Bryan T. Adey: Catalogue data in Spring Semester 2021 |
| Name | Prof. Dr. Bryan T. Adey |
| Field | Infrastructure Management |
| Address | Inst. Bau-&Infrastrukturmanagement ETH Zürich, HIL F 24.3 Stefano-Franscini-Platz 5 8093 Zürich SWITZERLAND |
| Telephone | +41 44 633 27 38 |
| adey@ibi.baug.ethz.ch | |
| Department | Civil, Environmental and Geomatic Engineering |
| Relationship | Full Professor |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 101-0031-AAL | Systems Engineering Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | 4 credits | 9R | B. T. Adey | |
| Abstract | This course is designed to familiarize students with formal methods to be used in general situations to solve problems. The content can be applied in the fields of Civil Engineering, Environmental Engineering, Geomatic Engineering and Spatial Planning and Infrastructure Systems. | ||||
| Learning objective | Upon successful completion of the course the students will be able: -to apply the basic solving problem process, -to develop basic mathematical models to determine optimal solutions to problems, to -to develop basic models to be used in decision making, and -to be able to conduct basic economic and cost-benefit analyses. All of which will improve their ability to find optimal solutions to problems in the fields of Civil Engineering, Environmental Engineering, Geomatic Engineering and Spatial Planning and Infrastructure Systems. | ||||
| Content | -Introduction -Problem solving process -Optimisation models -Decision making models -Economic analysis -Cost-benefit analysis | ||||
| Lecture notes | The script for the original course is in German. The English material that can be used for the virtual course is: 1 ) Adey, B.T., Hackl, J., Lam, J.C., van Gelder, P., van Erp, N., Prak, P., Heitzler, M., Iosifescu, I., Hurni, L., (2016), Ensuring acceptable levels of infrastructure related risks due to natural hazards with emphasis on stress tests, International Symposium on Infrastructure Asset Management (SIAM), Kyoto, Japan, January 21-22. 2) Blanchard, B.S., and Fabrycky W.J., (2008), Systems Engineering and Analysis, 5th International Edition, Prentice Hall. 3) Revelle, C.S., Whitlach, E.E., and Wright, J.R., (2003), Civil and Environmental Systems Engineering, 2nd Edition, Prentice Hall. | ||||
| 101-0515-AAL | Project Management Enrolment ONLY for MSc students with a decree declaring this course unit as an additional admission requirement. Any other students (e.g. incoming exchange students, doctoral students) CANNOT enrol for this course unit. | 2 credits | 4R | B. T. Adey | |
| Abstract | 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. | ||||
| Learning objective | 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. | ||||
| Content | - 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 | ||||
| Lecture notes | Yes The transparencies will be available for download from the website at least one week before each class. Copies of all necessary documents will be distributed at appropriate times. | ||||
| 101-0579-00L | Infrastructure Management 2: Evaluation Tools | 6 credits | 2G | B. T. Adey, S. Kerwin, S. Moghtadernejad | |
| Abstract | This 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. | ||||
| Learning objective | The 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 | ||||
| Content | Reliability Availability and maintainability Regression analysis Event trees Fault trees Markov chains Neural networks Bayesian networks | ||||
| Lecture notes | All necessary materials (e.g. transparencies and hand-outs) will be distributed before class. | ||||
| Literature | Appropriate reading material will be assigned when necessary. | ||||
| Prerequisites / Notice | Although 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. | ||||