Educational Data Mining Summer School Programme

May 26, Monday

  • 08:30-09:00 – Registration
  • 09:00-11:30 – Educational Data Mining (EDM) Overview
  • 11:30-13:30 – Lunch Break
  • 13:30-14:00 – Introductions
  • 14:00-15:00 – Introduction to EDM, RapidMiner
  • 15:00-15:30 – Linear Regression

May 27, Tuesday

  • 08:30-09:00 – Review of Previous Day
  • 09:00-10:30 – Introduction to Affective Computing
  • 10:30-12:00 – Introduction to BROMP and HART
  • 12:00-13:30 – Lunch Break
  • 13:30-14:30 – Mock Observation Session
  • 14:30-15:30 – Incidence of Affect
  • 15:30-16:30 – Inter-coder Reliability

May 28, Wednesday

  • 08:30-09:00 – Review of Previous Day
  • 09:00-10:30 – Decision Trees
  • 10:30-12:00 – Clustering
  • 12:00-13:30 – Lunch Break
  • 13:30-16:30 – Cross-Validation

May 29, Thursday

  • 08:30-09:00 – Review of Previous Day
  • 09:00-12:00 – Performance Metrics
  • 12:00-13:30 – Lunch Break
  • 13:30-16:30 – Work on Group Project

May 30, Friday

  • 08:30-09:00 – Review of Previous Day
  • 09:00-12:00 – Work on Group Projects
  • 12:00-13:30 – Lunch Break
  • 13:30-14:30 – Work on Group Projects
  • 14:30-16:00 – Project Presentations
  • 16:00-16:30 – Awarding and Evaluation

 

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