Information Package / Course Catalogue
Decision Support Systems in Landscape Planning
Course Code: ZPM536
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 8
Objectives of the Course

The aim of this course is to introduce the data collection and processing methods for spatial decision support systems in planning and management of natural and cultural landscapes and to introduce the importance of research and evaluation methods and decision support systems used in landscape planning

Course Content

The production of data layers in the landscape planning process, the spatial decision support system, the multi-criteria evaluation method and the analytical hierarchy method are applied to give information about the land use decisions.

Name of Lecturer(s)
Lec. Birsen KESGİN ATAK
Learning Outcomes
1.To be able to know the concepts about decision support system in landscape planning
2.To be able to learn important concepts for landscape planning in terms of conservation usage balance in natural and cultural resource values.
3.To be able to analyze multiple and complex data by multi evaluation methods.
4.To be able to make optimal land use decision on landscape planning process
5.To be able to know the development of the decision support system in the country and in the world.
Recommended or Required Reading
1.Malczewski, J. 1999. GIS and Multicriteria Decision Analysis
2.Malczewski, J. 1998. “Spatial Multi-Criteria Decision Analysis” in Thill, J-C (Ed. Spatial Multi-Criteria DecisionMaking and Analysis: A Geographic InformationSciences Approach. Brookfield, Ashgate: pp 11–48.
3.Nurlu E., 2002. Peyzaj Planlama Ders Notları. Ege Üniversitesi Ziraat Fakültesi Peyzaj Mimarlığı Bölümü, Bornova-İzmir
4.Peterson, K. 1998. Development of Spatial Decision Support Systems for Residential
5.Saaty, T. L ,1980. The Analytic Hierarchy Process. NY, McGraw Hill
6.Scholten, H. J., and Stillwell, J. C. H., editors, 1990. Geographical Information Systems for Urban and Regional Planning. Dordrecht: Kluwer Academic Publishers.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to course: content, reason, importance, process method and needs.
Week 2 - Theoretical
Landscape Planning Approaches, Landscape components and data analysis
Week 3 - Theoretical
Decision Support Concept (DSS) and Geographic Information Systems (GIS)
Week 4 - Theoretical
Multicriteria Decision Analysis (MCDA): Explanation of the method
Week 5 - Theoretical
Analytic Hierarchy Process (AHP): Explanation of the method
Week 6 - Theoretical
Analytic Hierarchy Process (AHP): Explanation of the method
Week 7 - Theoretical
Multicriteria Decision Analysis (MCDA) and Analytic Hierarchy Process (AHP)advantage and disadvantage
Week 8 - Theoretical
Midterm exam
Week 9 - Theoretical
Multicriteria Decision Analysis (MCDA): Case studies
Week 10 - Theoretical
Multicriteria Decision Analysis (MCDA): Case studies
Week 11 - Theoretical
Analytic Hierarchy Process (AHP): Case studies
Week 12 - Theoretical
Analytic Hierarchy Process (AHP): Case studies
Week 13 - Theoretical
Multicriteria Decision Analysis (MCDA) and Analytic Hierarchy Process (AHP);result and evaluation
Week 14 - Theoretical
Multicriteria Decision Analysis (MCDA) and Analytic Hierarchy Process (AHP);result and evaluation
Week 15 - Theoretical
Multicriteria Decision Analysis (MCDA) and Analytic Hierarchy Process (AHP);result and evaluation
Week 16 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory1483154
Midterm Examination120121
Final Examination124125
TOTAL WORKLOAD (hours)200
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
OÇ-1
4
5
5
5
2
OÇ-2
4
5
5
5
2
OÇ-3
4
5
5
5
2
OÇ-4
4
5
5
5
2
OÇ-5
4
5
5
5
2
Adnan Menderes University - Information Package / Course Catalogue