Architectural Design Computing Program 
 

Prof. Dr. Gülen ÇAĞDAŞ, Dr. Ethem Gürer

Language: Turkish   Type: Elective  Credit: (3+0)  Term: Fall

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Course Description: Usage of genetic algorithms in architectural design, genetic architecture; Generation of forms in digital architectural design, and sample models; Genetic algorithms in creative architectural design and role of evolutionary design; Genetic evolution; Terminology of genetic algorithms; Genetic algorithm technique and phases; Genetic algorithm operators;  Genetic algorithm parameters; Evolution in design process; Evolutionary design optimization, evolutionary art; Creative evolutionary design; Evolutionary approaches in design process; Evolutionary healing in design; Evolution of solids, object design, Interactive evolutionary computation model; Evolutionary approaches in creativity; Evolutionary idea searches; Integrated evolutionary design; Biomimesis, Lindenmayer systems, cellular automata and emergent systems in architecture; Evolution of house design, shape evolution, floor plan design model; Evaluation of creative design; Evolutionary model examples for creative design.enerative knowledge;  Different generative design approaches and models; Components regarding architectural design product and design process, design elements, relationships between design elements and operators used in computer aided design process; Shape grammar and design grammar approaches; Design grammar types and structures; Defining the rule-sets of architectural languages and generation process of designs; Fractal geometry and its role in architectural design; Approaches regarding generation of fractal designs and patterns within computing environment; Parametric generative system application in architecture; Development of a generative model by using a computer programming language.

Prof. Dr. Gülen ÇAĞDAŞ

Language: Turkish   Type: Elective Credit: (3+0)  Term: Spring

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Course Description: Artificial intelligence, application areas of artificial intelligence; Artificial intelligence in architecture; Expert systems; Decision support systems and examples of its usage in architecture; Agents and agent definition, properties, agent environment; Types of agents; multi-agent decision support systems; Communication in multi-agent systems, message types, communication levels; Communication protocols; Coordination between agents; Learning systems in agent systems; Agents and experience; rule-based behavior; Constructive memory system, agent societies, communication, society, group impact; Self-organization; Models of multi-agent decision support systems in architectural design; Agent development tools and platforms.knowledge representation and interpretation in computer aided architectural design;  Expert systems in architectural design: properties, structure and components;  Reasoning, search for a solution and control strategies in expert systems;  Application areas of expert systems in architectural design;  Space planning approaches with knowledge based architectural design systems; Application examples.

Prof. Dr. Arzu ERDEM

Language: English  Type: Elective  Credit: (3+0)  Term: Spring

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Course Description: Theory, practice, discourse, paradigm, model, manifesto: definition and critical discussion in the architecture culture context; Comparison of the built environment and architecture in, Modern and Post Modern periods; Interactions with other disciplines; 60 s:before and after: A critical discussion and evaluation based on the writings of Adorno, Simmel, Heidegger, Baudrillard, Habermas, Derrida, Eco, Foucault, Lyotard, Tafuri and products and discourses of contemporary architectural designers; Discussions on the architectural object and medium through movies. Information technologies and discussions on the digitally enhanced architectural objects through works and discourses of Eisenmann, Lynn , Chu , Oesterhuis, Novak. 

Assoc. Prof. Dr. Yüksel DEMİR

Language: Turkish   Type: Elective Credit: (3+0)  Term: Fall

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Course Description: Investigating current e-motive architectural subjects; The impacts of digital technologies on contemporary architecture; Transformations generated by digital technologies in theoretical and practical areas of architecture; Interactive and responsive products for digitally driven architectures; Developments in innovative architecture.

Prof. Dr. Mine ÖZKAR

Language: English   Type: Elective  Credit: (3+0)  Term: Spring

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Course Description: Computable problems and complex problems in design; designers’ cognitive studies; design thinking and formal methods of design; comparative analysis of generative systems; design tool development; seamless data integration in AEC collaboration; building product models and real time performance evaluation.

