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 --------------------------------------------------------------- For news of CHI books, courses & software, join CHI-RESOURCES mailto: [log in to unmask] To unsubscribe from CHI-ANNOUNCEMENTS send an email to mailto:[log in to unmask] For further details of CHI lists see http://listserv.acm.org ---------------------------------------------------------------