Theoretical courses master Intelligent Lighting Design 5 ECTS (select one)

Gaining in-depth understanding on selected relevant topics in lighting technology. Students will achieve new skills by performing a systematic literature search and by applying obtained theoretical knowledge into programming tools

Engaging with theoretical models, critically reflect on recent empirical research and the methods and results reported there, and to formulate implications for new and innovative lighting solutions and potential applications relating to both natural and electric lighting

Coding new Bayesian machine learning algorithms and applying them to practical information processing problems. Students will apply the theory to an intelligent lighting application.

Gaining knowledge on IoT systems, networks and protocols, and IoT data analysis. Applying this knowledge in practical assignments. Students choose intelligent lighting related challenges for the practical assignments.

Conducting a design-science research project to link science and practice by using design as a core means of inquiry in generating knowledge for science and creating solutions for practice. Students will get a group assignment related to intelligent lighting

Gaining an in-depth understanding of designing interactive and intelligent systems that provide users with a positive experience. The course provides theory and contextualizes the theory through a (lighting related) case-based approach.