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Graduate courses

Departments' graduate courses for PhD-students.


Syllabus for

Academic year
BOM125 - Risk assessment and decision support
Syllabus adopted 2014-02-26 by Head of Programme (or corresponding)
Owner: MPIEE
7,5 Credits
Grading: TH - Five, Four, Three, Not passed
Education cycle: Second-cycle
Major subject: Civil and Environmental Engineering

Teaching language: English
Open for exchange students
Block schedule: B

Course module   Credit distribution   Examination dates
Sp1 Sp2 Sp3 Sp4 Summer course No Sp
0108 Examination 7,5c Grading: TH   7,5c   19 Mar 2015 am V,  Contact examiner,  18 Aug 2015 pm V

In programs



Forskarassistent  Andreas Lindhe


In order to be eligible for a second cycle course the applicant needs to fulfil the general and specific entry requirements of the programme that owns the course. (If the second cycle course is owned by a first cycle programme, second cycle entry requirements apply.)
Exemption from the eligibility requirement: Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling these requirements.

Course specific prerequisites

The specific requirements for the course include basic courses in mathematics and/or statistics equivalent to 15 ECTS credits, applied environmental sciences and/or sustainable development (7,5 ECTS credits).


This course will focus on the use of risk-based decision analysis as a basis for designing and evaluating risk controlling measures. Infrastructure and environmental engineering projects are often associated with substantial risks of different kinds, which may lead to severe consequences to both society and problem owners. Examples are risks concerning drinking water supply, ground stability, accidents with hazardous goods and contamination problems. This course focuses on how to identify, evaluate, and design cost-effective and sustainable measures for controlling risks in infrastructure and environmental engineering projects. The aim of the course is to give you an advanced understanding of risk assessment and decision analysis in infrastructure and environmental engineering.

Learning outcomes (after completion of the course the student should be able to)

  • Show in a written exam the scientific basis for estimating, evaluating and controlling risks in geo and water engineering projects.
  • Perform event tree and fault tree analysis based on system descriptions of geo and water engineering systems.
  • Evaluate risk controlling measures in geo and water engineering projects by using decision analysis methods, specifically cost-benefit analysis (CBA) and multi-criteria analysis (MCA).
  • Analyse uncertainties in risk calculations and decision analysis outcomes, based on statistical inference methods and Monte Carlo simulation.
  • Demonstrate in project assignments the strengths and limitations of CBA and MCA for supporting decisions on risk reduction.
  • Apply software tools for risk assessment and decision analysis (Crystal Ball, Web-HIPRE).
  • Give clear presentations in a technical report, presented orally and in written form, of the findings of a risk assessment and decision analysis.
  • Understand and critically review risk controlling measures presented by other workers.


The course is structured around a set of initial lectures and a project assignment will lead you to a deeper understanding of how to apply decision analysis tools on real world problems. You will get practical hands-on experience of a number of tools and models, e.g. logic models (fault and event tree analysis), Monte Carlo simulations, cost-benefit analysis (CBA) and multi-criteria analysis (MCA). You will learn how to use these methods for identifying cost-effective and sustainable alternatives for reducing and controlling risks.


Lecturers: Lars Rosén, Jenny Norrman, Andreas Lindhe, Tommy Norberg, Tore Söderqvist, Claes Alén, Gunnar Lannér, Yevheniya Volchko


  • Utdrag ur böcket, till exempel:
    • Burgman, M. (2005). Risks and Decisions for Conservation and Environmental Management, Cambridge University Press.
    • Rausand, M. & Høyland, A. (2004). System reliability theory: models, statistical methods and, and applications, 2nd ed., Wiley-Interscience.
  • MCA Manual, UK Treasury
  • Vetenskapliga artiklar
  • Utdrag ur rapporter


Examination will be based on a written examination and assessment of exercises and project.

Page manager Published: Wed 26 Feb 2020.