Bryan T. Adey: Katalogdaten im Herbstsemester 2024 |
| Name | Herr Prof. Dr. Bryan T. Adey |
| Lehrgebiet | Infrastrukturmanagement |
| Adresse | Inst. Bau-&Infrastrukturmanagement ETH Zürich, HIL F 24.3 Stefano-Franscini-Platz 5 8093 Zürich SWITZERLAND |
| Telefon | +41 44 633 27 38 |
| adey@ibi.baug.ethz.ch | |
| Departement | Bau, Umwelt und Geomatik |
| Beziehung | Ordentlicher Professor |
| Nummer | Titel | ECTS | Umfang | Dozierende | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 101-0031-AAL | Systems Engineering Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle andere Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | 3 KP | 9R | B. T. Adey | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | • Systems Engineering is a way of thinking that helps engineer sustainable systems, i.e. ones that meet the needs of stakeholders in the short, medium and long terms. • This course provides an overview of the main principles of Systems Engineering, and includes an introduction to the use of operations research methods in the determination of optimal systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The world’s growing population, changing demographics, and changing climate pose formidable challenges to humanity’s ability to live sustainably. Ensuring that humanity can live sustainably requires accommodating Earth’s growing and changing population through the provision and operation of a sustainable and resilient built environment. This requires ensuring excellent decision-making as to how the built environment is constructed and modified. The objective of this course is to ensure the best possible decision making when engineering sustainable systems, i.e. ones that meet the needs of stakeholders in the short, medium and long term. In this course, you will learn the main principles of Systems Engineering that can help you from the first idea that a system may not meet expectations, to the quantitative and qualitative evaluation of possible system modifications. Additionally, the course includes an introduction to the use of operations research methods in the determination of optimal solutions in complex systems. More specifically upon completion of the course, you will have gained insight into: • how to structure the large amount of information that is often associated with attempting to modify complex systems • how to set goals and define constraints in the engineering of complex systems • how to generate possible solutions to complex problems in ways that limit exceedingly narrow thinking • how to compare multiple possible solutions over time with differences in the temporal distribution of costs and benefits and uncertainty as to what might happen in the future • how to assess values of benefits to stakeholders that are not in monetary units • how to assess whether it is worth obtaining more information in determining optimal solution • how to take a step back from the numbers and qualitatively evaluate the possible solutions in light of the bigger picture • the basics of operations research and how it can be used to determine optimal solutions to complex problems, including linear, integer and network programming, dealing with multiple objectives and conducting sensitivity analyses. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | This is a self-study course, there are no lectures or help sessions. A Moodle page with the relevant literature, study materials, and course information is provided. For questions regarding course content or administration, students may approach the lecturers/teaching assistants. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | The script for the original course is in German. The English material that can be used for the self-study course is: 2 Books (provided as PDFs): • Blanchard, B.S., and Fabrycky W.J., (2008), Systems Engineering and Analysis, 5th International Edition, Prentice Hall, Chapters 1-7 • Revelle, C.S., Whitlach, E.E., and Wright, J.R., (2003), Civil and Environmental Systems Engineering, 2nd Edition, Prentice Hall, Chapters 2-5, 9, 12, 13 2 exams from previous semesters (2017 and 2021) for practice, with solutions provided. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Kompetenzen |
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| 101-0031-10L | Systems Engineering | 3 KP | 2G | B. T. Adey | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | • Systems Engineering ist eine Denkweise, die dabei hilft, nachhaltige Systeme zu entwickeln, d. h. solche, die kurz-, mittel- und langfristig die Bedürfnisse der Akteur:innen erfüllen. • Diese Lehrveranstaltung bietet einen Überblick über die wichtigsten Prinzipien des Systems Engineering und eine Einführung in die Anwendung von Optimierungs-Methoden bei der Ermittlung optimaler Systeme. