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 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

• 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

• Architects
• Industrial Product Designers
• Interior Designers
• Landscape Architects
• Computer Engineers
• Informatics Engineers
• Electrical Engineers
• Electronics Engineers

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).

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 542   Multimedia in Design

MBL 547E Geospatial Data Acquisition and Processing in Architecture

MBL 549E Special Topics in Architectural Design Computing

MBL 550E Design Cognition

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

>  Course Schedules

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

>  Course Schedules