MİM405

School of Architecture and Design \ Architecture

3

6

Compulsory

English

MİM 306

Architecture

This course focuses on the intersection of architecture and artificial intelligence (AI), aiming to explore the transformative potential of AI tools in architectural design, presentation, and research processes. Theoretical foundations of AI, its innovative applications, and its implications in architectural design, presentation, and research serve as the core topics of the course.
Throughout the semester, students will be introduced to various AI models and tools, including text-to-text generators such as ChatGPT and Google Bard, as well as text-to-image and image-to-image generators like Midjourney, Leonardo AI, Stable Diffusion, Luma AI, Adobe Firefly, DALL-E, RunwayML, and Microsoft Sketch2Code. These tools offer a range of functionalities, including conceptual art generation, idea development, site analysis, generative design, image editing, 3D modeling, video synthesis, style transfer, and converting hand-drawn sketches into HTML code.

Audi, R. (2018). Epistemoloji: Bilgi Teorisine Çağdaş Bir Giriş. Trc. M. Tuncel, Ankara: Nobel Akademik Yayıncılık.
Beyter, T. (2019). Epistemoloji (Bilgi Felsefesi): Neyi, Ne Kadar, Nasıl Bilebiliriz? Bilginin Doğası Nedir? Url:
https://evrimagaci.org/epistemoloji-bilgi-felsefesi-neyi-ne-kadar-nasil-bilebiliriz-7872
Turing, A.M. (2009). Computing Machinery and Intelligence. In: Epstein, R., Roberts, G., Beber, G. (eds) Parsing the Turing Test. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6710-5_3
Vardouli, T. (2012). Bilgisayarın Bin Yüzü: Bilgisayarın Tasarımda İnsanlaştırılması (1965-1975). Dosya, 29, 25-34.

Additional readings and resources on specific topics and discussions may be provided throughout the semester. Students are expected to research and present up-to-date sources that deepen their understanding of the relationship and interaction between artificial intelligence and architecture.

1. To introduce students to the fundamentals of artificial intelligence (AI) and its significance in the field of architecture, providing preliminary knowledge on key concepts and principles by evaluating AI technologies across different processes.
2. To familiarize students with various AI tools such as ChatGPT, Google Bard, Midjourney, Leonardo AI, Stable Diffusion, Luma AI, Adobe Firefly, DALL-E, RunwayML, and Microsoft Sketch2Code, and to demonstrate their applications in architectural design, visualization, and presentation.
3. To encourage critical thinking on the ethical, social, and environmental implications of integrating AI into architectural design, presentation, and research processes, fostering a responsible and conscious approach to the use of AI tools.
4. To provide hands-on experience with AI tools through interactive workshops, individual exercises, and group projects, equipping students with the skills to incorporate AI technologies into their architectural work.
5. To cultivate a culture of innovation and creativity among students, encouraging them to explore new design solutions and approaches by leveraging the potential of AI technologies.
6. To develop students’ ability to critically evaluate the reliability and accuracy of AI-generated information, enabling them to explore both the potential and limitations of AI in the design process.
7. To inspire students to become pioneers in AI-assisted architecture, empowering them to make informed decisions about the integration of AI technologies in their future professional practice and research endeavors.

1. Demonstrate a comprehensive understanding of the fundamental concepts, principles, and techniques related to artificial intelligence (AI) applications in architecture. (KNOWLEDGE)
2. Effectively utilize various AI tools such as ChatGPT, Google Bard, Midjourney, Leonardo AI, Stable Diffusion, Luma AI, Adobe Firefly, DALL-E, RunwayML, and Microsoft Sketch2Code for architectural design, visualization, and presentation tasks. (SKILL)
3. Analyze and evaluate the ethical, social, and environmental implications of integrating AI into the architectural design process and develop strategies for the responsible and sustainable use of AI technologies in professional practice. (COMPETENCE)
4. Apply critical thinking, problem-solving, and creative skills in the use of AI tools for architectural design, presentation, and research. (SKILL)
5. Effectively communicate the outcomes of AI-supported design processes through various media formats, including presentations, reports, and visualizations. (SKILL)
6. Engage in interdisciplinary discussions and collaborations with professionals from AI and architecture, gaining a deeper understanding of the opportunities and challenges of AI integration in architectural design, presentation, and research. (COMPETENCE)
7. Assess the reliability and accuracy of generated information, identify potential risks, limitations, and biases in AI-supported design outcomes, and develop strategies to mitigate possible issues. (COMPETENCE)

Week 1: Course Introduction and Orientation, Introduction to the course and getting acquainted, Explanation of the syllabus and expectations, Information on course structure and key dates, Overview of topics to be covered throughout the semester
Week 2: Can Machines Think?, Discussion on the concepts of thinking, designing, and creativity, Introduction to Artificial Intelligence (AI), Machine Learning, and Deep Learning, Overview of current AI software and its application areas
Week 3: What is Knowledge? What is "True Knowledge"? How Do We Access True Knowledge?, Overview of AI software that generates text from text, Introduction to the concept of "prompt" and the digital representation of knowledge, Are we chatting or researching? Analyzing chatbot interactions,Week 4: What is Data? Processing and Interpreting Data – The Difference Between Information and Data, Overview of AI software that generates images from text, Discussion on the problem of transforming/translating data and information from text to image
Week 5: Project Work 1 – Using Artificial Intelligence
Week 6: Project Work 1 – Using Artificial Intelligence
Week 7: Project Work 1 – Using Artificial Intelligence
Week 8: Project Work 1 – Using Artificial Intelligence
Week 9: Project Work 2 – Using Artificial Intelligence
Week 10: Project Work 2 – Using Artificial Intelligence
Week 11: Project Work 2 – Using Artificial Intelligence
Week 12: Project Work 2 – Using Artificial Intelligence

• Project 1 30 %
• Project 2 50 %
• Participation 20 %