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Die wachsende Weltbevölkerung, der demografische Wandel und das sich verändernde Klima stellen die Menschheit vor grosse Herausforderungen, nachhaltig leben zu können. Um sicherzustellen, dass die Menschheit nachhaltig leben kann, ist es erforderlich, die wachsende und sich verändernde Bevölkerung der Erde durch die Bereitstellung und den Betrieb einer nachhaltigen und widerstandsfähigen bebauten Umwelt zu versorgen. Dies erfordert eine ausgezeichnete Entscheidungsfindung, wie die gebaute Umwelt errichtet und verändert wird. Das Ziel dieser Vorlesung ist es, die bestmögliche Entscheidungsfindung beim Entwickeln nachhaltiger Systeme zu gewährleisten, d. h. solche, die kurz-, mittel- und langfristig die Bedürfnisse der Akteur:innen erfüllen. In dieser Vorlesung lernen Sie die wichtigsten Prinzipien des Systems Engineering kennen. Diese können Ihnen von der ersten Idee, dass ein System möglicherweise nicht den Erwartungen genügt, bis hin zur quantitativen und qualitativen Bewertung möglicher Systemänderungen helfen. Zusätzlich beinhaltet die Vorlesung eine Einführung in die Anwendung von Optimierungs-Methoden bei der Ermittlung von optimalen Lösungen in komplexen Systemen. Genauer gesagt, werden Sie nach Abschluss der Lehrveranstaltung einen Einblick gewonnen haben in: • wie man die grosse Menge an Informationen strukturiert, die oft mit dem Versuch verbunden ist, komplexe Systeme zu verändern • wie man bei der Entwicklung komplexer Systeme Ziele setzt und Randbedingungen definiert • wie man mögliche Lösungen für komplexe Probleme auf eine Weise generiert, die ein zu enges Denken limitiert • wie man mehrere mögliche Lösungen über Zeiträume vergleicht, mit Unterschieden in der zeitlichen Verteilung von Kosten und Nutzen und Ungewissheit über das, was in der Zukunft passieren könnte • wie man den Wert des Nutzens für die Beteiligten bewertet, der nicht in Geldeinheiten ausgedrückt wird • wie man beurteilen kann, ob es sich lohnt, weitere Informationen zur Bestimmung der optimalen Lösung einzuholen • wie man einen Schritt zurück von den Zahlen macht und die möglichen Lösungen im Lichte des Gesamtbildes qualitativ bewertet • die Grundlagen der Optimierung und wie es zur Ermittlung optimaler Lösungen für komplexe Probleme eingesetzt werden kann, einschliesslich linearer, ganzzahliger und Netzwerkprogrammierung, Umgang mit mehreren Zielen und Durchführung von Sensitivitätsanalysen. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | Die Vorlesung ist in folgende Themen unterteilt: 1. Einführung - Eine Einführung in das System Engineering, eine Denkweise, die hilft, nachhaltige Systeme zu entwickeln, d. h. solche, die kurz-, mittel- und langfristig die Bedürfnisse der Akteur:innen erfüllen. Ein Überblick über die wichtigsten Prinzipien des System Engineering. Die Erwartungen an Ihre Leistungen während des Semesters. 2. Situationsanalyse - Wie man die große Menge an Informationen strukturiert, die oft mit dem Versuch verbunden ist, komplexe Systeme zu verändern. 3. Ziele und Randbedingungen - Wie man Ziele und Randbedingungen festlegt, um die besten Lösungen so klar wie möglich zu identifizieren. 4. Generierung möglicher Lösungen - Wie man mögliche Lösungen für Probleme generiert und dabei mehrere Akteur:innen berücksichtigt. 5. Die Prinzipien der Nettonutzenmaximierung und eine Reihe von Methoden, die von qualitativ und grob bis quantitativ und exakt reichen, unter anderem paarweiser Vergleich, Elimination, Gewichtung und Erwartungswert. 6. Die Idee hinter den Angebots- und Nachfragekurven und den Methoden der "revealed preference”. 7. Das Konzept der Äquivalenz, unter anderem der Zinseffekt, Zinsen, Lebenszeiten und Endwerte. 8. Die Beziehung zwischen Netto-Nutzen und dem Nutzen-Kosten-Verhältnis. Wie die inkrementelle Kosten-Nutzen-Analyse verwendet werden kann, um den maximalen Nettonutzen zu bestimmen. Interne Zinssätze. 9. Wie man mehrere mögliche Zukünfte in Betracht zieht und einfache Regeln verwendet, um optimale Lösungen auszuwählen und den Wert von mehr Informationen zu bestimmen. 10. Sobald die quantitative Analyse verwendet wird, ist es möglich, Methoden der Optimierung zu verwenden, um eine grosse Anzahl möglicher Lösungen zu analysieren. Lineare Programmierung und die Simplex-Methode. 11. Wie eine Sensitivitätsanalyse mit linearer Programmierung durchgeführt wird. 12. Wie man Optimierung verwendet, um Probleme zu lösen, die aus diskreten Werten bestehen, und wie man die Struktur von Netzwerken ausnutzt, um optimale Lösungen für Netzwerkprobleme zu finden. 13. Wie man Probleme mit mehreren Zielen aufstellt und löst. Die Vorlesung verwendet eine Kombination aus qualitativen und quantitativen Ansätzen. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | • Die Vorlesungsunterlagen bestehen aus einem Skript, den Folien, Beispielrechnungen in Excel, Moodle-Quizzes und Übungen. • Die Vorlesungsunterlagen vor jeder Vorlesung über Moodle verteilt. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Entsprechende Literatur wird zusätzlich zu den Vorlesungsunterlagen bei Bedarf über Moodle verteilt. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 101-0509-00L | Infrastructure Management 1: Process | 6 KP | 2G | B. T. Adey | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | Infrastructure management is the process that ensures infrastructure provides desired service over time. This course provides an overview of the process and insight into some of the most important parts, i.e., defining service, justifying interventions, monitoring the infrastructure system, and ensuring a well function infrastructure management organisation. