Additional Courses
ETH Zurich
- Artificial Intelligence in Education - 263-5005-00L
- Human-Computer Interaction: Cognition and Usability – 851-0252-01L
- Computational Social Science – 851-0585-41L
- 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
- Natural Language Processing - 252-3005-00L
- Computational Semantics for Natural Language Processing - 263-5000-00L
EPFL
- Applied data analysis – CS-401
- Computational social media – EE-727
- Data visualization – COM-480
- Deep learning – EE-559
- Digital Education and Learning Analytics – CS-411
- Distributed information systems – CS-423
- Foundation of digital humanities – DH-405
- How people learn 1 – HUM-432
- How people learn 2 – HUM-433
- Human Computer Interaction – CS-486
- Information security and privacy – COM-402
- Intelligent agents – CS-430
- Introduction to Natural Language Processing – CS-431
- Machine learning – CS-433
- Machine learning for behavioral data – CS-421
- Machine learning for digital humanities – DH-408
- Science and Engineering teaching and learning – ENG-624 (transferrable skills course)
- Social media – EE-593
- Topics in computational social science – CS-727
- Topics in Machine Learning for education – CS-702
- Virtual reality – CS-444