COURSE DESCRIPTION AND APPLICATION INFORMATION
| Course Name | Code | Semester | T+A+L (hour/week) | Type (C / O) | Local Credit | ECTS |
|---|---|---|---|---|---|---|
| Design Computation | ARC 216 | Spring | 01+02+00 | Elective | 2 | 3 |
| Academic Unit: | Faculty of Art and Design Department of Architecture |
| Mode of Delivery: | Face to face |
| Prerequisites: | None |
| Language of Instruction: | English |
| Level of Course Unit: | Undergraduate |
| Course Coordinator: | - - |
| Course Objectives: | The course introduces second-year architecture students to the principles and techniques of computational design, integrating digital tools and algorithms into the architectural design process. The curriculum covers an overview of computational design, algorithmic thinking, and logic, along with programming languages like Python and Grasshopper. |
| Course Contents: | Students will learn parametric design fundamentals, creating parametric models using software like Rhino and Grasshopper, and explore generative design concepts to generate multiple design solutions. The course includes optimization techniques for enhancing design performance and efficiency, digital fabrication methods such as 3D printing and CNC milling, and the integration of computational design with these processes. Case studies and applications of successful computational design projects will be analyzed, and hands-on projects will allow students to apply computational design principles. Additionally, students will gain proficiency in industry-standard software tools and learn techniques for collaboration and communication in computational design projects. By the end of the course, students will have a solid understanding of computational design principles and be prepared to integrate these techniques into their future architectural projects and studies. |
| Learning Outcomes of the Course Unit (LO): |
|
| Planned Learning Activities and Teaching Methods: | Weekly assignments, presentations, intermittent class workshops |
WEEKLY SUBJECTS AND RELATED PREPARATIONS
| Week | Subjects | Related Preperation |
|---|---|---|
| 1 | Introduction Presentation | |
| 2 | M1: Computational Modeling | Group work |
| 3 | M1: Computational Modeling | Individual work |
| 4 | M1: Computational Modeling | Individual work |
| 5 | M1: Computational Modeling | Individual work |
| 6 | M2: Parametric Design & Scripting | Group work |
| 7 | M2: Parametric Design & Scripting | Models |
| 8 | M2: Parametric Design & Scripting | Models |
| 9 | M2: Parametric Design & Scripting | Individual work |
| 10 | M3: Digital Fabrication | Group work |
| 11 | M3: Digital Fabrication | Individual work |
| 12 | M3: Digital Fabrication | Individual work |
| 13 | M3: Digital Fabrication | Presentation Boards |
| 14 | Final Project Submissions |
At Kadir Has University, a Semester is 14 weeks; The weeks 15 and 16 are reserved for final exams.
REQUIRED AND RECOMMENDED READING
| Hugh Dutton and Peter Rice (1995) Structural Glass Mel Byars (1999) Desıgn In Steel Daniela Bertol, (2011) Form Geometry Structure: From Nature To Design Achim Menges, (2012) Material Computation Terri Peters, Brady Peters (2013) Insıde Smartgeometry: Expanding the Architectural Possibilities of Computational Design Fabio Gramazio, Matthias Kohler and Silke Langenberg (eds.) (2014) Fabricate: Negotiating Design And Making Lisa Iwamoto (2009), Digital Fabrications: Architectural and Material Techniques Achim Menges, Tobias Schwinn, Oliver David Krieg (2016) Advancing Wood Architecture Christopher Beorkrem (2012), Material Strategies in Digital Fabrication 1st Edition Branko Kolarevic (2005), Architecture in the Digital Age: Design and Manufacturing 1st Edition Dimitris Kottas (2010), Contemporary Digital Architecture: Design and Techniques |
OTHER COURSE RESOURCES
ASSESSMENT METHODS AND CRITERIA
| Semester Requirements | Number | Percentage of Grade (%) |
|---|---|---|
| Attendance / Participation | 14 | 10 |
| Project | 3 | 50 |
| Final Exam | 1 | 40 |
| Total: | 18 | 100 |
WORKLOAD
| Events | Count | Duration (Hours) | Total Workload (hour) |
|---|---|---|---|
| Course Hours | 14 | 3 | 42 |
| Project | 3 | 7 | 21 |
| Final Exam | 1 | 12 | 12 |
| Total Workload (hour): | 75 | ||
1 ECTS = 25 Hours Workload
THE RELATIONSHIP BETWEEN COURSE LEARNING OUTCOMES (LO) AND PROGRAM QUALIFICATIONS (PQ)
| # | PQ1 | PQ2 | PQ3 | PQ4 | PQ5 | PQ6 | PQ7 | PQ8 | PQ9 | PQ10 |
| LO1 | ||||||||||
| LO2 | ||||||||||
| LO3 | ||||||||||
| LO4 |
Contribution: 1 Low, 2 Average, 3 High