Assist. Prof. Dr. Ozan Ö. ÖZENER

Language: English   Type: Elective  Credit: (3+0)  Term: Fall

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Course Description: Building Information Modeling (BIM) proposes a new approach of designing, documenting, constructing and maintaining buildings. It has a significant impact on most business processes taking place in building firms. This course will inform students about the conceptual framework of BIM and the technologies and standards involved with it. The course aims at understanding how BIM affects business processes in firms by focusing on its implementation in various design, construction and facility management firms in collaborative settings.

Lec. Dr. Elif S. YAĞMUR KİLİMCİ

Language: English  Type: Elective  Credit: (3+0)  Term: Spring

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Course Description: Visual perception; visual attention and search; visual imagery; the natures of mental images (or the mental representations that involve visual information); visual memory; the interaction(s) between mental and external visualizations; space perception, the navigation and way finding in different scales of spaces; spatial memory; spatial mental representations constructed on the basis of different forms of spatial information; individual differences in visual (imagery) and spatial abilities and design; the external visuo-spatial (visuospatial) representations in design (gestures, 3 dimensional models, diagrams, sketches) and visuospatial reasoning in design- the roles that these external representations play in reasoning about the visuospatial aspects of a design.

Prof. Dr. Mine ÖZKAR

Language: English   Type: Elective  Credit: (3+0)  Term: Fall

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Course Description: Issues and problems in shape computation in design; phenomenological approaches to mathematics (of shapes); part-whole relations of shapes; part detection problem in shape computation; shape and weight algebras; shape computation based on intrinsic properties of shapes.

Language: Turkish/English  Type: Must  Credit: (4+0) Non-credit Term: Fall/Spring

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Course Description: Investigation on study fields and developments on these study fields as well as following scientific publications of all students, under the supervision of an advisor, who are progressing their Ph.D. thesis.

Dr. Ethem GÜRER

Language: Turkish   Type: Elective  Credit: (3+0)  Term: Fall

Course Description: Architectural design and interpretation; cardinal theories in the field of phenomenology and hermeneutics; concept of interpretation and its modalities: critical discussions and evaluations based on Heidegger’s, Ricoeur’s, Eco’s, Van Manen’s and Ihde’s writings; rules in architectural design and interpretation; re-understanding design tools, processes and objects through developing technologies; experience and computational thinking.

Assist. Prof. Dr. Ozan Ö. ÖZENER, Lec. Dr. Elif S. YAĞMUR KİLİMCİ 

Language: English   Type: Elective  Credit: (3+0)  Term: Fall

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Course Description: Research in architectural computation: theory, philosophy and objectives; identifying a research topic, brainstorming research questions, concept mapping, hypotheses, critical/analytical thinking, reasoning, argument building; literature survey, interpretation and contextualizing research, validation, verification/falsification, overview of types of research methods; overview of qualitative research methods; qualitative research techniques and data collection; qualitative data analysis and interpretation; overview of quantitative research methods; quantitative techniques and data collection; statistical analysis in quantitative research; simulations and simulative research.

Assist. Prof. Dr. Hülya YALÇIN, Dr. Onur Nizam SÖNMEZ 

Language: English   Type: Elective  Credit: (3+0)  Term: Fall

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Course Description: Analysis of computer vision algorithms particularly for architectural design applications; An introduction to the theory and practice of computer vision; The analysis of the patterns in visual images with the view to understanding the objects and processes in the world that generate them. Optics theory, image representation, feature extraction, image processing, object recognition, feature selection, probabilistic inference, perceptual analysis and organization, segmentation, feature-based alignment, 3D depth data processing. Applications of algorithms, related with vision, by using simulation tools for solving real image processing problems of architectural design.

Assist. Prof. Dr. Aslı ÇEKMİŞ 

Language: English   Type: Elective  Credit: (3+0)  Term: Fall

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Course Description: Basic concepts of soft computing, uncertainty in architecture; Modelling uncertainty; Fuzzy logic and fuzzy set theory; Fuzzy logic approach in architectural design; Fuzzy logic applications in architecture; Chaotic systems, complexity and applications in architecture; Artificial neural networks and learning by back-propagation; Artificial neural networks applications in architecture; Unsupervised learning, self-organizing map, adaptive resonance theory and applications in architecture; Support vector machines and applications in architecture; Nature based algorithms and applications in architecture; Metaheuristic approach in architecture; Particle swarm optimization, local search algorithms and applications in architecture.