Postgraduate Course: Integrated Resource Planning (PGGE11118)
Course Outline
| School | School of Geosciences |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | Integrated Resource Planning is about co-ordinating planning & decision making processes in natural resource use so that:
- Resource use is more effective
- Alternative strategies can be examined
- Appropriate decisions can be reached
This course introduces participants to a range of planning tools, with an insight into the associated background theory and a strong focus on their application in practice. The sessions will be primarily participative and include exposure to a range of computer modelling software examples.
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| Course description |
The course comprises of 3 sections:
1. Optimisation modelling (Ron Wilson)
Session 1 Introducing planning approaches
Session 2 Optimising resource use activities
Session 3 Adding some dynamic to optimisation models
Session 4 Open-ended optimisation
2. Modelling in practice
(Ron Wilson & Claire Morgan-Davies)
Session 5 Models from industry
Session 6 Research model workshop
Session 7 Research model presentations
3. Foresight analysis & Scenario development
(Marc Metzger)
Session 8 Scenario introduction and driver selection
Session 9 Storyline development
Session 10 Quantitative scenario
Session 11 Reporting and assignment prep
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
| Not being delivered |
Learning Outcomes
On completion of this course, the student will be able to:
- Appreciate the use of management tools and models in resource planning
- Construct simple optimisation models to determine activity mixes
- Have an insight into the theory and practice of foresight analysis and scenario development
- Effectively use models to develop quantitative scenarios
- Have insights into the vulnerability of European ecosystem services to global change
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Reading List
Chinneck, J. W. (2012). Practical Optimization: A Gentle Introduction
http://www.sce.carleton.ca/faculty/chinneck/po.html
Dantzig, G.B., 1963. Linear Programming and Extensions. Princeton, New Jersey: Princeton University Press
Dent, J.B., Harrison, S.R. and Woodford, K.B. (1986) Farm Planning with Linear Programming: Concept & Practice. Butterworths London.
Hillier, F.S. & Hillier, M. (2007) 'Introduction to Management Science', McGraw-Hill.
Meissner, J, Nguyen, T (2010) 'An Introduction to Spreadsheet Optimisation Using Excel Solver.' http://www.meiss.com/download/Spreadsheet-Optimization-Solver.pdf
Nwankwo, W. 'Mathematical Programming'
http://www.scribd.com/doc/54833970/Mathematical-Programming
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Integrated Resource Planning - Natural resource use planning,optimisation models,system dynamics m |
Contacts
| Course organiser | Dr Ron Wilson
Tel:
Email: Ron.Wilson@ed.ac.uk |
Course secretary | Miss Susie Crocker
Tel: (0131 6)51 7126
Email: Susie.Crocker@ed.ac.uk |
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