41423 - Decision Support for Environmental and Resource Management Modulübersicht

Module Number: 41423 - module is no longer offered from SS 2012
Module Title:Decision Support for Environmental and Resource Management
  Entscheidungsunterstützung für das Umweltmanagement
Department: Faculty 4 - Environmental Sciences and Process Engineering
Responsible Staff Member:
  • Prof. Dr. rer. nat. habil. Gnauck, Albrecht
Language of Teaching / Examination:English
Duration:1 semester
Frequency of Offer: On special announcement
Credits: 6
Learning Outcome:Part Decision Support and Optimisation
Objectives are to enable students to use optimisation and decision support techniques for analy-sis of environmental and resource management. Students will be able to understand and to use multi-attribute and multi-objective optimisation procedures as well as decision techniques to find out best management practices. They will be able to judge the importance of mathematical ex-pressions and rules for ecosystem and resource management actions.

Part Introduction to ISSOP and Applications
Objectives are to enable students to understand basic concepts of optimisation procedures and to apply ISSOP routines for model based decisions. The students will be able to generate small environmental models and combine them with optimisation procedures for environmental decisions.
Contents:The classes give introductory overviews on the concepts and methods of mathematical optimisation and model based decision support for environmental and resource management.

Part Decision Support and Optimisation
1. Introduction to decision theory (Basic tasks, goals and alternatives, conflicts, uncertainties, decision as a process)
2. Decision models (Classification of models, basic elements, the basic decision model, graphical decision models, subjectivity of decision models)
3. Decision criteria (general problems, multi-dimensional decisions, preferences)
4. Goal functions (Introduction and general problems, scales of operation, weighting functions)
5. Decision support under uncertainty (Problems, classical decision rules)
6. Basics of probability theory and statistical decisions (Basics of probability theory, variances and co-variances)
7. Decision support with risk (problems, classical decision criteria, the Bernoulli principle, the Arrow-Pratt-measure)
8. Security equivalence and stochastic goal variables (Problems, security equivalence and decay of risk)
9. Risk analysis and optimal decision making for single periods (General problems, characteristics of efficient alternatives, basics of portefeuille theory)
10. Decisions for multiple periods (The principle of flexible planning, decision trees, the roll-back-procedure)
11. Measurement of subjective probabilities (General problems, acceptance of subjective probabilities)
12. Optimal decision making (General overview, information needed for decision making)
13. Multiple attribute decision making (General problems, alternatives, decision models and procedures)
14. Multi objective decision making (general problems, group dynamics, preferences, Pareto-optimisation)
15. Decision support system for environmental management (Examples and selected applications)

Part Introduction to ISSOP and Applications
1. Basics (Modelling, simulation and optimisation, classification of computer based optimisation methods)
2. Coupling ISSOP with other simulation systems
3. Strategies for parameter optimisation (Deterministic models, stochastic models, adaptive models)
4. Optimisation procedures of ISSOP (General overview, mathematical descriptions)
5. SENSIT
6. DISOPT
7. CENUM
8. EVOL
9. SIMCARLO
10. SIMGEN
11. THRESHACC
12. QUADLS
13. Adaptive optimisation
14. Applications for water quality management
15. Applications for environmental management
Recommended Prerequisites:Recommended: Mathematics I, II, Ecosystem analysis, MATLAB
Mandatory Prerequisites:None
Forms of Teaching and Proportion:
  • Lecture / 2 Hours per Week per Semester
  • Seminar / 2 Hours per Week per Semester
  • Self organised studies / 120 Hours
Teaching Materials and Literature:Part decision support and optimisation: Script will be available
References:
Brebbia, C. A., J. L. Rubio and J-L. Uso (eds.), 1998: Risk Analysis II. WIT Press, Southampton.
Fandel, G. und J. Spronk (eds.), 1985: Decision Methods and Applications. Springer, Berlin.
Franke, J., W. Härdle and G. Stahl, 2000: Measuring Risk in Complex Stochastic Systems. Springer, New York.
Guddat, J., Guerra Vasquez, F., Tammer, K. und K. Wendler, 1985: Multiobjective and Stochastic Optimization Based on Parametric Optimization. Akademie-Verlag, Berlin.
Gupta, S. S. and S. Panchapakesan, 2002: Multiple Decision Procedures: Theory and Methodol-ogy of Selecting and Ranking Populations. SIAM Press, Philadelphia.
Haimes, Y. Y., W. A. Hall und H. T. Freedman, 1975: Multiobjective Optimization in Water Re-sources Systems. Elsevier, Amsterdam.
Lange, K., 2004: Optimization. Springer, Berlin.
Loucks, D. P., J. R. Stedinger und D. A. Haith, 1981: Water Resources Systems Planning and Analysis. Prentice-Halle, Englewood Cliffs.
Misra, J. C. (ed.), 2002: Uncertainty and Optimality. World Scientific, River Edge.
Straškraba, M. and A. Gnauck, 1985: Freshwater Ecosystems – Modelling and Simulation. Else-vier, Amsterdam.
Vincke, P., 1992: Multicriteria Decision-Aid. Wiley, Chichester.
Wierzbicki, A. P., M. Makowski and J. Wessels (eds.), 2000: Model-Based Decision Support Methodology with Environmental Applications. Kluwer, Dordrecht.

Part Introduction to ISSOP and Applications : Script will be available
References
Krug, W., 2002: Modelling, Simulation and Optimisation for manufacturing, organisational and logistical processes. SCS Europ. Publ. House, Delft.
Module Examination:Unspecified - Specification from winter semester 2016/17 required!
Assessment Mode for Module Examination:Written module examination-paper done under close supervision (1.5h) (covering "Decision Support for Environmental and Resource Management", and "Introduction to ISSOP and Applications")
The successfully processing of the programming exercises ("Introduction to ISSOP and Applications ") is a prerequisite for participation on the exam.
Evaluation of Module Examination:Performance Verification – graded
Limited Number of Participants:None
Part of the Study Programme:
  • no assignment
Remarks:Basic knowledge in mathematics and ecology/biology
Module Components:

410208 VL Decision Support for Environmental and Resource Management
410209 SE Introduction to ISSOP and Applications
841024 Prüfung Decision Support for Environmental and Resource Management

Components to be offered in the Current Semester:
  • no assignment