DATASCAPEDATASCAPE Data Visualisation Mattia Santi and Francesca Silvi TERM 1 - Weds, PM SESSION –...

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DATASCAPE Data Visualisation Mattia Santi and Francesca Silvi TERM 1 - Weds, PM SESSION – 1300-1600 (BST) TERM 2 - Weds, AM SESSION – 0900 -1200 (BST) Contemporary spaces extend beyond physical reality through layers of virtual relations. Data interpretation is one of the most contemporary challenges within many fields and requires the capability of revealing patterns inside complex data. Designing through data allows to read, understand and shape the new information driven society. Students will design and develop data sculptures to create a collective virtual gallery. The workflow will engage students with the use of computational tools to express their ideas, understanding, interpreting, designing and visualising patterns inside data. Starting from the fundamentals of programming, the students will develop Media Architecture projects using Processing and Houdini. In this course students will develop core skills in coding and visual programming gaining experience in procedural modelling, mapping and data visualisation. Core learning: Programming Principles, Writing Code in Processing, Procedural Modelling and Animation in Houdini, Principles of Data Analysis and Data Visualization, Algorithm Design and Implementation, Critical Thinking and Visual Communication. Technical Requirements: Computer

Transcript of DATASCAPEDATASCAPE Data Visualisation Mattia Santi and Francesca Silvi TERM 1 - Weds, PM SESSION –...

  • DATASCAPE Data Visualisation Mattia Santi and Francesca Silvi TERM 1 - Weds, PM SESSION – 1300-1600 (BST) TERM 2 - Weds, AM SESSION – 0900 -1200 (BST)

    Contemporary spaces extend beyond physical reality through layers of virtual relations. Data interpretation is one of the most contemporary challenges within many fields and requires the capability of revealing patterns inside complex data. Designing through data allows to read, understand and shape the new information driven society. Students will design and develop data sculptures to create a collective virtual gallery. The workflow will engage students with the use of computational tools to express their ideas, understanding, interpreting, designing and visualising patterns inside data. Starting from the fundamentals of programming, the students will develop Media Architecture projects using Processing and Houdini. In this course students will develop core skills in coding and visual programming gaining experience in procedural modelling, mapping and data visualisation. Core learning: Programming Principles, Writing Code in Processing, Procedural Modelling and Animation in Houdini, Principles of Data Analysis and Data Visualization, Algorithm Design and Implementation, Critical Thinking and Visual Communication. Technical Requirements: Computer

  • WEEKLY SESSIONS Session 1: Wednesday 7th October INTRODUCTION Design through data key studies Presentation of the research topics Introduction to Processing and Houdini Session 2: Wednesday 14th October FUNDAMENTALS Fundamentals of programming and visual programming Workflow strategy Session 3: Wednesday 21st October DATA INTERPRETATION Interpretation of data to build a narrative Defining design intents Coding strategy Session 4: Wednesday 28th October PATTERN VISUALISATION Digital simulation Mapping data and visualisation strategies OPEN WEEK Session 5: Wednesday 11 th November PROJECT DEVELOPMENT Support on coding and design review Session 6: Wednesday 18 th November PROJECT DEVELOPMENT Support on coding and design review Session 7: Wednesday 25 th November CONCLUSIONS Project finalisation and presentation strategies Session 8: Wednesday 2nd December // AA MEDIA JURY DAY Final presentation Submission requirement for the course

    - PDF A3 Booklet including summary of work, references, catalogues studies and design outputs - PDF A2 boards for final presentation - Video

    Suggested Reading list M. McLuhan , Q. Fiore, ‘The Medium is The Massage’, Gingko Press, 2001 M. Lima, ‘Visual Complexity: Mapping Patterns of Information’, Princeton Architectural Press, 2013 S. Johnson, ‘Emergence: The Connected Lives of Ants, Brains, Cities and Software’, Scribner, New York, 2001 D. Shiffman, ‘The Nature of Code: Simulating Natural Systems with Processing’, 2012 M. Duke, R. Anadol , ‘Why AI Hallucinates: The BotVerse Begins’, Global Innovation Books, 2018 F. Melendez, N. Diniz, M. Del Signore, ‘Data, Matter, Design, Strategies in Computational Design’, Routledge, 2020

  • Mattia Santi is co-founding director of SASI Studio, an architecture and design office based in London. He previously worked as Senior Architect at Zaha Hadid Architects, after having worked at Robofold, Farshid Moussavi Architects, Alvisi Kirimoto & Partners. Mattia holds a MArch in Architecture and Urbanism (DRL) from the Architectural Association and a MEng in Architectural Engineering with honours from University of Rome Tor Vergata. Mattia is also co-founding director of the digital magazine Data Aided Design. Francesca Silvi is co-founding director of SASI Studio, an architecture and design office based in London. She previously worked as Senior Architect at Zaha Hadid Architects, after having worked at Foster and Partners, 3D Reid, Coffice. Francesca holds a MArch Architecture Design from the Bartlett School of Architecture and a MEng in Architectural Engineering from University of Rome Tor Vergata. Francesca is also co-founding director of the digital magazine Data Aided Design.