Data Science for Internet of Things and Internet of Everything: Practicum

The materials of the practical part of the study course “MC2. Data Science for IoT and IoE”, developed in the framework of the ERASMUS+ ALIOT project “Internet of Things: Emerging Curriculum for Industry and Human Applications” (573818-EPP-1-2016-1-UK-EPPKA2-CBHE-JP). The structure of work on verification of residual knowledge in the discipline, the corresponding practical material, examples of tasks and criteria of evaluation are given. In the learning process, the theoretical aspects of development and implementation of IoT-based systems are presented. The basic concepts and approaches of data science for IoT systems are given. It is intended for engineers, developers and scientists engaged in the development and implementation of of IoT-based systems, for postgraduate students of universities studying in areas of IoT, computer science, computer and software engineering, as well as for teachers of relevant courses.