Bryan T. Adey: Catalogue data in Autumn Semester 2019

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
E-mail	adey@ibi.baug.ethz.ch
Department	Civil, Environmental and Geomatic Engineering
Relationship	Full Professor

Number	Title	ECTS	Hours	Lecturers
101-0007-00L	Project Management for Construction Projects	4 credits	3S	B. T. Adey, J. J. Hoffman
Abstract	This course is designed to lay down the foundation of the different concepts, techniques, and tools for successful project management of construction projects.
Objective	The goal is that at the end of this course students should have a good understanding of the different project management knowledge areas, the phases required for successful project management, and the role of a project manager. To demonstrate this, students will work in groups in different case studies to apply the concepts, tools and techniques presented in the class. Two 3 to 4 hours sessions towards the end of the lecture series will introduce a practical project to allow the teams to demonstrate the tools and techniques learned during the semester. The course will have a final quiz that will be graded.
Content	The main content of the course is summarized in the following topics: - Project and organization structures - Project scheduling - Resource management - Project estimating - Project financing - Risk management - Project Reporting - Interpersonal skills
Lecture notes	The slides for the class will be available for download from Moodle at least one day before each class. Copies of all necessary documents will be distributed at appropriate times.
Literature	Relevant readings will be recommended throughout the course (and made available to the students via Moodle).
Prerequisites / Notice	The students will be randomly assigned to teams. 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.
101-0031-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.
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.
101-0031-01L	Systems Engineering	4 credits	4G	B. T. Adey, C. Kielhauser
Abstract	An introduction to system development, analysis and optimization, and decision making, with focus on linear programming, networks, formal decision methods and economic analysis.
Objective	- to gain compentency in methods used to plan and analyse systems - to gain the ability to formulate, analyse and solve complex problems - to gain compentency in the methods used for the evaluation of multiple solutions
Content	- Introduction - System development - System analysis - Networks - Decision theory - Economic analysis - Cost-benefit analysis
Lecture notes	Script and transparencies as well as additional material via Moodle. The transparencies will be provided via Moodle two days before the respective class.
101-0507-00L	Infrastructure Management 3: Optimisation Tools Does not take place this semester.	6 credits	2G	B. T. Adey
Abstract	This course will provide an introduction to the methods and tools that can be used to determine optimal inspection and intervention strategies and work programs for infrastructure.
Objective	Upon successful completion of this course students will be able: - to use preventive maintenance models, such as block replacement, periodic preventive maintenance with minimal repair, and preventive maintenance based on parameter control, to determine when, where and what should be done to maintain infrastructure - to take into consideration future uncertainties in appropriate ways when devising and evaluating monitoring and management strategies for physical infrastructure - to use operation research methods to find optimal solutions to infastructure management problems
Content	Part 1: Explanation of the principal models of preventative maintenance, including block replacement, periodic group repair, periodic maintenance with minimal repair and age replacement, and when they can be used to determine optimal intervention strategies Part 2: Explanation of preventive maintenance models that are based on parameter control, including Markovian models and opportunistic replacement models Part 3: Explanation of the methods that can be used to take into consideration the future uncertainties in the evaluation of monitoring strategies Part 4: Explanation of how operations research methods can be used to solve typical infrastructure management problems.
Lecture notes	A script will be given out at the beginning of the course. Class relevant materials will be distributed electronically before the start of class. A copy of the slides will be handed out at the beginning of each class.
Prerequisites / Notice	Successful completion of IM1: 101-0579-00 Evaluation tools is a prerequisite for this course.
101-0509-00L	Infrastructure Management 1: Process Remark: Former Title "Infrastructure Management Systems".	6 credits	3G	B. T. Adey, C. Kielhauser
Abstract	The course provides an introduction to the steps included in the infrastructure management process.
Objective	Upon completion of the course, students will - understand the steps required to manage infrastructure effectively, and - understand the complexity of these steps.
Content	The lectures are structured as follows: - Introduction - Setting goals and constraints - Predicting the future - Determining and justifying interventions - Determining and justifying monitoring - Converting programs to projects - Analysing projects - Ensuring good information - Ensuring a well run organisation - Describing the IM process - Evaluating the IM process
Lecture notes	Appropriate reading / and study material will be handed out during the course. Transparencies will be handed out at the beginning of each class.
Literature	Appropriate literature will be handed out when required.
101-0509-10L	Network Infrastructure 1	3 credits	2G	B. T. Adey, C. Kielhauser
Abstract	The course provides an introduction of how to make and defend estimates for spending on the maintenance of network infrastructure, and in evaluating multiple options in modifying network infrastructure in situations where there is substantial future uncertainty on the infrastructure requirements.
Objective	Upon completion of the course, students will - be able to make and defend estimates for spending on the maintenance of network infrastructure - be able to evaluate multiple options in modifying network infrastructure in situations where there is substantial future uncertainty on the infrastructure requirements
Content	- Setting goals and constraints - Predicting the future with certain demand - Justifying interventions with certain demand - Predicting the future with uncertain demand - Justifying interventions with uncertain demand
Lecture notes	Appropriate reading / study material will be handed out during the course. Copies of the slides will be handed out at the beginning of each class.
Literature	Appropriate literature will be handed out when required.
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.
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.