Course Content
10 Lessons
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The Parametric Optimizations Workshop focuses on managing design data and optimizing projects for sustainability and performance using Ladybug and LunchBox.
2 courses5.0
The technological decade between 2010 and 2020 was mainly characterized by the global explosion of the Big Data phenomenon the implications that this has on society are still ongoing and are the subject of numerous studies. The amount of data generated in that period has proven infinitely more significant than that created in the previous millennia. The quantity of “input” is constantly increasing. Thus, the level of complexity consequently increases. The information we gather from different situations are stimuli that actively influence the places we live in, determining their space, geometry, sociability, and beauty. We can and must use them to design more consciously.
Introduction to parametric and computational design principles.
Understanding sustainability principles in architectural design.
Enhancement of participants' skills in Rhinoceros (Rhino 3D).
Proficiency in using Grasshopper 3D for design analysis and optimization.
Practical applications of various Grasshopper plugins, such as:
LadyBug for environmental analysis and sustainability.
Galapagos for evolutionary algorithm-based optimization.
LunchBox for parametric facade design and pattern generation.
Additional plugins to be announced.
Exploration of sustainability analysis, parametric design, and performance-driven design through Grasshopper plugins.
Application of these tools in real-world design projects focused on performance and optimization.
Through a series of example projects led by Stefano Bastia, we will trace a reverse path to understand how a project is conceived, from the initial analyses to improving its performance. Participants will individually learn to develop and manage a small project through a series of exercises using Rhinoceros, with the support of Grasshopper.
This workshop aims to equip participants with skills to find and manage all these inputs (design data) for more conscious design. Through a series of software and plugins, we will be able to capture and channel them and consequently control them. The more information we have as input, the better and more precise the results will be, giving us more assets at our disposal and enhancing our ability to “solve” problems in a targeted way.
What you should already know or have ready before you start, experience, tools, and any baseline skills the instructors expect. Scan the list below so nothing catches you off guard.
Course Content
Stefano Bastia is an architect and computational designer with a keen interest in multidisciplinary design research. In 2020, he co-founded SOA Architecture with colleague Eurind Caka, following several years at Mario Cucinella Architects in Bologna after graduating in 2016. Stefano holds a Bachelor of Architecture and a Master of Architecture from the University of Bologna, where he was awarded the Giacomo Venturi Best Thesis Prize in 2017.
From 2020 to 2021, Stefano served as a module professor in Digital and Parametric design at SOS – School of Sustainability. In 2023, he delivered a lecture at Computational Design: NEXT, sponsored by ParametricArchitecture and Designmorphine. His lecture explored the intricate relationship between humans and machines throughout history, focusing on the emergence of big data, AI, and complexity from philosophical and social perspectives.
Stefano Bastia is particularly intrigued by the implications of these phenomena in everyday life, including their social and political ramifications. Starting from data is fundamental to his research, enabling the identification of real issues within specific contexts and approaching them with heightened awareness to find practical solutions.
“We Program Beauty” embodies a dynamic and empathetic relationship with technology, outlining a new creative process. Our approach to complexity and methodology defines our CREATION and personal MODUS OPERANDI.
Very useful, it will help me greatly with the solar optimization process of my projects.
Thank you
Really good. I love it!
There are a lot of valuable tricks and tips that increase the workflow and help to solve computational problems. I can see how the techniques learned in this can help with the projects I am working on.