The design process involves many stages. These processes can be classified as defining and analyzing the problem, preparing the design alternatives, determining the positive and negative aspects of the prepared alternatives and making the optimal solution. This course will examine the theories behind the decision support system that help designers make decisions. At the end of the course, students will learn to find, examine and evaluate the current decision support tools used in design. Students will also have knowledge of decision-making problems and analyzing the design process. In the course, it will be explained which tools or techniques can be used in the decision making and how these tools and techniques will be developed.
Prerequisite(s)
Corequisite(s)
Special Requisite(s)
Instructor(s)
DR. ÖĞR. ÜYESİ ESİN HASGÜL
Course Assistant(s)
Schedule
Office Hour(s)
Teaching Methods and Techniques
After teaching basic principles, small practices will be developed. Students will give seminars about their case studies which will be final project of the course. There will be two research works during the course.
Principle Sources
Friend, J., and Hickling, A., (1997), Planning Under Pressure: The Strategic Choice Approach. Butterworth-Heinemann, Oxford.
Expert Choice, Inc. (1995) User manual: Ecpro for windows: Decision support software, Pittsburgh, USA.
Moutinho, L., B. Curry, F. Davies and P. Rita (1994) Computer Modelling and Expert Systems in Marketing, Routledge, London
Saaty, T.L. (1981) The Analytic Hierarchy Process, McGraw-Hill, New York.
Saaty, T.L. (1981) The Analytic Hierarchy Process, McGraw-Hill, New York.Saaty, T.L. and J.M. Alexander (1989) Conflict Resolution - The Analytic Hierarchy Process, Praeger, new York.
Simon, H.(1960) The New Science of Management Decisions, Harper and Row, New York.
Arentze, T.A. (1999) A Spatial Decision Support System for the Planning of Retail and Service Facilities. Ph.D. Thesis. Eindhoven University of Technology.
Arentze, T.A., G.L. Lucardie, H. Oppewal, H.J.P. Timmermans (1996) A Functional Decision Table Based Approach to Multi-Attribute Decision Making. Paper presented at the 3rd International Conference on Retailing and Consumer Services Science held in Telfs/Buchen, Austria, 22-25 June, 1996.
CODASYL (1982) A modern appraisal of decision tables. Report of the decision table task group of the conference on data systems languages (CODASYL). New York, Association for Computing Machinery (ACM).
Lucardie, G.L. (1994) Functional object-types as a foundation of complex knowledge-based systems. Rijswijk, TNO Bouw, Ph.D. thesis.
Vanthienen, J. and E. Dries (1994) Illustration of a decision table tool for specifying and implementing knowledge based systems, International Journal on Artificial Intelligence Tools, 3, 267-288.
Vanthienen, J., G. Wets (1994) From decision tables to expert system shells, Data & Knowledge Engineering,13, 265-282.
Witlox, F. (1998) Modelling Site Selection: A relational Approach Based on Fuzzy Decision Tables, Eindhoven University of Technology, Ph.D. thesis.
Other Sources
Mendoza, G.A. and P. Macoun (1999) Guidelines for Applying Multi-Criteria Analysis to the Assessment of Criteria and Indicators. Center for International Forestry Research (CIFOR), Jakarta, Indonesa.
www.cifor.cgiar.org/acm/methods/toolbox9.html
Course Schedules
Week
Contents
Learning Methods
1. Week
Introduction to the course
Verbal expression
2. Week
Design theory and methods - I
Verbal expression
3. Week
Design theory and methods - II
Verbal expression
4. Week
Design process - I
Verbal expression
5. Week
Design process - II
Verbal expression and practice
6. Week
I.Research work
Seminar
7. Week
Principles of decision support systems - I
Verbal expression
8. Week
Principles of decision support systems - II
Verbal expression
9. Week
Basic decision support systems
Verbal expression
10. Week
Advanced decision support systems
Verbal expression
11. Week
II.Research work
Seminar
12. Week
Developing a decision system - I
Practice
13. Week
Developing a decision system - II
Practice
14. Week
Developing a decision system - III
Practice
15. Week
16. Week
17. Week
Assessments
Evaluation tools
Quantity
Weight(%)
Homework / Term Projects / Presentations
2
30
Practice
3
30
Final Exam
1
40
Program Outcomes
PO-1
Having knowledge to produce critical and original work in the fields of architectural theory, design methods and design philosophy. (KNOWLEDGE)
PO-2
Having knowledge to produce critical and original work in the fields of social and cultural geography and on the concepts of space and time. (KNOWLEDGE)
PO-3
Having knowledge to produce critical and original work in the field of built environment and human/society relationship within the framework of human-environment-behaviour. (KNOWLEDGE)
PO-4
Ability to direct the experience gained from architectural design and other knowledge areas to new fields and generate strategies. (ABILITY)
PO-5
Ability to conduct research, examination, interpretation; to use adequate techniques and produce original results in the field of academic knowledge and design process. (ABILITY)
PO-6
Ability to use the theoretical and practical knowledge of architectural design referring to undergraduate competence. (ABILITY)
PO-7
Competence for analyzing and interpreting architectural products within the framework of architectural concepts. (COMPETENCE)
PO-8
Competence for relating architectural design, architectural theory and building construction with social sciences and humanities such as psychology, philosophy and political economy. (COMPETENCE)
PO-9
Competence for presenting a work - made individually or in a group- systematically, in a foreign language, using the required computer programs, verbal, written and visual. (COMPETENCE)
PO-10
Competence for conducting an original academic/scientific study. (COMPETENCE)
Learning Outcomes
LO-1
Understaning of design theory and methods
LO-2
Advanced study of design process
LO-3
Understanding of design decision support systems
LO-4
Using design decision support tools
LO-5
Developing design decision support tools for design problems