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | The objective of this course is to provide an overview of the infrastructure management process. The high-level process can be used as a starting point to ensure that infrastructure management is done professionally, efficiently and effectively. This process can be used to help improve the specific infrastructure management processes in the organisations. More specifically upon completion of the course, students had their first experience with • defining the service to be provided by infrastructure, • developing and evaluating asset strategies, and converting them into programs / project portfolios • establishing a monitoring program for an infrastructure system, and • establishing basic rules and principles to ensure an infrastructure management organisation is running well. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The weekly lectures are structured as follows: 1 Introduction: An introduction to infrastructure management and the project. 2 Service: Determination of what service you are trying to provide with an infrastructure network is important in justifying the interventions you think are required and ensuring that investment decisions are aligned throughout an infrastructure management organisation. This lecture introduces the concept of serve and connects it to measurable indicators. 3 Help session 1: This session provides time for your group to ask questions as you define the service you want your infrastructure network to provide 4 Presentation 1: 4 groups will present their ideas on how they want their networks to provide service 5 Interventions: Justifying the interventions you want to execute to ensure you continue to provide the defined service requires you to model deterioration, determining economically justifiable strategies and explain which interventions will be postponed if you can’t do all you would like. This lecture is focused on explaining the main principles behind each of these concepts. 6 Help session 2: This session provides time for your group to ask questions as you justify the interventions you want to execute on your infrastructure network over time and explain what you will postpone if you cannot do all of them. 7 Presentation 2: 4 groups will present how they have justified interventions and how they have selected the ones they would like to postpone if required 8 Monitoring: To ensure you the infrastructure network is providing what you expect you need to monitor its performance and how projects are being done. This lecture is focused on the principles to ensure a monitoring system is set up that ensure that the infrastructure system is providing the expected service. 9 Help session 3: This session provides time for your group to ask questions on how to establish the monitoring systems for your infrastructure networks. 10 Presentation 3: 4 groups will present how they intended to monitor their systems and projects. 11 Organisation: Managing infrastructure only works well with great teams of people with great processes. This lecture focuses on the principles of ensuring a well function organisation and well-functioning processes. 12 Help session 4: This session provides time for your group to ask questions on how to ensure well-functioning organisations and well-functioning processes. 13 Presentation 4: 4 groups will present how they intended to ensure well-functioning organisations and well-functioning processes. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | - The lecture materials consist of handouts and the slides. - The lecture materials will be distributed via Moodle by the beginning of each lecture. - The questions to be discussed in the discussion session will be distributed by the end of the day on the Monday before the discussion session. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Appropriate literature will be handed out when required via Moodle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | This course has no prerequisites. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 101-0509-10L | Infrastructure Planning  | 3 KP | 2G | B. T. Adey | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | This course explains how ideas for infrastructure emerge from strategic planning (macro scale), are taken up in the planning of systems (meso scale) and progress to approval through project evaluation (micro scale). It also provides infrastructure planners with principles for the appraisal of possible projects with and without the explicit valuing of costs and benefits. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | Infrastructure planners ensure our built environment optimally meets our future needs. This is challenging, as the built environment is a large and complex system, which interacts extensively with the natural environment. Additionally, there is considerable uncertainty with respect to the expectations of the built environment in the future, due to the uncertain environment in which we live, e.g. changing technologies and the changing climate. It is in the face of this complexity and uncertainty that infrastructure planners need to help develop strategic goals, and propose and defend specific potential infrastructure improvements and to a large and diverse set of stakeholders. This course provide infrastructure planners with an understanding of how ideas for infrastructure emerge from strategic planning (macro scale), are taken up in the planning of systems (meso scale) and progress to approval through project evaluation (micro scale). It also provides infrastructure planners with principles for the appraisal of possible projects with and without the explicit valuing of costs and benefits. More specifically, upon completion of the course students will understand: - how ideas for infrastructure are generated at a strategic level, are interpreted in the development of system plans and reach concrete project proposals - how project ideas emerge from system plans and are iteratively developed and appraised until approval - the principles of system modelling and system modelling over time in appraising and defending infrastructure proposals - the advantages and disadvantages of explicitly evaluating the costs and benefits in the appraisal of infrastructure proposals and the advantages and disadvantages of not evaluating the costs and benefits in the appraisal of infrastructure proposals. