AI & Digital Design Tools in Architecture
In this masterclass you will learn about the potential, limitations and common pitfalls of AI in architectural design. You will gain both theoretical knowledge and practical skills via interdisciplinary debates, keynote lectures and classroom exercises, under the guidance of invited experts.
Praktische info:
Inschrijven?
- Inschrijvingen: tot 30 apr 2023
- Voorwaarden: software requirements: participants are required to have an installation of Rhinoceros on their laptop, including the Grasshopper component for visual scripting.
- Prijs: €135 voor onderzoekers; €255 voor professonelen (broodjeslunch en koffiepauzes inbegrepen)
Vroegboekkorting: Schrijf je in voor 15/02/2023 en ontvang een korting van 20%

A round-table discussion with the experts and a two-day masterclass
- round-table discussion to connect like-minded participants in an open debate
- Attending the round-table discussion the day before the masterclass is optional, but highly encouraged due to the networking opportunities and the synergy between researchers and professionals it presents.
- masterclass to learn practical AI applications from an international expert
- This two-day masterclass will be taught by David Andres Leon, the head of IAAC's computational design unit in Barcelona, and an assistant. The masterclass guarantees close guidance in a small group with a high teacher/student ratio. The schedule includes networking opportunities and catered lunches.
Programme
Round-table discussion
Thursday 11 May: 14:00 - 18:00
The round-table discussion will be opened with a keynote lecture from an expert in the intersection of AI and architecture. It will be under the moderation of experts in this field, including David Andres Leon, the head of IAAC's computational design unit.
The whole afternoon is meant to be a highly interactive afternoon where participants learn from each other and reflect on the position of AI within the field of architecture. Participants will be asked to give a 2-minute presentation about themselves and whether they have pre-existing knowledge in AI or not.
Several broader concepts will be discussed, such as:
- The future of AI in architecture
- AI in practice
- AI in design versus the overal AEC process
Masterclass
Participants will learn concrete tools and practical applications to explore the potential of AI techniques in architectural design. Attention will also be devoted to the limitations and common pitfalls of these techniques.
Friday 12 May: 09:30 - 17:30
- Intro to the course - topics and concepts that will be covered, requirements, case-studies
- Machine Learning Fundamentals - basic knowledge and terminology (theoretical)
- Programming Basics - algorithmic thinking, why Python?, Python basics (practical)
Saturday 13 May: 09:30 - 17:30
In this part we will go over the 3 main categories of machine-learning with an architectural application. After a conceptual explanation of each of the algorithms, we’ll share ready-made Python notebooks with the participants which we will go through step by step with practical explanations of each section. That way, participants will be able to understand and add to the code in order to make the exercise their own. Rhinoceros will be used as the graphical interface.
- Unsupervised Learning (e.g. means clustering for geometry segmentation)
- Supervised Learning (e.g. neural network for geometry classification)
- Reinforcement Learning (e.g. DQL for path finding)
At-home preparation
Participants will receive the necessary preparation-info a month before the event starts.
Preparation for the round-table discussion
Participants will be asked to prepare a small presentation on themselves, ongoing research or professional projects related to AI in architecture.
Preparation for the masterclass
Participants will be provided with an online tool to learn some of the basics of programming in advance. This online course will take a few hours to complete, and the experts of the masterclass will have access to follow-up on the progress and general level of the group. This way, participants will have a prior knowledge so the masterclass can focus on architectural applications within artificial intelligence.
Lesgever/spreker
David Andres Leon
David is the head of the computational design unit at IAAC in Barcelona. He is an architect with focus in the research and development of computational tools for Architecture, Construction and Design.
David holds a Master of Science Degree from the Institute for Computational Design and Construction (ICD) in Universitat Stuttgart and a Masters Degree in Advanced Design and Digital Architecture from the Escola Superior de Disseny i Enginyeria de Barcelona (Elisava). He has been involved in several research undertakings of which stand out his participation in German research platform FAT-LAB in Stuttgart and his collaboration as a research assistant in the Centre for Information Technology and Architecture (CITA) for the EU-Horizon 2020 Future and Emerging Technologies Proactive Action project Flora Robotica. David is also the co-author of various publications in the field of architectural research and robotics.
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