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

• Block 1

• 22nd of April

  • Brief : Module introduction
    10:00 AM–10:30 AM
  • Lecture : Introduction to AI and ML
    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–4:00 PM

• 23rd of April

  • Brief : Recap on the development cycle of ML
    10:00 AM–10:30 AM
  • Lecture : Baysian probability or learning as updated beliefs
    10:30 AM–12:00 PM
  • Assignment : Train an image classifier on museum archives in Python
    1:00 PM–3:30 PM
  • Brief : Feedback session
    3:30 PM–4:00 PM

• Block 2

• 20th of Mai

  • Hands-on : TBA
    10:00 AM–12:00 PM
  • Assignment : TBA
    1:00 PM–4:00 PM

• 21th of Mai

  • Lecture : TBA
    10:00 AM–12:00 PM
  • Assignment : TBA
    1:00 PM–4:00 PM

• Block 3

• 17th of June

  • Lecture : TBA
    10:00 AM–12:00 PM
  • Assignment : TBA
    1:00 PM–4:00 PM

• 18th of June

  • Assignment : TBA
    10:00 AM–12:00 PM
  • Assignment : TBA
    1:00 PM–4:00 PM