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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. Computational design and fabrication tools are experienced with the applications.
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| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | Students will learn how to design and model by computational modeling tools with graphical interface | 1,2,3 | 3,4 | | LO - 2 : | Students will learn how to fabricate what they model | 1,2,3 | 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. Within the context of the lecture computational design and fabrication processes are taught with learning by doing exercises.
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Course introduction, general information about Grasshopper plug-in | | | Week 2 | Shape grammar application | | | Week 3 | Shape grammar - CNC laser cutting application | | | Week 4 | Pattern study | | | Week 5 | Grasshopper model of pattern study | | | Week 6 | Attractor study | | | Week 7 | Form finding application | | | Week 8 | An application in Computational Design and Fabrication Laboratory | | | Week 9 | Midterm | | | Week 10 | Mould making application | | | Week 11 | Parametric mutation application | | | Week 12 | Final study | | | Week 13 | Final study | | | Week 14 | Final study | | | Week 15 | Final study | | | 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 | 2022 | 1 | 50 | | End-of-term exam | 16 | 2022 | 1 | 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 | 2 | 14 | 28 | | Laboratuar çalışması | 0 | 0 | 0 | | Arasınav için hazırlık | 5 | 1 | 5 | | Arasınav | 1 | 1 | 1 | | Uygulama | 2 | 6 | 12 | | Klinik Uygulama | 0 | 0 | 0 | | Ödev | 2 | 14 | 28 | | Proje | 2 | 5 | 10 | | Kısa sınav | 0 | 0 | 0 | | Dönem sonu sınavı için hazırlık | 6 | 1 | 6 | | Dönem sonu sınavı | 2 | 1 | 2 | | Diğer 1 | 0 | 0 | 0 | | Diğer 2 | 0 | 0 | 0 | | Total work load | | | 120 |
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