wZMYUkNkkMZCQKiX4xMDoxOjBrO-I4W8
Introduction to Machine Learning for Building Design and Construction
Hands-on Lab    BLD119555L
Mehdi Nourbakhsh
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wZMYUkNkkMZCQKiX4xMDoxOjBrO-I4W8
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Description

In this class, students will learn the basics of machine learning and how they can apply it to building design and construction. First, we'll talk about the history of machine learning and how it has been used in literature and the building industry. Then, we'll talk about some easy-to-use machine learning algorithms and try to implement them in Dynamo Studio software. This class does not require any prerequisite knowledge or skills.

Key Learnings

  • Learn about the history of machine learning
  • Learn how to use machine learning in building design and construction
  • Learn how to use Dynamo as a machine-learning platform
  • Learn how to code up your first machine-learning algorithm in Dynamo

Speakers

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Mehdi is a Senior Research Scientist working with the Design Research group at Autodesk. Mehdi holds a bachelor's degree in Civil Engineering, and master's degrees in Construction Management and Computer Science and a Ph.D. in Building Construction from the Georgia Institute of Technology. As a research assistant, Mehdi conducted advanced research pertaining to procedural and parametric modeling for structural design and optimization of buildings. Currently, his research focuses on the next generation of computing in building design: using machine learning techniques to algorithmically generate and optimize vast numbers of alternative solutions, specifically designed for additive manufacturing.
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