Learning Outcomes
Upon successfull completion, the graduate student should be capable of:
• Identifying and estimating the uncertainty or reliability degree of the different variables and parameters under study.
• Understanding the significance of risk in environmental issues and problems and applying methods for its quantification.
• Modeling various types of decision making and risk analysis problems with the use of decision trees.
• Solving environmental management problems by applying principles and methods of decision analysis.
Course Content (Syllabus)
Probability Theory: Probabilities, Probability distributions, Random variables and distributions.
Decision Theory: Simple and Complex Decisions, Decision matrix, Decision Trees, Single criteron and Multicriteria Decision Making
Utility Theory: Definition, Utility functions, Application and properties of utility functions.
Risk analysis: Definitions and Context, Qualitative analysis of risks, Reliability theory, Systems' reliability, Unertainty analysis
Case Studies
Additional bibliography for study
1. Ξενίδης, Ι. (2012). “Μέθοδοι λήψης αποφάσεων και ανάλυση κινδύνων”. Ηλεκτρονικές σημειώσεις, Θεσσαλονίκη.
2. Project Management Institute (2009). Practice Standard for Project Risk Management, Project Management Institute Inc., Pennsylvania, USA.
3.Roy, B. (1996). Multi-criteria Methodology for Decision Aiding, Kluwer, Dordrecht, The Netherlands.
4.Saporita, R. (2006). Managing Risks in Design & Construction Projects (Illustrated),
Amer Society of Mechanical
5.Ward, S. and Chapman, C. B. (2002). Managing Project Risk and Uncertainty: A Constructively Simple Approach to Decision Making, John Wiley & Sons Inc.
6.Smith, N. J., Merna, T., and Jobling, P. (2006). Managing risk in construction projects, 2nd Edition,
Blackwell Pub.
7.Chelst, K. and Yavuz Burak Canbolat, Y.B. (2011). Value-Added Decision Making for Managers, Chapman and Hall/CRC.