GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
ARCHITECTURAL GENERATIVE DESIGN AT COMPUTER ENVIRONMENT/6371311
Course Title: ARCHITECTURAL GENERATIVE DESIGN AT COMPUTER ENVIRONMENT
Credits 3 ECTS 7.5
Semester 2 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Lec. Dr. Arzu ÖZEN YAVUZ
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/site/arzuozen
 -- EMAIL(S) OF LECTURER(S)
  arzuozen@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
To recognize the logic of rule-based ve derived design thinking in the design process, To meet students Research/discussions on generative approaches
In the light of generative approaches analysing of architectural designs and producing and diversifying new alternatives in the frame of rule based m
To determine necessary design rules and mathematical function that provide deriving of rules
To develop logic and skill of generative approach with the help of computer aided design tools
To make an implementation for developing a generative model by using a programming language
To get a judgmental attitude for evaluating contributions and deficiencies of generative approaches subject.



 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  M 538 Computational design theory and methods
 --COURSE CONTENT
1. Week  To give information about aim, scope and method of this course
2. Week  The logic of algorithmic thinking and turned design context
3. Week  Generative design concept
4. Week  Generative approaches developed for architectural design
5. Week  Generative approaches developed for architectural design languages and typologies
6. Week  Computer aided generative approach models developed for interpreting generative information used at architectural design process and the production of
7. Week   Generative approach models that question design information acquired via questioning the relationships between design elements.
8. Week  Definitions of modelling the generative process
9. Week  To determine rules that leading design in the context of generative process- Rule based design
10. Week  To give information about mathematical function for developing and deriving design
11. Week  To give information about programming languages
12. Week  To give information about programming languages
13. Week  Case study- CAAD sample
14. Week  Case study- CAAD sample
15. Week  
16. Week  
 -- RECOMMENDED OR REQUIRED READING
  CORMEN, T.H. (2001) Introduction to Algorithms. The MIT Press. GERO, J. (1994) Preface, in J. Gero & E. Tyugu (eds.) Formal Design Methods for CAD. Elsevier: Amsterdam. LAWSON, B. (1980), How Designers Think, London:Architectural Press . LINDENMAYER, A., PRUSINKIEWICZ, P. (1990). The Algorithmic Beauty of palnts,. New York: Springer-Verlag. MITCHELL, W., J., (1977), Computer-aided Architectural Design. New York:Petrocelli/Charter. STINY, G., (2006). Shape. Cambridge: MIT Press. TERZIDIS, K. (2003), Expressive Form: A Conceptual Approach to Computational Design, Taylor & Francis, Newyork. TERZIDIS, K. (2011) Algorithmic form, in A. Menges and S. Ahlquist (eds.) Computational Design Thinking, Wiley. WILLIAMS, C., (2004) Design by Algorithm, Digital Tectonic, United Kingdom: Wiley Academy.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer, Demonstration, Drill
 -- WORK PLACEMENT(S)
  Not Applicable
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
0
0
 Assignment
2
50
 Exercises
2
50
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
 Reading
14
3
42
 Searching in Internet and Library
10
3
30
 Designing and Applying Materials
10
3
30
 Preparing Reports
6
2
12
 Preparing Presentation
6
3
18
 Presentation
6
2
12
 Mid-Term and Studying for Mid-Term
0
 Final and Studying for Final
5
1
5
 Other
0
 TOTAL WORKLOAD: 
191
 TOTAL WORKLOAD / 25: 
7.64
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
11X
12X
13X
14X
15X
16X