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Programming for Architects

What Will Learn?

  • Course Aims
    - Empower architecture students with computational design skills - Enable students to use programming and scripting to enhance their design capabilities, automate repetitive tasks, and create innovative and adaptive architectural solutions.
  • Course Goals
  • Decent Work and Economic Growth
  • Industry, Innovation and Infrastructure

Requirements

Description

  • English Description

    Data modeling, analyzing statistical data, data interpretation, algorithmic thinking, implementing algorithms, basics of programming and scripting, form generation process, programming languages supported by 3d Modeling, fabrication, 3D printing
  • Arabic Description

    نمذجة البيانات، تحليل البيانات الإحصائية، تفسير البيانات، التفكير الخوارزمي، تنفيذ الخوارزميات، أساسيات البرمجة ، عملية إنشاء النماذج، لغات البرمجة المدعومة بالنمذجة ثلاثية الأبعاد، التصنيع، الطباعة ثلاثية الأبعاد
  • Department
    Architecture Engineering
  • Credit Hours
    2
  • Grades
    Total ( 100 ) = Midterm (15) + tr.Major Assessment (45 = tr.Industry 0% , tr.Project 30% , tr.Self_learning 10% , tr.Seminar 5% ) + tr.Minor Assessment (5) + tr.Oral/Practical (35) + Exam Grade (0)
  • Hours
    Lecture Hours: 1, Tutorial Hours: 2, Lab Hours: 1
  • Required SWL
    75
  • Equivalent ECTS
    3
  • - Algorithmic Architecture, by Kostas Terzidis, Routledge, 2016 Reynolds RA.
  • - Bachman, D. (2017). Grasshopper: Visual Scripting for Rhinoceros 3D. Industrial Press.
  • - McKinney, W. (2022). Python for data analysis. " O'Reilly Media, Inc.".‏
  • - Bohnacker, H., Gross, B., Laub, J., & Lazzeroni, C. (2012). Generative design: visualize, program, and create with processing. Princeton Architectural Press.‏‏