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| MIM2018 | Computational Modeling in Architecture II | 2+0+0 | ECTS:4 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Elective | | Department | DEPARTMENT of ARCHITECTURE | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face, Practical | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Prof. Dr. Serbülent VURAL | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To make students acquire analytic approach to design problems by utilizing computational modeling software and integrate computational tools to architectural design process. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | How to use math functions and graphs to create forms | 1 - 3 | 3,4 | | LO - 2 : | How to test a surface for whether it?s possible to produce | 1 - 3 | 3,4 | | LO - 3 : | How to parametrically analyze a form based on site restrictions | 1 - 3 | 3,4 | | LO - 4 : | How to produce parametric architectural forms | 1 - 3 | 3,4 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| The lecture focuses on teaching how to approach analytically to design phase. It covers creation of architectural forms by utilizing mathematical functions and graphics, and also analyzation of data derived from architectural form. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Course introduction, Grasshopper interface | | | Week 2 | Form creation by utilizing mathematical functions | | | Week 3 | Transformation by utilizing mathematical graphs | | | Week 4 | Finalization of form | | | Week 5 | Creation of parametric profile curves | | | Week 6 | Creation of surface from profile curves | | | Week 7 | Planarity analyses of surfaces | | | Week 8 | Advanced list and data management | | | Week 9 | Mid-term exam | | | Week 10 | Creation of bounding volumes based on site restrictions | | | Week 11 | Placing floor plans into a study model. | | | Week 12 | Extracting data from study model and exporting it to spreadsheet software | | | Week 13 | Example project | | | Week 14 | Example project | | | Week 15 | Example project | | | Week 16 | Final exam | | | |
| 1 | Grasshopper Primer, Payne, A., 2009, http://www.liftarchitects.com/s/Grasshopper-Primer_Second-Edition_090323-rn88.pdf | | | 2 | Generative Algorithms with Grasshopper, Khabazi, Z., 2012, http://files.na.mcneel.com/misc/Generative Algorithms v2.zip | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 2017 | 1 | 50 | | End-of-term exam | 16 | 2017 | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 2 | 14 | 28 | | Sınıf dışı çalışma | 5 | 14 | 70 | | Arasınav için hazırlık | 5 | 1 | 5 | | Arasınav | 1 | 1 | 1 | | Ödev | 1 | 1 | 1 | | Dönem sonu sınavı için hazırlık | 7 | 1 | 7 | | Dönem sonu sınavı | 2 | 1 | 2 | | Total work load | | | 114 |
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