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The increasing complexity of the new breed of distributed intelligent systems, such as the Internet of Things, which require a diversity of languages and protocols, can only be tamed with design and programming best practices. Interest is also growing for including the human factor, as advocated by the ambient intelligence (AmI) research field, whose focus is on transparently and intelligently supporting people. These new design methodologies are increasingly needed in the toolbox of new electronic and computer engineers, and teaching strategies should be devised that allow students to acquire a systems-level view instead of getting lost in technology-oriented approaches. This paper describes a study carried out over two academic years, in a course in AmI at Politecnico di Torino, Italy. In the course, a project-based learning approach was adopted, in which students design and prototype an AmI system, and their progress is closely monitored throughout the semester. This paper presents the learning goals and teaching strategies, analyzes the learning outcomes from the qualitative and quantitative points of view, and highlights the lessons learned in the process. [ABSTRACT FROM PUBLISHER]

Ever-increasing energy costs and saving requirements, especially in enterprise contexts, are pushing the limits of enterprise resource planning (ERP) to better account for energy, with component-level asset granularity. The authors use an application-oriented approach to explore the aspects involved in designing energy-aware ERPs and describe a prototypical open source implementation based on the Dog Domotic Gateway and the Oratio ERP. [ABSTRACT FROM AUTHOR]