After successful completion of the course, students are able to...

• Understand the fundamental concepts of AI and its applications in development planning, architecture, and urban design.
• Identify and explain various AI technologies commonly used in the field, including machine learning and large language models.
• Analyze the historical evolution and goals of AI within the architectural landscape, recognizing its cycles of optimism, limitations, and applications.
• Explore the basics of visual models used in AI, including an overview of existing software, models, and their relevance in architectural practice.

1. AI Technology We Know and Use:

   • Introduction to Machine Learning and Technical Foundations of Large Language Models 
   • A Short Introduction to (Symbolic) Artificial Intelligence: Methods, Success Stories, Limitations 

2. Short History and Goals of AI in Architectural Landscape:

   • Multiple Cycles of Optimism Followed by Disappointment and Loss of Funding
   • Reasoning, Problem-solving, and Knowledge Representation
   • Learning and Creation

3. Basics of Visual Models:

   • Overview of Existing Software and Models
   • Relevance and Application in Architecture and Urban Design
   • Introduction to Stable Diffusion Models 

This course is part of

260.875 Special Module Introduction to AI in Development Planning and Architecture Design

and can be only taken as a part of the Module.

Constructivist didactics forms the basis of the module.

Multiple Choice 

Please register through 

260.875 Special Module Introduction to AI in Development Planning and Architecture Design