An introduction to decision analysis and evidence− based decision making
The aim of this Module is to provide the student with : an understanding of basic concepts, and a skill set, in decision analysis and support, and evidence−based decision making.
By the end of this module the student should be able to:
1. Understand key concepts and processes in decision making, analysis, and support
2. Structure decision problems, elicit preferences and priorities
3. Analyze, interpret and use different datasets, and evaluate real data problems.
4. Perform basic decision analysis.
Attributes and Contexts of Decisions: Attributes of a “good” decision, “bad” vs “wrong” decisions; “Is decision making an art or a science?”; Contexts of considering decisions; The role of the analyst/facilitator.
Intuition, Individuality, and Self−awareness: The role of intuition in decision making; Individual differences and their impact on making decisions; the role of self−awareness.
Scientific Approaches to Decision Making: Decision Trees; Multi−Criteria Decision Analysis; Multi−Attribute Value Function model.
Problem Structuring: Identifying and defining options; Identifying/eliciting criteria; Building a value tree.
Value Elicitation: Values versus facts as the basis for a decision;The importance of information to support decisions; Eliciting and quantifying preferences (scores); Eliciting and quantifying priorities (weights); the importance of information in decision making.
Exploring a Decision: Conducting sensitivity analysis, exploring the impact of changes to scores and weights; “Requisite” modelling.
Statement on Teaching, Learning and Assessment
Teaching and learning on this module will be interactive and learner− centred, with 50% of content delivered through enquiry based learning. The module will develop the student’s analytical, interpretive and evaluative skills through structured (theoretical) input, and through practice and application, including tutorial and lab based work. In week 7, students will have the opportunity to participate in activities that will provide them with feed−back and feed−forward.
Teaching and Learning Work Loads
|Supervised Practical Activity||14|
|Unsupervised Practical Activity||0|
Credit Value – The total value of SCQF credits for the module. 20 credits are the equivalent of 10 ECTS credits. A full-time student should normally register for 60 SCQF credits per semester.
We make every effort to ensure that the information on our website is accurate but it is possible that some changes may occur prior to the academic year of entry. The modules listed in this catalogue are offered subject to availability during academic year 2017/18 , and may be subject to change for future years.