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School of Science and Technology

Mixed Reality in Industrial Applications, 3 Credits

Örebro University is offering a course on Mixed Reality for Industrial Applications. This course looks into different phenomena of human interaction with mixed reality. We will examine different aspects of human perception of mixed reality, depending on such factors as fidelity, immersion, and presence.

Mixed Reality

In the course we look at the way people act when being immersed into virtual or remote environment. And we look at the methods of building efficient interaction scenarios and measuring interaction quality, using qualitative and quantitative tools. Upon completion of this course, students will be able to apply theoretical knowledge on developing mixed reality experiences to appropriate industrial problems and evaluate the effect of mixed reality in a critical manner. The course is part of the education initiative Smarter at Örebro University.

The course covers four main knowledge areas:

  • Fundamental of human perception and action, factors influencing engagement, immersion, and user experience.
  • Theory of reality-virtuality continuum, technologies and application domains of Mixed Reality.
  • Qualitative and quantitative evaluation of user experience and performance in mixed reality; building experimental support for design solutions.
  • Ethical consideration when designing high-fidelity MR experiences.

The practical part of the course is designed to help get started with developing mixed reality applications and using theoretical knowledge in practice.

The course is designed as a distance learning course with a few compulsory activities. It consists of a series of online lectures, group discussions, compulsory independent study exercises and seminar presentations and a case-based learning task.

  • First class (official start): 4 September 2019, 09:00–12:00
  • Second class (follow-up): 2 October 2019, 09:00–12:00
  • Last class (course completion): 6 November 2019, 09:00–12:00

Please note that the course is taught in English.

This contract education initiative is aimed at working professionals with a higher education qualification of 180 credits earned at the first cycle (bachelor's level) with computer science/computer technology as the main field of study, or alternatively a higher education qualification of 180 credits earned at the first cycle (bachelor's level) in e.g. computer technology/computer science/systems science (which includes computer programming).

In addition, English B/English 6 is required.

The course is free of charge.

The application is open.

Coordinator of Smarter and professional education in AI

Johan Axelsson

Title: Contract Education Coordinator School/office: Communication and Collaboration

Profile page: Johan Axelsson

Email:

Phone: +46 19 303211

Room: T2201

Johan Axelsson

Course administrator

Jenny Tiberg

Title: Study and Research Administrator School/office: School of Science and Technology

Profile page: Jenny Tiberg

Email:

Phone: +46 19 303320

Room: T1109

Jenny Tiberg