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | The course consists of 5 lectures, 4 help sessions and 4 presentation / evaluation sessions. The two hour weekly lecture period is used as follows: 1-Introduction: Strategic planning to project appraisals – This lecture provides an introduction to the course and an explanation of how the impetus for infrastructure modifications emerge from strategic planning and evolve to the appraisal and approval of specific infrastructure projects. The requirements for successful completion of the course are discussed. 2-Project appraisals: Case for change to approval – This lecture explains how project ideas are generated from system plans and iteratively evolve to become an appraised project. 3-Modelling how a system works and doesn't work - This lecture explain the principles of how to model a system to facilitate the appraisal of the project. 4-Modelling how systems evolve over time - This lecture explains how to model how systems evolve over time using Monte Carlo simulations and both system changes and planner decisions triggered by system changes. 5-Appraising potential projects with/without cost benefit analysis - This lecture explains two way of appraising projects. The first can be used when it is possible to explicitly estimate the costs and benefits of the proposed modifications. The second can be used when it is not possible to explicitly estimate costs and benefits of the proposed modifications. 6-10-Help sessions – We use the lecture periods to answer any questions you might have on your project. Your project is due on Friday of week 9. 11-14-Project presentations – In these lecture periods each group will be asked to present their project and be asked to field questions from the lecturers and fellow students. The presentations will be graded by the lecturers. Fellow students will give their impressions of the presentations and ability of the group to answer the questions. The course uses a combination of qualitative and quantitative approaches. The quantitative analysis required in the project requires at least the use of Excel. Some students, however, prefer to use Python or R. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | • The lecture materials consist of handouts, the slides, and example calculations in Excel. • The lecture materials will be distributed via Moodle two days before each lecture. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Appropriate literature will be handed out when required via Moodle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Voraussetzungen / Besonderes | This course has no prerequisites. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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| 101-0515-AAL | Project Management Belegung ist NUR erlaubt für MSc Studierende, die diese Lerneinheit als Auflagenfach verfügt haben. Alle andere Studierenden (u.a. auch Mobilitätsstudierende, Doktorierende) können diese Lerneinheit NICHT belegen. | 2 KP | 4R | B. T. Adey | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kurzbeschreibung | General introduction to the development, the life cycle and the characteristics of projects. Introduction to, and experience with, the methods and tools to help with the preparation, evaluation, organisation, planning, controlling and completion of projects. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lernziel | To introduce the methods and tools of project management. To impart knowledge in the areas of project organisation and structure, project planning, resource management, project controlling and on team leadership and team work. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Inhalt | - From strategic planning to implementation (Project phases, goals, constraints, and feasibility) - Project leadership (Leadership, Teams) - Project organization (Structure) - Project planning (Schedule, cost and resource planning) - Project controlling - Risk and Quality Management - Project completion | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Skript | This is a self-study course, there are no lectures or help sessions. A Moodle page with the relevant literature, study materials, and course information is provided. For questions regarding course content or administration, students may approach the lecturers/teaching assistants. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literatur | Material that can be used for the self-study course is: 2 Books: • Shtub, Bard and Globerson, 2nd ed. Chapters 1, 6-11 (provided as PDFs) • Nicholas and Steyn, 4th ed., Chapters 1, 5-15 (Available online) 2 exams from previous semesters (2012 fall and spring) for practice, with solutions provided. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Kompetenzen |
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