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Grades will be based on group presentations and exercises, class participation, documentation (journal) and final work. 
Contributing to constructive group feedback is an essential aspect of class participation. 
Regular attendance is required. Two or more unexcused absences will affect the final grade. Arriving late on more than one occasion will also affect the grade.

Final work 50% 40% 

Group exercisesAssignments/presentations 20% 30% 

Journal Documentation 20% 

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Any assignment that remains unfulfilled receives a failing grade.  

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Workshops

• Thursday Workshop 17.11
  
  
  • Tutorials for scraping Instagram, scraping Tinder, using database from Google Location History in kml format in Processing, using Real Time location with GYROSC, and using socket.io with localhost.run to connect web sockets are here::: Tutorials_scraping_gps_and_more_avt.pdf
  • Sending Data from and to Arduino using https://www.shiftr.io/
    
    
• Workshop Tuesday 22.11
  • Data in Processing
  • 3D in Processing and exporting into .obj for 3D printing
    
    

Deliverables

• Kickoff Exercise: Analogue Data Collection 

  Look for sources of your personal body data in the real world. What traces do we leave behind that give us indications about our movements, vital signs or emotions? 
  Be aware of the data you're collecting without intention. Or are you currently collecting data intentionally? 
  Is there a type of data that reveals something specific about your life, your interactions with your environment? Can a short sample offer a complex reflection?
  Your survey has to comprehend at least 6 hours of tracking and showcase a complex aspect of your entangled life (beyond a specific quantity tracking). 
  Think of questions you want to answer before you start tracking.

  Record videos or take photos to indicate and attempt to extract the data or reflect on it.
  Represent that data in a performative way. 

  Presentation/performance: max 2 minutes - you can invite the audience to take part, use props, etc

  Individual work
  

  Thursday Workshop 17.11
  
• Tutorials for scraping Instagram, scraping Tinder, using database from Google Location History in kml format in Processing, using Real Time location with GYROSC, and using socket.io with localhost.run to connect web sockets are here::: Tutorials_scraping_gps_and_more_avt.pdf
Sending Data from and to Arduino using https://www.shiftr.io/
Workshop Tuesday 22.11
• Data in Processing
3D in Processing and exporting into .obj for 3D printing





• Weekly progress reviews
  Booklet 1st Exercises, Performances & Weekly progress reviews (bring iterated prototype/sketches/experiments for each mentoring)
  
  
• Mid-Class Delivery: Booklet concept, prototype & inspirations
  
  
• Final Project and Presentation: Interactive embodied fabricated apparatus
  

  Use Data-Collection, Generative Design Methods and Digital Fabrication to create an interactive body apparatus (wearable, fashion item, prosthesis, orthesis, prosthetics, implant, extension, external apparatus, architecture, etc).

  Questions to consider in your process:

  • What drives the design? (example: is it functional, speculation or critique)
  • Where could the data come from? (example: sensors)
  • How do you map the data to a geometry? (example: using a metaphor) 
  • Or is the form making process inspired by existing models? (example: fungus, cell division, mathematical geometry,…)
  • What is the fabrication process? 
  • What does your body extension connect with the surrounding environment?
  • What does it embody?
  • What meanings does it create?

  
  

  In groups of four or five students 
  
  

• Presentation Format: Exhibition of Experiments & Performance with Final Prototypes together with an oral presentation.

  Presentation on: 22.12.22
  
  

• Documentation 
  
  
  •  A 'Journal' is developed by each student group of students that reflects on experiments and learnings from the course. It should be in the form of an online blog (ie. WordPress, Tumblr or other):
    • The journal should be structured in a generally comprehensible manner
    • The lecture notes, including annotations, are stored
    • Notes, sketches for each lesson should be included as well
      
      
  • Final Documentation per usual guidelines: title, abstract, hi-res pics, PDF with commentary text, video documentation (see Wiki)

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