Courses Architectural Design Optimizing Design Decisions With Machine Learning

Optimizing Design Decisions With Machine Learning

Name: Optimizing Design Decisions With Machine Learning
Price: 105.00 EUR
Rating: 5 (2 reviews)

This workshop focuses on using machine learning to make design decisions. It covers theory and practical applications in various areas, such as facade and urban.

00:00

Overview
Content
Instructors
Reviews

May 25, 26, 2024

6 Lessons

Advanced

8 Hours

Certificate — Learn

English

Unlimited Access

€125.00

€105.00

Gift Course

Introduction of the workshop:

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.

What You’ll Learn?

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.

Methodology:

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.

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 facades, 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.

What You’ll Use?

Content

Part 1 (01:00:41)

Part 2 (57:56)

Part 3 (02:00:58)

Part 1 (01:20:59)

Part 2 (01:24:53)

Part 3 (01:00:23)

Important Notes:

Total sessions: 2 Sessions

PAACADEMY will provide a certificate of attendance.

Instructors:

Zvonko Vugreshek

Biography

Zvonko is an architect turned engineer and digital fabricator. He is currently addressing the challenge of integrating data science and machine learning into design and fabrication processes. He is working on his company, Pixolid UG, which operates in these fields, in Berlin. Zvonko has also been active in academia, working as a researcher and lecturer at various universities in Berlin and the surrounding area, including TU Berlin, BTU Cottbus, and IU Berlin, in the fields of digital fabrication, robotics, and computational/generative design. His work focuses on bridging the gap between digital models and physical realities by training models to enhance robot-to-robot and human-to-robot collaboration. In this workshop, he will share his experience of translating real-world objects from photographs and demonstrate how computer vision and adaptive toolpaths can transform fabrication and design workflows.