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School of Management, Unit Catalogue 2008/09


MN50417 Decision analysis

Credits: 6
Level: Masters
Semester: 1
Assessment: CW 40%, EX 60%
Requisites:
Aims: The aims of this unit are:
* to investigate how individuals and groups make decisions relating to technology and innovation;
* to demonstrate the weaknesses of unaided decision making;
* to demonstrate how decision analysis can help to overcome these weaknesses in problems where there may be a plurality of objectives, risk and both qualitative and quantitative attributes;
* to examine and evaluate methods designed to support long term decision making such as growth curves, the Delphi method and scenario planning.
Learning Outcomes:
At the end of the course students will be able to:
* recognise problems which are amenable to decision analysis;
* implement appropriate decision analysis methods;
* critically evaluate analyses by considering the underlying normative and behavioural assumptions of decision analysis;
* apply and evaluate methods designed to inform long-term decisions relating to technology and innovation.
Skills:
Key
* an openness and capacity to continue learning with the ability to reflect on earlier knowledge and practice and integrate the new with past experience and effectively apply it to the present situations. F
Intellectual
* identify biases and deficiencies of observed decision processes, T,A
* evaluate and interpret new information, and engage in problem solving; T,A
Practical
* formulate and evaluate decision support models T, A
* demonstrate consistent and effective written communication skills; A
Professional
* deal with complex issues and make sound judgements in the absence of complete information, and to communicate their conclusions clearly and competently to a range of audiences. F
Content:
Descriptive models and theories of individual decision making:
Problems associated with group decision making.
Heuristics and biases in probability and risk assessment
The underlying rationale of decision analysis
Decision Problems involving multiple objectives
Decision Problems under conditions of uncertainty
Structuring decision problems.
Probability assessment, including risk analysis
Revision of Opinion in the light of new information.
Methods designed to aid group decision making.
Handling the long-term future: the Delphi method, scenario planning and growth curves.