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;
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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. |
Related Sustainable Development Goals | |
| Core Courses | |
Major Area Courses | X | |
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
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 |
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Suggested Readings/Materials |
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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 Exam | ||
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 |
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 | 8 | 2 | 16 |
Field Work | |||
Quizzes / Studio Critiques | 5 | 2 | |
Portfolio | |||
Homework / Assignments | |||
Presentation / Jury | |||
Project | 1 | 10 | |
Seminar / Workshop | |||
Oral Exam | |||
Midterms | |||
Final Exams | 1 | 10 | |
Total | 110 |
# | 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.
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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 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