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 Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction: parametric design
2 Introduction to Rhinoceros assignment 01
3 Introduction to Grasshopper assignment 02
4 Data stream matching assignment 03
5 Data management assignment 04
6 Vectoral transformations assignment 05
7 Parametric equation & domain assignment 06
8 Computable functions assignment 07 + reading 01
9 Generative systems assignment 08 + reading 02
10 Self-organization assignment 09 + reading 03
11 Material systems assignment 10 + reading 04
12 Responsive strategies reading 05
13 Design and fabrication final project preparation
14 Final project presentation
15 Review of the Semester  
16 Review of the Semester  
Course Notes/Textbooks Required reference materials will be given weekly
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
14
20
Laboratory / Application
Field Work
Quizzes / Studio Critiques
2
10
Portfolio
Homework / Assignments
8
30
Presentation / Jury
Project
1
20
Seminar / Workshop
Oral Exam
Midterm
Final Exam
1
20
Total

Weighting of Semester Activities on the Final Grade
25
80
Weighting of End-of-Semester Activities on the Final Grade
1
20
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
2
Study Hours Out of Class
6
2
Field Work
Quizzes / Studio Critiques
2
Portfolio
Homework / Assignments
8
2
Presentation / Jury
2
Project
1
10
Seminar / Workshop
Oral Exam
Midterms
Final Exams
1
4
    Total
106

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

Ability to apply theoretical and technical knowledge in architecture.

X
2

Ability to understand, interpret and evaluate architectural concepts and theories.

X
3

Ability to take on responsibility as an individual and as a team member to solve complex problems in the practice of architecture.

 

X
4

Critical evaluation of acquired knowledge and skills to diagnose individual educational needs and to direct self-education.

X
5

Ability to communicate architectural ideas and proposals for solutions to architectural problems in visual, written and oral form.

X
6

Ability to support architectural thoughts and proposals for solutions to architectural problems with qualitative and quantitative data and to communicate these with specialists and non-specialists.

X
7

Ability to use a foreign language to follow developments in architecture and to communicate with colleagues.

X
8

Ability to use digital information and communication technologies at a level that is adequate to the discipline of architecture.

X
9

Being equipped with social, scientific and ethical values in the accumulation, interpretation and/or application of architectural data.

X
10

Ability to collaborate with other disciplines that are directly or indirectly related to architecture with basic knowledge in these disciplines.

X

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

 

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