Optimizing Design Decisions with Machine Learning

Nowadays, computers are often the ones calling the shots, and this trend is everywhere. From creative/aesthetic decisions to preparing blueprints, you’re always trying to make the best choice based on a few key details. But making the right call quickly isn’t easy because there’s much to consider. That’s where machine learning and artificial intelligence come in—tools that help us make smarter choices and reduce potential errors. Now, they are accessible more than ever, especially for designers, engineers, and planners.

The Scope of the Workshop:

The course will primarily focus on the technical aspects of using machine learning for design decision-making. During the course, we will cover both the theory and practical applications of machine learning to optimize parameters in different design scenarios, such as facade, roof structuring, and urban design. We will explore a range of methods and models, including single-objective optimization and neural network classifiers, to demonstrate how machine learning can be used. While the primary focus will not always be on the aesthetic outcome, we will work on optimizing the most valuable parameters required for the current example.

• How to recognize optimizable problems in your workflow or tasks and automate them.
• First steps into data science and machine learning
• Analyze existing morphologies/structures and optimize them according to specific criteria.
• Make design decisions based on computed recommendations.

• The workshop will adopt a hands-on approach, combining lectures and practical exercises. Students will work individually on design projects that optimize various design parameters using machine learning and AI methods.

• The workshop will cover the following workflows:

• (Design) problem identification and formulation
• Data collection and analysis
• Model selection and utilization.
• Optimization and evaluation
• Design decision-making based on computed recommendations.

• Total sessions: 2 Sessions
• PAACADEMY will provide a certificate of attendance.