Description
The need to design more efficiently and with higher quality in construction projects forces us to use tools designed to optimize time and resources. The mastery of Computational and Generative Design opens the possibility of applying a large number of innovative techniques for the conception of projects and the evaluation of multiple alternatives in an efficient and fast way, obtaining unbeatable results.
In this course, we will address one of the most interesting applications that we currently find within the computational design: Generative Design. Thanks to the previous modules we will have understood how to translate design requirements into programmable rules, now we will be able to use optimization algorithms that iterate over these rules in a range of values previously determined by the designer. This will expand our universe of options from a few alternatives to thousands or hundreds of thousands, resulting in optimal solutions even in the most complex and difficult-to-evaluate cases.
#AulaGEO
The possibility of applying new design techniques greatly expands the range of solutions that can be offered to end customers for project execution. At the same time, it gives the designer the opportunity to grow in competitiveness and face new challenges.
In this course, in addition to explaining the use and possibilities, and advantages of Generative Design within an organization, we will also recommend some actions to put into practice in order to choose the work team in your company that will provide optimal solutions to the challenges that arise.
Content of the course
Stages and steps of Generative Design
Lecture 1: Welcome
Lecture 2: Introduction to Generative Design
Lecture 3: Computational Design
Lecture 4: Generative Design
Lecture 5: Stages and steps of generative design
Multidisciplinary Workflows for Generative Design
Lecture 6: Example of generative design – MaRs Innovations District
Lecture 7: What is an algorithm?
Lecture 8: Options Engineering
Lecture 9: Optimization
Lecture 10: Genetic Algorithms
Lecture 11: Visual Programming
Lecture 12: Introduction to Dynamo
Lecture 13: User Interface
Lecture 14: Hello world in Dynamo
Lecture 15: Data types
Lecture 16: Lists
Lecture 17: Revit elements
Lecture 18: Generative design tool in Revit
Lecture 19: Creation of a Generative Design study
Lecture 20: Simple case – Highest point of a surface
Lecture 21: Simple Case – Minimum Volume and Maximum Surface Area
Lecture 22: Building Massing Generator
Lecture 23: Positioning building according to solar incidence
Lecture 24: Optimized office space planning
Lecture 25: Placement of objects in a grid
Lecture 26: Random object placement
Lecture 27: Distribution of luminaires
Lecture 28: Placement of views on sheets
Implementation of generative design in architecture and engineering firms
Lecture 29: Generative design in organizations
Lecture 30: Next steps
À qui ce cours s’adresse-t-il ?
Designers
Professionals and students of architecture and engineering careers
BIM modelers
IA researchers
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