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Course on Computational Interaction with Bayesian Methods

Nikola Banovic, Per Ola Kristensson, Antti Oulasvirta, John Williamson

  • 0900 - 1720 Wednesday 8 May 2019, Glasgow, UK

See the course website for full details

Launch the notebooks on Binder

No need to install anything: thanks to the amazing Binder service, you can open and run these notebooks directly on the web. Just click the link above to launch a VM.



The course focuses on optimization and inference and on applying these techniques to concrete HCI problems. The course will specifically look at Bayesian methods for solving decoding, adaptation, learning and optimization problems in HCI. The lectures center on hands-on Python programming interleaved with theory and practical examples grounded in problems of wide interest in human-computer interaction.


The following faculty members will teach the course:

Local install instructions

If you are not using, then you can download and install a local version:

  • Install Anaconda 3.6 for your platform if you don't already have it installed (note Python 3.7 currently has a conflict with gpyopt)

  • Clone the repository somewhere on your machine

      git clone
  • At the terminal, enter the directory where you cloned the repo

  • Create a new conda environment with the prerequisites

      conda env create -f environment.yml
  • Activate the environment with

      conda activate chi-course-2019
  • Start the notebook server with

    jupyter notebook
  • and then open index.ipynb


ACM SIGCHI 2019 Course on Bayesian Methods for Interaction






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