ACM SIGCHI Summer School on Computational Interaction

Inference, optimization and modeling for the engineering of interactive systems

12-17 June 2017

Lucerne, Switzerland, ETH Zurich

Fees

The registration fee includes tuition, accomodation and all meals, tea and coffee during the breaks, and shuttle transport from Zurich to the venue.

Upon acceptance to the summer school, participants will receive an email detailing the payment procedure.

Registration is closed!

We will select participants based on their CV and 1-page motivation statement (see below for details). Participants will be notified of their acceptance either within one week of the early-bird deadline, or once the summer school is full. After the early-bird deadline we will assign slots on a first-come, first-served basis.

  • Early Bird Student

    €375

    Register by 28 Feb

    Must be PhD/MSc student

  • Regular Student

    €425

    Register after 1 Mar

    Must be PhD/MSc student

  • Early Bird Professional

    €450

    Register by 28 Feb

    Postdocs and industry

  • Regular Professional

    €500

    Register after 1 Mar

    Postdocs and industry

Prerequisites & Credits

Prerequisites

The summer school has no special prerequisites. However, examples and practical exercises will be given in Python. While this programming language is easy to pick up, programming skills in at least one other language, such as Matlab, Java, or C++, are recommended.

In addition, familiarity with Machine Learning, and basic skills in Linear Algebra and Probability Theory are also beneficial.

Credits

The summer school awards 2 ECTS for participation. Students who would like to get the credits will need to take a written exam at the end of the week. Otherwise a formal certificate of completion will be issued along with a summary of the course topics and student activities and hours.

Registration

To register for the summer school please complete the below form. You will need to provide the following additional material:

  • 1-page CV (as PDF uploaded to dropbox or other public URL)
  • 1-page motivation statement (again a PDF uploaded to a public URL)
  • The summer school is primarily intended for PhD students and Postdocs, but we also welcome advanced MSc students to register. People from academia are prioritized in seating. Participants from industry will be admitted in order of registration.

    Registration is closed!