Bryan T. Adey: Catalogue data in Autumn Semester 2017

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
101-0007-00LProject Management for Construction Projects Restricted registration - show details 4 credits3SB. T. Adey, J. J. Hoffman
AbstractThis course is designed to lay down the foundation of the different concepts, techniques, and tools for successful project management of construction projects.
ObjectiveThe 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 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.
ContentThe 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 notesThe 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.
LiteratureRelevant readings will be recommended throughout the course (and made available to the students via Moodle).
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.
101-0031-01LSystems Engineering4 credits3GB. T. Adey, C. Richmond
AbstractAn 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 notesScript and transparencies as well as additional material via Moodle.
The transparencies will be provided via Moodle two days before the respective class.
101-0032-AALBusiness Administration
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
AbstractIntroduction to business administration
Principles of accounting and financial management
Financial planning and capital budgeting of projects
Costing systems by corporations
ObjectivePrepare and analyze the financial statements of organizations
Understand the major costing systems
Establish budget and determine profitability of investment
Perform some product calculations
ContentOverview in business administration

Financial Accounting
- Balance sheet, income statement
- Accounts, double-entry bookkeeping
- Year-end closing and financial statements

Financial Management
- Financial statement analysis
- Financial planning
- Investment decisions

Management Accounting
- Full costing and marginal costing
- Product costing
- Management decisions
LiteratureThe script for the original course 101-0031-02 Betriebswirtschaftslehre is in German. The English material that can be used for the virtual course will be given out on an as need basis.
101-0507-00LInfrastructure Management 3: Optimisation Tools
Remark:
New title from HS17 on: Infrastructure Management 3: Optimisation Tools now in HS. Old title until FS17: Infrastructure Maintenance Management.
3 credits2GB. T. Adey
AbstractThis 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.
ObjectiveUpon 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
ContentPart 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 notesA 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 / NoticeSuccessful completion of IM1: 101-0579-00 Evaluation tools is a prerequisite for this course.
101-0509-00LInfrastructure Management 1: Process
Remark: Former Title "Infrastructure Management Systems".
4 credits3GB. T. Adey
AbstractThe course provides an introduction to the steps included in the infrastructure management process. The lectures are given by a mixture of external people in German and internal people in English.
ObjectiveUpon completion of the course, students will
- understand the steps required to manage infrastructure effectively,
- understand the complexity of these steps, and
- have an overview of the tools that they can use in each of the steps.
Content- The infrastructure management process and guidelines
- Knowing the infrastructure - Dealing with data
- Establishing goals and constraints
- Establishing organization structure and processes
- Making predictions
- Selecting strategies
- Developing programs
- Planning interventions
- Conducting impact analysis
- Reviewing the process
Lecture notesAppropriate reading / and study material will be handed out during the course.
Transparencies will be handed out at the beginning of each class.
LiteratureAppropriate literature will be handed out when required.
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.
103-0377-10LBasics of RE&IS Restricted registration - show details 2 credits2GB. T. Adey, K. W. Axhausen, M. J. Van Strien
AbstractEvery Master student should acquire a number of basic skills that will allow them to practice science independently. Especially in such a broad and practice-oriented MSc program as Spatial Development and Infrastructure Systems, it is important that all students develop a solid foundation of general scientific skills. In this course such general skills are taught.
ObjectiveThe aim of the course is to teach students starting a RE&IS Master basic skills that are not only required to successfully complete the RE&IS Master program, but are also important for the future career in science or practice. The course consists of three components covering the following topics:
- Learning the basics of the statistical software R
- Project management
- Important aspects of sound scientific conduct and practice.
ContentThe first five weeks of the course, students will learn the basics of the open-source software R, which is currently one of the most popular software programs for (statistical) data analysis and data modelling. During the computer lab sessions, students will learn how to read and write data from and to files, create and handle R objects such as vectors and data frames, plot data (histograms, boxplots, scattered plots and simple maps), write conditional statements as well as for- and while-loops. Each lab-session will start with a short lecture, after which students have to complete several exercises that have to be completed in order to pass the course.

In the following five weeks of the course, students will learn the basics of project management. The main topics will be the organisation of the people involved in the project, the establishment and structuring of the contents, establishing a schedule, estimating the needs for resources and financing, setting up a plan to control the progress of the project and conducting a risk analysis. The students are expected to work on a small project for the five weeks where each subject matter will be addressed.

The final four weeks will discuss further issues, especially related to scientific conduct, such as plagiarism or citation.
Lecture notesA syllabus of the course will be handed out at the beginning of the course. Furthermore, handouts of the lectures and exercise materials will be made available during the course.