GMU:Dataflow: Difference between revisions

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== Application ==
== Syllabus ==
 
*dataflow, network
  Please send a motivation letter before October 17th, 2016 to '''mindaugas.gapsevicius [ät] uni-weimar.de'''
*synthesizer
 
*gem, webcam
 
*software (pd, processing, max/msp)
'''To:''' [[Mindaugas Gapševičius|mindaugas.gapsevicius [ät] uni-weimar.de]]<br>
*mobmuplat (iOS, Android)
'''Subject:''' Dataflow /// Application<br>
*arduino (photo sensor)
'''Content:'''
*Performance platform DBL
 
*Actor network
* Your motivation to join the course
* Name, Surname
* program and semester (Studienprogramm und Fachsemester)
* matriculation number (Matrikelnummer)
* Valid email address @uni-weimar.de





Revision as of 11:23, 18 October 2016

Mindaugas Gapševičius. My very first patch

Lecturer: Mindaugas Gapševičius
Credits: 6 ECTS, 4 SWS
Date: Wednesday 17:00 - 20:30
Venue: Marienstraße 7b, (Room 204)
First meeting: Wednesday, 19 October 2016; 17:00-20:30


Dataflow programming can be easier and faster to grasp than code based languages. We will focus on free, open source, and cross-platform Pure Data (Pd) visual programming language. Its native Open Sound Control (OSC) protocol will help us to get data from networking sound synthesizers, computers, and other multimedia devices. In small assignments we will gradually learn to use the software and solve tasks enabling us to realize more complex projects. Final results may be playful musical instruments, interactive installations or mobile apps which all together may be connected into an experimental orchestra. This class is aimed at a beginner level introducing Dataflow programming paradigms to artists and designers.

Students will be expected to develop a small project.

Syllabus

  • dataflow, network
  • synthesizer
  • gem, webcam
  • software (pd, processing, max/msp)
  • mobmuplat (iOS, Android)
  • arduino (photo sensor)
  • Performance platform DBL
  • Actor network