COURSE UNIT TITLE

: MULTI-CRITERIA DECISION ANALYSIS IN GIS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
GIS 5044 MULTI-CRITERIA DECISION ANALYSIS IN GIS ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ÇIĞDEM TARHAN

Offered to

GEOGRAPHICAL INFORMATION SYSTEMS
GEOGRAPHICAL INFORMATION SYSTEMS - NON THESIS (EVENING PROGRAM)
GEOGRAPHIC INFORMATION SYSTEMS
Geographical Information Systems (Non-Thesis)

Course Objective

The main objective of this course is to teach to the students how they can manage, analyze and use multi-data using GIS approaches. Geographical or spatial data are defined as undigested, unorganized and unevaluated material that can be associated with a location. In this context, students will learn by this course when data are organized, presented, analyzed, interpreted and considered useful for a particular decision problem, they become information.

Learning Outcomes of the Course Unit

1   The students who succeeded in this course will be able to identify various data types and formats and how data is collected
2   The students who succeeded in this course will be able to learn how to use a quantitative data analysis software tool
3   The students who succeeded in this course will be able to use different multicriteria decision making methods
4   The students who succeeded in this course will be able to structure and model decision making problems
5   The students who succeeded in this course will be able to solve real world problems having conflicting criteria.
6   The students who succeeded in this course will be to improve the quality of the decisions they make in managerial and personal decisions

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Geographical Data, Information and Decision Making GIS and Multicriteria Decision Analysis, Jacek Malczewski, John Wiley&Sons,Inc, New York, USA, 1999.
2 Basic statistical concepts and methods J. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques, Second Edition, 2nd ed. Morgan Kaufmann, 2006
3 Introduction to Multicriteria Decision Analysis Structuring Decisions Belton, V., Stewart, T.J. 2003. Multiple Criteria Decision Analysis: An Integrated Approach, Kluwer Academic Publishers, Dordrecht.
4 Evaluation Criteria GIS and Multicriteria Decision Analysis, Jacek Malczewski, John Wiley&Sons,Inc, New York, USA, 1999.
5 Decision Alternatives and Constraints GIS and Multicriteria Decision Analysis, Jacek Malczewski, John Wiley&Sons,Inc, New York, USA, 1999.
6 Criterion Weighing GIS and Multicriteria Decision Analysis, Jacek Malczewski, John Wiley&Sons,Inc, New York, USA, 1999.
7 Decision Rules GIS and Multicriteria Decision Analysis, Jacek Malczewski, John Wiley&Sons,Inc, New York, USA, 1999.
8 Introduction to GIS GIS and Multicriteria Decision Analysis, Jacek Malczewski, John Wiley&Sons,Inc, New York, USA, 1999.
9 Sensitivity Analysis GIS and Multicriteria Decision Analysis, Jacek Malczewski, John Wiley&Sons,Inc, New York, USA, 1999.
10 Spatial Decision Support Systems Belton, V., Stewart, T.J. 2003. Multiple Criteria Decision Analysis: An Integrated Approach, Kluwer Academic Publishers, Dordrecht.
11 MC-SDSS: Case Studies GIS and Multicriteria Decision Analysis, Jacek Malczewski, John Wiley&Sons,Inc, New York, USA, 1999.
12 Project Evaluation
13 Project Evaluation
14 Project Evaluation

Recomended or Required Reading

GIS and Multicriteria Decision Analysis, Jacek Malczewski, John Wiley&Sons,Inc, New York, USA, 1999.

J. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques, Second Edition, 2nd ed. Morgan Kaufmann, 2006

Belton, V., Stewart, T.J. 2003. Multiple Criteria Decision Analysis: An Integrated Approach, Kluwer Academic Publishers, Dordrecht.

Planned Learning Activities and Teaching Methods

Reading the related parts of the course material each week, attending the course and participating in class discussions are the requirements of the course.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 PRJ PROJECT
2 MTE MIDTERM EXAM
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE PRJ * 0.30 + MTE * 0.30 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) PRJ * 0.30 + MTE * 0.30 + RST * 0.40


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

Presentation - % 30
MidTerm - % 30
Final - & 40

Language of Instruction

English

Course Policies and Rules

Student responsibilities
Reading the related parts of the course material each week, attending the course and participating in class discussions are the requirements of the course. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can obtain the graduate policy at www.fbe.deu.edu.tr

Contact Details for the Lecturer(s)

Assist.Prof.Dr. Çiğdem TARHAN
cigdem.tarhan@deu.edu.tr
tel: 0 232 301 05 11

Office Hours

Wednesday 09.00-11.00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Reading 13 7 91
Final 1 22 22
MidTerm 1 12 12
Project Evaluation 1 22 22
TOTAL WORKLOAD (hours) 175

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.143515243324
LO.233352334421
LO.344525441214
LO.413312152343
LO.541441333444
LO.655334415115

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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