Provisional schedule

• 10:00 AM
• 10:30 AM
• 11:00 AM
• 11:30 AM
• 12:00 PM
• 12:30 PM
• 1:00 PM
• 1:30 PM
• 2:00 PM
• 2:30 PM
• 3:00 PM
• 3:30 PM
• 4:00 PM
• 4:30 PM
• 5:00 PM

• Block 1

• 23th of April

  • Brief : Module introduction
    10:00 AM–10:30 AM
  • Lecture : Introduction to machine learning
    10:30 AM–12:00 PM
  • Hands-on : Train your first classifier with Marcelle!
    1:00 PM–2:00 PM
  • Hands-on : Data science and machine learning tutorials
    2:00 PM–5:00 PM

• 25th of April

  • Lecture : Recap on the development cycle of ML and presentation of the first assignment
    10:00 AM–10:30 AM
  • Assignment : Train an image classifier on museum archives in Python
    10:30 AM–12:00 PM
  • Assignment : Train an image classifier on museum archives in Python
    1:00 PM–4:30 PM
  • Brief : Feedback session
    4:30 PM–5:00 PM

• Block 2

• 4th of June

  • Hands-on : Introduction to Pure Data
    10:00 AM–12:00 PM
  • Assignment : Build a gesture-to-sound synthesizer in Pure Data
    1:00 PM–5:00 PM

• 6th of June

  • Lecture : Symbolic music generation with ML (Dr. Benedikt Zönnchen)
    10:00 AM–11:00 AM
  • Assignment : Generative MIDI with ML in Python
    11:00 AM–12:00 PM
  • Assignment : Generative MIDI with ML in Python
    1:00 PM–5:00 PM

• Block 3

• 11th of June

  • Lecture : AI in the art scene (Lecture by Helena Held)
    10:00 AM–11:00 AM
  • Assignment : Analyse and explore AI artists biographies with ML
    11:00 AM–12:00 PM
  • Assignment : Analyse and explore AI artists biographies with ML
    1:00 PM–5:00 PM

• 13th of June

  • Assignment : Analyse and explore museum archives with ML
    10:00 AM–12:00 PM
  • Assignment : Analyse and explore museum archives with ML
    1:00 PM–5:00 PM