Departments' graduate courses
Course start and periodicity may vary. Please see details for each course for up-to-date information. The courses are managed and administered by the respective departments. For more information about the courses, how to sign up, and other practical issues, please contact the examiner or course contact to be found in the course information.
Value of information analysis (VOIA)
- Course code: FBOM105
- Course higher education credits: 5.0
- Department: ARCHITECTURE AND CIVIL ENGINEERING
- Course is normally given: Future occasions will be announced.
- Language: The course will be given in English
Collection of different types of information, e.g. rock characterization in
tunnels, sampling of contaminated soil, and measurements of groundwater levels
is fundamental in civil and environmental engineering projects. An important,
but often rather complex, issue is to decide what amount of information that is
reasonable to collect for the specific task at hand. Optimizing the collection
of information requires experience, knowledge of the environment we are working
in and clear objectives. We also need methods for handling the inherent
uncertainties. One of several approaches to optimize the collection of
information is Value of Information Analysis (VOIA). In this approach the
reduced economic risks of making an erroneous decision that is the result of an
information collection program are compared to the costs for obtaining the new
information. By comparing alternative information collection strategies, the
best alternative from a risk-cost perspective can be identified.
The aim of the course is to provide a fundamental
theoretical understanding of Bayesian Value of Information Analysis. The
student shall after completion of the course be able to apply VOIA on a basic
level in evaluation of their own information collection programs.
The course is a mixture of
lectures by Tommy Norberg and Lars Rosén, seminars, and a project assignment.
The students are encouraged to work on their own projects.
Bedford, T. & Cooke, R., 2001:
Probabilistic Risk Analysis. Foundations and Methods. Cambride University
Press. Kapitel 10 och 13.
Back P-E. 2006. Value of Information
Analysis for Site Investigations in Remediation projects. PhD Thesis No. 2551,
Chalmers University of Technology, Göteborg. Kapitel 2 och 3.
Back, P.E., Rosén, L. and Norberg, T.,
2007: Value of Information Analysis of Remedial Investigations. AMBIO: A
Journal of the Human Environment: Vol. 36, No. 6, pp. 486¿493.
Norberg, T. and Rosén, L., 2006:
Calculating the Optimal Number of Contaminant Samples by Means of Data Worth
Analysis. Environmetrics, Vol 17. No. 7 p. 705-719.
Senior Lecturer Tommy Norberg, former professor at Department of Mathematical Sciences, Chalmers
Professor Lars Rosén, Department of GeoEngineering, Chalmers
Contact Lars Rosén, email@example.com