics in cities today, including inclusion, affordable housing, provision of public spaces, and infrastructure for all.
SkriptThe learning material, available via Link is comprised of:
- Toolbox 'Reader' with an 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
- Interviews with experts
- Archive of lecture recordings
Literatur- Reading material will be provided throughout the semester.
- Please see ‘Skript’, (a digital reader is available).
Voraussetzungen / Besonderes"Semesterkurs" (semester course) students from other departments, students taking this lecture as GESS / Studium Generale course, and exchange students must submit a research paper, which will be subject to the performance assessment: "Bestanden" (pass) or "Nicht bestanden" (failed). The performance assessment type for "Urban Design III: Urban Stories" taken as a semester course is categorized as "unbenotete Semesterleistung" (ungraded semester performance).
066-0422-00LBuilding Systems II Information Belegung eingeschränkt - Details anzeigen
Successful completion of 066-0421-00L Building Systems I is a prerequisite.
MIBS: This course must be taken in the first year of coursework.
W3 KP3GA. Schlüter, L. Baldini, I. Hischier, F. Khayatian, 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
151-9904-00LApplied Compositional Thinking for Engineers Information W4 KP3GE. Frazzoli, A. Censi, J. Lorand
KurzbeschreibungThis course is an introduction to applied category theory specifically targeted at persons with an engineering background. We focus on the benefits of applied category theory for thinking explicitly about abstraction and compositionality. The course will favor a computational/constructive approach, with concrete exercises in the Python.
LernzielIn many domains of engineering it would be beneficial to think explicitly about abstraction and compositionality, to improve both the understanding of the problem and the design of the solution. However, the problem is that the type of math which could be useful to engineers is not traditionally taught.

Applied category theory could help a lot, but it is quite unreachable by the average engineer. Recently many good options appeared for learning applied category theory; but none satisfy the two properties of 1) being approachable; and 2) highlighting how applied category theory can be used to formalize and solve concrete problems of interest to engineers.

This course will fill this gap. This course's goal is not to teach category theory for the sake of it. Rather, we want to teach the "compositionality way of thinking" to engineers; category theory will be just the means towards it. This implies that the presentation of materials sometimes diverges from the usual way to teach category theory; and some common concepts might be de-emphasized in favor of more obscure concepts that are more useful to an engineer.

The course will favor a computational/constructive approach: each concept is accompanied by concrete exercises in the programming language Python.
Throughout the course, we will discuss many examples related to autonomous robotics, because it is at the intersection of many branches of engineering: we can talk about hardware (sensing, actuation, communication) and software (perception, planning, learning, control) and their composition.
Inhalt## Intended learning outcomes

# Algebraic structures

The student is able to recognize algebraic structure for a familiar engineering domain. In particular we will recall
the following structures: monoid, groups, posets, monoidal posets, graphs.

The student is able to translate such algebraic structure in a concrete implementation using the Python language for the purpose of solving a computational problem.

# Categories and morphisms

The student is able to recognize categorical structure for a familiar engineering domain, understand the notion of object, morphism, homsets, and the properties of associativity and unitality.

The student is able to quickly spot non-categories (formalizations in which one of the axioms fails, possibly in a subtle way) and is informed that there exist possible generalizations (not studied in the course).

The student is able to translate a categorical structure into a concrete implementation using the Python language.

The student is able to recognize the categorical structure in the basic algebraic structures previously considered.

The student is able to use string diagrams to represent morphisms; and to write a Python program to draw such a representation.

# Products, coproducts, universality

# Recognizing and using additional structure

The student is able to spot the presence of the following structures: Monoidal structure, Feedback structure (Trace),
Locally posetal/lattice structure , Dagger/involutive structure.

# Functorial structure.

The student is able to recognize functorial structures in a familiar engineering domain.

The student can understand when there is a functorial structure between instances of a problem and solutions of the problem, and use such structure to write programs that use these compositionality structures to achieve either more elegance or efficiency (or both).

# The ladder of abstractions

The student is able to think about scenarios in which one can climb the ladder of abstractions. For example, the morphisms in a category can be considered objects in another category.

# Compact closed structure.

# Co-design

The student knows co-design theory (boolean profunctors + extensions) and how to use it to formalize design problems in their area of expertise.

The student knows how to use the basics of the MCPD language and use it to solve co-design problems.

# Rosetta stone

The student understands explicitly the connection between logic and category theory and can translate concepts back and forth.

The student understands explicitly the constructive nature of the presentation of category theory given so far.

The student is able to understand what is an "equational theory" and how to use it concretely.

The student understands the notion of substructural logics; the notion of polycategories; and linear logic. Mention of *-autonomous categories.

The student can translate the above in an implementation.

# Monadic structure

The student is able to recognize a monadic structure in the problem.

# Operads and operad-like structures.
SkriptSlides and notes will be provided.
LiteraturB. Fong, D.I. Spivak, Seven Sketches in Compositionality: An Invitation to Applied Category Theory (Link)

A. Censi, D. I. Spivak, J. Tan, G. Zardini, Mathematical Foundations of Engineering Co-Design (Own manuscript, to be published)
Voraussetzungen / BesonderesAlgebra: at the level of a bachelor’s degree in engineering.

Analysis: ODEs, dynamical systems.

Familiarity with basic physics, electrical engineering, mechanical engineering, mechatronics concepts (at the level of bachelor's degree in engineering).

Basics of Python programming.
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