ARCHITECTURAL DESIGN COMPUTING PROGRAM
PROGRAM OVERVIEW
Architectural Design Computing is a graduate program under the Department of Informatics, provides training in master and doctorate levels. For more info, please visit the ITU Graduate School website.
RESEARCH AREAS
- Research on the Tools, Products, and Media as well as Modeling Approaches and Paradigms that Enhance and Facilitate Theoretical and Applied Studies in the Intersection of Architecture and Information Technologies
- Concepts Emerging in Parallel with the Developments in the Intersection of IT and Design Disciplines: Cyberspace, Virtual Reality, Interaction Design, Communication, Interface Design, Embedded or Pervasive Environment, Metaverse, MR, VR, AR XR in Architecture, Internet of things and built environment
- Computational Design Methods
- Artificial Intelligence in Architecture
- Robotic tectonics, automation, and interaction
- Generative Approaches, Shape Grammars and Fractals in Architectural Design
- Genetic, Nanotechnological, Evolutionary and Generative Approaches in Architectural Design
- Design and Representation in Multimedia and Web Environments
- Remote Sensing and Spatial Data Processing
- Data Mining in Architecture
- Theory of Space with regards to Information Technologies
- Cognitive Processes, Their Extensions and Related Tools in Architectural Design
- Building Information Models
RESOURCES
- Virtual Design Studio (VDS): Computers, Laser Printers, A4 Color Printer, A4 Scanner, Video Conference System, Web Cameras, 3D Mouse, A4 Graphical Tablet
- Faculty Computer Labs
- Laser Cutter and Rapid Prototyping
- 3-Axis CNC-Milling
- KUKA KR 2100
WHO CAN APPLY?
- Architects
- Industrial Product Designers
- Interior Designers
- Landscape Architects
- Computer Engineers
- Informatics Engineers
- Electrical Engineers
- Electronics Engineers
GRADUATION REQUIREMENTS
For Master’s, accepted and registered students, with counsel from their advisor, have to successfully complete 4 must courses of the program, one of which has to be MBL531E, 4 elective courses, the seminar MBL596, and thesis. It is advised that students complete the seminar in their 2nd or 3rd semester. Once their course load is complete, they can then register for a thesis. The thesis procedure is defined by ITU Graduate School. It is advised that each student publishes their research during their studies.
For a Doctoral degree, accepted and registered students, with counsel from their advisor, have to successfully complete 7 courses offered by the program, the seminar MBL696, and thesis. The thesis procedure is defined by ITU Graduate School. Doctoral candidates have to comply with the publication requirements as specified in ITU Graduate Education Regulations and Principles (İTÜ Lisansüstü Eğitim-Öğretim Yönetmeliği ve Esasları).
M.Sc. COURSES
MBL 511 Knowledge Based Architectural Design
MBL 512 Generative Systems in Architectural Design
MBL 513E Digital Architectural Design and Modeling
MBL 514E Digital Architectural Design Studio
MBL 515E Database Design and its Applications in Architecture
MBL 516E Interaction Tools and Environments in Digital Design
MBL 517E Digital Fabrication and Prototyping in Architectural Design
MBL 531E Computer Programming in Architecture
MBL 532 Graphics Programming in Architectural Design
MBL 533E Computer-Aided Architectural Design
MBL 537E Architectural Design Futures
MBL 538 Virtual Architectural Design Studio
MBL 540E Animation in Architectural Design
MBL 547E Geospatial Data Acquisition and Processing in Architecture
MBL 549E Special Topics in Architectural Design Computing
MBL 551E Digital Culture in Creative Industries
MBL 552 The City as a Data Mine
MBL 557E Material Based Computational Design in Architecture
MBL 596 Scientific Research Ethic and Seminar
MBL 597 Specialization Field Course
Ph.D. COURSES
MBL 601 Evolutionary Approaches in Architectural Design
MBL 602 Decision Support Systems in Architectural Design
MBL 604E Contemporary Architectural Design Theories
MBL 605 Special Topics in E-Motive Architecture
MBL 606E Computing Theories and Models in Architectural Design
MBL 607E Building Information Models
MBL 608E Visual-Spatial Cognition
MBL 609E Theory and Methods of Shape Computation in Design
MBL 611 Phenomenology and Hermeneutics in Computational Design
MBL 613E Research Paradigms in Architectural Computing
MBL 615E Soft Computing Methods in Architectural Design
MBL 616E Computer Vision Applications in Architectural Design
MBL 649E Special Topics in Architectural Design Computing
MBL 696 Scientific Research Ethic and Seminar
MBL 697 Specialization Field Course