Now that the CHI early registration deadline is rapidly approaching,
do not forget to sign up for the CHI 2019 Course on Computational
Interaction with Bayesian Methods.

This CHI course is an excellent opportunity for a PhD student,
practitioner or researcher to learn about how to apply Bayesian
methods to solve technical HCI problems in a fun, practical and
accessible manner. Complete code will be provided via interactive
learning exercises using Python, minimizing friction in transitioning
from theory to practice.

This CHI 2019 course is an evolution of two previously held successful
CHI courses on computational interaction. This year we are
specifically focusing on Bayesian methods for computational
interaction.

The course will focus 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. For more
information, please see our course website:
http://pokristensson.com/chicourse19/

INSTRUCTORS

The following faculty members will teach the course:

Nikola Banovic, University of Michigan, USA
Per Ola Kristensson, University of Cambridge, UK
Antti Oulasvirta, Aalto University, Finland
John Williamson, University of Glasgow, UK

MORE INFORMATION

Website: http://pokristensson.com/chicourse19/
Official CHI link:
http://chi2019.acm.org/accepted-courses/#computational-interaction-bayesian




All the best,

Per Ola

--
Per Ola Kristensson, Ph.D. http://pokristensson.com
University Reader, Department of Engineering, University of Cambridge

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