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DRPS : Course Catalogue : School of Geosciences : Postgraduate Courses (School of GeoSciences)

Postgraduate Course: Integrated Resource Planning (PGGE11118)

Course Outline
SchoolSchool of Geosciences CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryIntegrated 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.
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
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
High Demand Course? Yes
Course Delivery Information
Academic year 2016/17, Available to all students (SV1) Quota:  40
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Lecture Hours 33, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 163 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) Coursework Assessment 100%

There are 2 intermittent assessments in the course, but no formal examination paper.
Feedback Formative feedback is available interactively within the self- learning packages associated with the course. Feedback on the submitted intermittent assessments will be given via Learn through the ¿Turnitin¿ grademarker which will be used to attach comments throughout submitted documents.
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Appreciate the use of management tools and models in resource planning
  2. Construct simple optimisation models to determine activity mixes
  3. Have an insight into the theory and practice of foresight analysis and scenario development
  4. Effectively use models to develop quantitative scenarios
  5. Have insights into the vulnerability of European ecosystem services to global change
Reading List
Chinneck, J. W. (2012). Practical Optimization: A Gentle Introduction
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.'
Nwankwo, W. 'Mathematical Programming'
Additional Information
Graduate Attributes and Skills Not entered
KeywordsIntegrated Resource Planning - Natural resource use planning,optimisation models,system dynamics m
Course organiserDr Ron Wilson
Tel: (0131 6)51 7163
Course secretaryMiss Susie Crocker
Tel: (0131 6)51 7126
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