JDPLS Additional courses

EPFL
  • Machine learning – CS433

  • Applied data analysis – CS401

  • Data visualization – COM480

  • Deep learning – EE559

  • Digital Education and Learning Analytics – CS411

  • Distributed information systems – CS423

  • Human Computer Interaction – CS486

  • Intelligent agents – CS430

  • Introduction to Natural Language Processing – CS431

  • Social media – EE593

  • Virtual reality – CS444

  • Information security and privacy – COM402

  • Computational social media – EE727

  • Machine learning for digital humanities – DH408

  • Foundation of digital humanities – DH405

  • Topics in computational social science – CS727

  • Science and Engineering teaching and learning – ENG624

  • How people learn 1 – HUM432

  • How people learn 2 – HUM433

ETH Zurich
  • Artificial Intelligence in Education – 263-5005-00L

  • Human-Computer Interaction: Cognition and Usability – 851-0252-01L

  • Computational Semantics for Natural Language Processing – 263-5000-00L

  • Computational Social Science – 851-0585-41L

  • Natural Language Processing – 252-3005-00L

  • Network Modeling – 851-0252-13L

  • Mind and Brain – 851-0157-00L

  • Applied Network Science – 851-0586-03L

  • The Science of Learning from Failure – 851-0252-12L

  • Experimental Game Theory – 851-0585-43L

  • Gender Issues in Education and STEM –  851-0242-11L

  • Research Methods in Educational Science – 851-0242-08L

  • Bayesian Data Science – 364-1105-00L

  • Foundations of Innovation Studies – 364-1110-00L

  • Design Thinking: Human-Centered Solutions to Real World Challenges – 363-1065-00L

  • Systems Dynamics and Complexity – 363-0541-00L

  • Applied Analysis of Variance and Experimental Design – 401-0625-01L

  • Bayesian Statistics – 401-3628-14L

  • Time Series Analysis – 401-4623-00L

  • Machine Learning – 252-0220-00L

  • Deep learning – 263-3210-00L

  • Big Data for Engineers – 252-3900-00L