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;
|
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. |
| Core Courses | |
Major Area Courses | X | |
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
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 |
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 |
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 |
# | 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