Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Institute of Graduate Programmes
  • Department of Architecture
  • Doctorate Degree (Ph.D)
  • Course Structure Diagram with Credits
  • Architectural Design Cognition and Generative Artificial Intelligence
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications
  • ECTS Credit Load

Course Introduction Information

Code - Course Title MİM6501 - Architectural Design Cognition and Generative Artificial Intelligence
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ SEVGİN AYSU BALKAN
Mode of Delivery Face to Face
Prerequisites This course has no prerequisites or co-requisites.
Courses Recomended No recommended courses are available.
Required or Recommended Resources Cross, N. (2025). Designerly ways of knowing and thinking. Springer. doi:10.1007/978-1-4471-7541-4Lawson, B. (2005). How designers think: The design process demystified (4th ed.). Routledge.Schön, D. A. (1983). The reflective practitioner: How professionals think in action. Basic Books.Leach, N. (2025). Architecture in the age of artificial intelligence: An introduction to AI for architects (2nd ed.). Bloomsbury Visual Arts.del Campo, M. (Ed.). (2024). Artificial intelligence in architecture. Wiley.
Recommended Reading List Ahmed, D. (2024). A history of artificially intelligent architecture: Case studies from the USA, UK, Europe and Japan, 1949–1987. Routledge.Schön, D. A., & Wiggins, G. (1992). Kinds of seeing and their functions in designing. Design Studies, 13(2), 135–156. https://doi.org/10.1016/0142-694X(92)90268-FGoldschmidt, G. (2003). The backtalk of self-generated sketches. Design Issues, 19(1), 72–88. https://doi.org/10.1162/074793603762667728Goel, V. (1995). Sketches of thought. The MIT Press.Goldschmidt, G. (1991). The dialectics of sketching. Creativity Research Journal, 4(2), 123–143. https://doi.org/10.1080/10400419109534381Cross, N. (1982). Designerly ways of knowing. Design Studies, 3(4), 221–227. https://doi.org/10.1016/0142-694X(82)90040-0
Assessment methods and criteria 1 Midterm Exam, 1 Final Exam
Work Placement There is no internship/practical training included in the course.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Cognitive Foundations of Design and Creativity
Week - 2 Early Design Phase and Uncertainty
Week - 3 Decision-Making Processes in Design
Week - 4 Visual Thinking, Sketching, and Representation
Week - 5 Historical Development of Design Technologies and the Position of AI
Week - 6 Integration of Generative Artificial Intelligence Tools
Week - 7 Artificial Intelligence Aesthetics and a Critical Perspective
Week - 8 Generative AI Tools and Design Applications
Week - 9 Human-Artificial Intelligence Co-Creation
Week - 10 Ethics, Copyright, and Environmental Responsibility in the Design Process
Week - 11 Project Presentations and Evaluation
Week - 12 Project Presentations and Evaluation
Week - 13 Project Presentations and Evaluation
Week - 14 Project Presentations and Evaluation

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Problem Solving
  • Brain Storming
  • Report Preparation and/or Presentation
  • Competences
  • Productive
  • Rational
  • Questoning
  • Creative
  • Follow ethical and moral rules
  • Eleştirel düşünebilme
  • Abstract analysis and synthesis
  • Problem solving
  • Information Management
  • To work autonomously
  • Organization and planning
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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