FACULTY OF FINE ARTS AND DESIGN

Department of Architecture

ARCH 322 | Course Introduction and Application Information

Course Name
Introduction to Computational design
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
ARCH 322
Fall/Spring
2
2
3
4

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives The main objective of the course is to help students gain the intellectual skills that are necessary within the realm of digital design practice in architecture. The ways of computational thinking will be introduced and experienced through exercises which focus on computational problem solving, cognitive models, generative systems, shape grammars, spatial configurations and design tool development. “Learning by doing” is a crucial approach for the course. Therefore the course content will be performed through workshops and design assignments which will be worked by using and developing several types of design tools from manual to digital.
Learning Outcomes The students who succeeded in this course;
  • Student will be able to classify the forms of computational thinking and their use in the field of design.
  • Student will be able to experience parametric and relational thinking in design.
  • Student will be able to gather information about various digital tools used in architectural design.
  • Student will be able to apply the necessary fundamental skills for digital design tools and practices.
  • Student will be able to observe various computational design applications.
Course Description The course is conducted in order to make students gain knowledge and experience in computational thinking in the field of design. The workshops that will provide these experiences are fundamental. Following the simple theoretical briefings on the fundamental issues, the students will experience by working on the given design problems. Through the semester students are expected to fulfill and present the workshop assignments.

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction to Computational/Computational Design Beginning of Project 1
2 Analogue Computational Design Introduction to Rhinoceros Grasshopper Basics Review of Studio Works/ In-Class Assignments
3 Digital Computational Design Introduction to Grasshopper Project 1 Preparation
4 Bottom-Up Design Approach Data/Geometry Formation in Grasshopper End of Project 1/ Beginning of Project 2 Reading 01_ Review of Project 1
5 Data/Geometry Management in Grasshopper Design of Project 2/ Pyshical Component Formation Review of Studio Works/ In-Class Assignments
6 Data/Geometry Manipulation in Grasshopper Design of Project 2/ Digital Formation of the Component Review of Studio Works/ In-Class Assignments
7 Meronymy and Its simulations Design of Project 2/ Digital Formation of the Component Project 2 Preparation
8 Digital Fabrication Process and Assembly of Components Project 2 Preparation
9 Top-Down Design Approach Computational Form Finding Methods End of Project 2/ Beginning of Final Project Reading 02- Review of Project 2
10 Computational Surface Formations in Grasshopper Meronymy Final Project Design/Surface Design Reading 03- Review of Studio Works/ In-Class Assignments
11 Rationalization Process of Form in Grasshopper Meronymy Final Project Design Reading 04- Review of Studio Works/ In-Class Assignments
12 Rationalization Process of Form in Grasshopper Adaptive Components Final Project Design Review of Studio Works/ In-Class Assignments
13 Computational Fabrication Process in Grasshopper Adaptive Components Digital Fabrication Process and Assembly of Final Project Final Preparation
14 Final project presentation Final Preparation
15 Final
16 Final

 

Course Notes/Textbooks
  • Computational Design Thinking: Computation Design Thinking 1st Edition, 9780470665657
  • Generative Design: Form-finding Techniques in Architecture (Form + Technique), 9781780676913
  • Algorithmic Architecture 1st Edition, 9780750667258
  • AAD Algorithms-Aided Design: Parametric Strategies using Grasshopper, 9788895315300
Suggested Readings/Materials
  • Lynn, Greg. New variations on the Rowe Complex, published at Greg Lynn: Folds, bodies and Blobs: collected essays, ANY Magazine no:7/8, page 199-221
  • Thompson, Darcy. On Growth and Form, 1942, Dover Reprint
  • Stiny, George. Introduction to Shape and Shape Grammars, Environment and Planning B, 1980, volume 7, pages 343-351
  • Menges, Achim., Hensel, Michael. Morpho-ecologies, Architectural Association, 2006
  • Menges, Achim. Polymorphism, AD March 2006
  • Weinstock, Michael. Self Organisation and Material Constructions, AD March 2006
  • Leach, Neil, AD Digital Cities, Wiley Academy, 2009
  • Burry, Mark. Scripting Cultures, AD June 2011
  • Mitchell, J. William, The Logic of Architecture: design, computer and cognition, MIT Press,1994, chapter 5-8, page: 73-181

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
25
Laboratory / Application
Field Work
Quizzes / Studio Critiques
5
20
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
25
Seminar / Workshop
Oral Exams
Midterm
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
7
70
Weighting of End-of-Semester Activities on the Final Grade
1
30
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
2
32
Study Hours Out of Class
8
2
16
Field Work
0
Quizzes / Studio Critiques
5
2
10
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
1
10
10
Seminar / Workshop
0
Oral Exam
0
Midterms
0
Final Exam
1
10
10
    Total
110

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able to offer a professional level of architectural services.

X
2

To be able to take on responsibility as an individual and as a team member to solve complex problems in the practice of design and construction.

X
3

To be able to understand methods to collaborate and coordinate with other disciplines in providing project delivery services.

 

4

To be able to understand, interpret, and evaluate methods, concepts, and theories in architecture emerging from both research and practice.

X
5

To be able to develop environmentally and socially responsible architectural strategies at multiple scales. 

X
6

To be able to develop a critical understanding of historical traditions, global culture and diversity in the production of the built environment.

X
7

To be able to apply theoretical and technical knowledge in construction materials, products, components, and assemblies based on their performance within building systems.

X
8

To be able to present architectural ideas and proposals in visual, written, and oral form through using contemporary computer-based information and communication technologies and media.

X
9

To be able to demonstrate a critical evaluation of acquired knowledge and skills to diagnose individual educational needs and direct self-education skills for developing solutions to architectural problems and design execution.

X
10

To be able to take the initiative for continuous knowledge update and education as well as demonstrate a lifelong learning approach in the field of Architecture.

X
11

To be able to collect data in the areas of Architecture and communicate with colleagues in a foreign language ("European Language Portfolio Global Scale", Level B1)

X
12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To be able to relate the knowledge accumulated throughout the human history to their field of expertise. 

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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