Bryan T. Adey: Catalogue data in Spring Semester 2020

Name Prof. Dr. Bryan T. Adey
FieldInfrastructure Management
Address
Inst. Bau-&Infrastrukturmanagement
ETH Zürich, HIL F 24.3
Stefano-Franscini-Platz 5
8093 Zürich
SWITZERLAND
Telephone+41 44 633 27 38
E-mailadey@ibi.baug.ethz.ch
DepartmentCivil, Environmental and Geomatic Engineering
RelationshipFull Professor

NumberTitleECTSHoursLecturers
101-0031-AALSystems 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 credits9RB. T. Adey
AbstractThis 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.
ObjectiveUpon 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 notesThe 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-AALProject 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 credits4RB. T. Adey
AbstractGeneral 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.
ObjectiveTo 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 notesYes
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.
101-0579-00LInfrastructure Management 2: Evaluation Tools4 credits2GB. T. Adey, C. Kielhauser
AbstractThis 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.
ObjectiveThe 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
ContentReliability
Availability and maintainability
Regression analysis
Event trees
Fault trees
Markov chains
Neural networks
Bayesian networks
Lecture notesAll necessary materials (e.g. transparencies and hand-outs) will be distributed before class.
LiteratureAppropriate reading material will be assigned when necessary.
Prerequisites / NoticeAlthough 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.