Within the frame of the 1-day workshop, MEAL will present a general introduction, explaining Computational Design practices to the participants.
The workshop will invite individuals from different industries to generate, manipulate and develop code that will allow them to design complex architectural spaces.
These spaces can be visualized in Virtual Reality (VR) environments, explaining the benefits of walking through an immersive digital model to be able to visualize space, light and affect.
• Digital Design of complex spaces using computer code (Rhinoceros + Grasshopper)
• Using geometry to design exciting spaces with light/shadow conditions
• Walking through their designs in Virtual Reality environments in Iris VR +Mindesk
• The possibility of 3D printing and taking their designs home
The workshop is prepared for beginners and intermediate level users. You do not have to have any prior experience using Rhino, Grasshopper, Mindesk 1.0.0 (HTC Vive) or IRIS VR to Sign up. However, please come prepared by opening and downloading the following links
This workshop is an introduction. No prior knowledge in architecture, design, computational
design or VR is required to attend this workshop.
Each participant needs a Windows PC Laptop or Mac with Boot camp and Windows 7 or later, 64-bit processor.
Rhino 5 (64- bit). Grasshopper 0.9.0076 or later, Iris VR, Mindesk 1.0.0 (HTC Vive)
Watch this introduction to know more about VR applications in Architectural Design:
Rhino 5 Windows Can be Downloaded of a 90 day trial here
Grasshopper can be downloaded for free here:
IRIS VR Preview here:
IRIS VR Prospect can be downloaded for a 45 day trial here:
Please watch this tutorial online for Mindesk:
Mindesk can be used free of charge for a 30 day trial here:
MEAL (Middle East Architecture Laboratory) is a creative- economy, nomadic community of Makers, Programmers, Material Scientists and Entrepreneurs. MEAL is the research incubator for MEAN.
MEAL will bring together the brightest minds in the fields of design research, through an experimental methodology towards learning.
MEAL will facilitate the transfer of knowledge of novel technologies to the future generation of designers. It will attempt to radicalize the use of technology to generate a contemporary contextual design identity.