İÇT128

School of Architecture and Design \ Interior Architecture and Environmental Design

3

6

Compulsory

Turkish

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Interior Architecture and Environmental Design Bachelor's Degree Program

This course aims to explore the fundamental concepts of artificial intelligence (Al) technologies, their potential applications, and their interaction with creative design processes in interior design. Students will acquire both theoretical knowledge and practical experience regarding the integration of contemporary Al-based digital tools such as text-to-image generation models, Al-assisted design recommendation systems, and data visualization tools into the design process. Throughout the course, students will
develop a critical perspective on the role of AI in interior design practice and engage in hands-on exercises that investigate how such technologies transform creative thinking and influence design decisions. In addition, the course addresses the ethical, aesthetic, and user-centered implications of AI technologies in design, encouraging students to reflect on how algorithmic systems can be responsibly and holistically Incorporated into the design process.

Cantrell, B., & Holzman, J. (Eds.). (2024). The designer’s guide to the future: Data, ecology, and computational design. Routledge.
Gero, J. S. (Ed.). (1990). Artificial intelligence in design. Butterworth-Heinemann.
Mitchell, M. (2019). Artificial intelligence: A guide for thinking humans. Farrar, Straus and Giroux.
Steenson, M. W. (2017). Architectural intelligence: How designers & architects created the digital landscape. MIT Press.

This course aims to introduce students to the fundamental concepts, tools, and ethical considerations related to the integration of artificial intelligence (AI) technologies in interior design processes. Students will explore how AI can augment creative thinking, support design decision-making, and enhance user-centered design practices. Through a combination of theoretical frameworks and hands-on applications, the course encourages students to critically engage with AI-driven tools such as generative design models, design recommendation systems, and data visualization platforms. By the end of the course, students will be able to assess the opportunities and challenges of incorporating AI into interior design and develop innovative, responsible, and aesthetically aware design solutions.

1. Develops communication skills using artificial intelligence algorithms.
2. Using Artificial Intelligence digital design and visualization tools. Develops visual and spatial perception skills.
3. Develops expression methods through artificial intelligence tools in professional standards.
4. Develops aesthetically and technically effective 2D, 3D and 4D visual expression skills.

Week 1: Artificial intelligence in relation to design and creative processes
Week 2: History of artificial intelligence and current approaches
Week 3: The place of algorithms in creative processes
Week 4: Text to Image Production systems DALL-E. Midjouney. Introduction of tools such as Stable Diffusion
Week 5: Interior concept development studies visual production with artificial intelligence
Week 6: Spatial editing suggestions with artificial intelligence
Week 7: Data-driven approaches to design decisions
Week 8: Ethical debates in design with artificial intelligence, aesthetic values and user experience
Week 9: Integration of artificial intelligence into the design studio environment, effects on learning processes
Week 10: Final project topic, criteria and expectations. Discussion of sample projects
Week 11: Presentation of student projects and feedback
Week 12: Organization of student projects and preparation for final presentation

• Assignment
• Project