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: |
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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: |
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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: |
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Remarks: | Basic knowledge in mathematics and ecology/biology |
Module Components: | 410208 VL Decision Support for Environmental and Resource Management |
Components to be offered in the Current Semester: |
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