Teaching materials contains lectures and practicums of the study modules for MSc, PhD and Training Modules for an intensive capacity-building measures as lecture part developed in the framework of the ALIOT project «Internet of Things for Industry and Human Application» (573818-EPP-1-2016-1-UK-EPPKA2-CBHE-JP) funded under the Erasmus+ programme are given. It is intended for MSc and PhD students studying IoT technologies, software and computer engineering and science. It could be useful for lecturers of universities and training centers, researchers and developers of IoT systems.
The first, second and third volumes of the three-volume book called “Internet of Things for Industry and Human Applications” contains materials of the lecture parts of the study modules for MSc, PhD and Training Modules for an intensive capacity-building measures as lecture part developed in the framework of the ALIOT project «Internet of Things for Industry and Human Application» (573818-EPP-1-2016-1-UK-EPPKA2-CBHE-JP) funded under the Erasmus+ programme are given.
It is intended for MSc and PhD students studying IoT technologies, software and computer engineering and science. It could be useful for lecturers of universities and training centers, researchers and developers of IoT systems.
Volume 1 describes challenges, principles and technologies of Internet of Things (IoT) and Internet of Everything (IoE). The book consists of 4 parts for corresponding MSc courses: fundamentals of IoT, IoE and Web of Things (sections 1-4), data science for IoT (sections 5-8), mobile and hybrid IoT computing (sections 9-11), IoT technologies for cyber-physical systems (sections 12-15). The book prepared by Ukrainian university teams with the support of EU academic colleagues of the ALIOT consortium.
Volume 2 describes models, simulation and development techniques for Internet of Things (IoT). The book consists of 4 parts for corresponding PhD courses: modeling of IoT based systems (sections 16-19), software-defined networks and IoT (sections 20-23), dependability and security of IoT (sections 24-27), development and implementation of IoT based systems (sections 28-31). The book prepared by Ukrainian university teams with the support of EU academic colleagues of the ALIOT consortium.
Volume 3 describes techniques and tools for creation, assessment and
implementation of Internet of Things (IoT) in different industry and human domains. The book consists of 6 parts for corresponding training courses: IoT for smart energy grid (sections 32-35), IoT for smart buildings and cities (sections 36-39), IoT for intelligent transportation systems (sections 40-43), IoT for healthcare systems (sections 44-47), IoT for ecology, safety and security monitoring systems (sections 48-51), IoT for industrial systems (sections 52-56). The book prepared by Ukrainian university teams with support of EU academic colleagues of the ALIOT consortium.
Courses syllabuses and description of practicums are placed in the appendixes of the corresponding practicums and training modules.
Internet of Things for Industry and Human Application. Fundamentals of Internet of Things
The book contains materials for practicum of MSc course “MC1. Fundamentals of Internet of Things” developed in frameworks of project “Internet of Things: Emerging Curriculum for Industry and Human Applications /ALIOT” (Project Number: 573818-EPP-1-2016-1-UK-EPPKA2-CBHE-JP, 2016-2019) funded by EU Program ERASMUS+. It’s described practice works and seminars for modules “Concepts, domains and challenges of IoT applications”, “Standards and metrics for IoT systems”, “Communications and protocols of IoT systems”. The book prepared by Ukrainian university teams with the support of EU academic colleagues of the ALIOT consortium.
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.
Mobile and hybrid Internet of Things based computing: Practicum
The materials of the practical part of the master course “MC3. Mobile and hybrid IoT-based computing”, developed in the framework of the ERASMUS+ ALIOT project “Modernization Internet of Things: Emerging Curriculum for Industry and Human Applications Domains” (573818-EPP-1-2016-1-UKEPPKA2- CBHE-JP).
Study material presented in this practical part of the master course is covering the basic topics iOS and Android application development and there use for IoT systems.
Internet of Things Technologies for Cyber Physical Systems: Practicum
The materials of the practical part of the study course MC4 “IoT technologies for Cyber Physical Systems”, developed in the framework of the ERASMUS+ ALIOT project “Internet of Things: Emerging Curriculum for Industry and Human Applications”. The course structure, teaching materials, examples of tasks for seminars, practical and laboratory works, as well as methodological recommendations for self-preparation and knowledge testing in the discipline, and criteria for their assessment are given. The material is submitted sequentially to form a holistic picture of the current state, synergy, prospects for research and development of Internet of Things and Cyber-Physical Systems technologies. The focus is on the conceptual issues of modeling, analysis, synthesis and practical implementation of CPS, and the role of IoT at all stages of the life cycle of complex computerized systems.
The book contains materials for practicum of MSc course “Fundamentals of Internet of Things” developed in frameworks of project “Internet of Things: Emerging Curriculum for Industry and Human Applications /ALIOT” (Project Number: 573818-EPP-1-2016-1-UK-EPPKA2-CBHE-JP, 2016-2019) funded by EU Program ERASMUS+. It’s described laboratory works for module “Architectures and platforms of IoT/WoT systems”. Practicum includes 9 labs for research of different platforms and controllers such as PLCNext which are used for creation of IIoT systems.
Simulation of Internet of Things based Systems. Practicum
The materials of the practical part of the study course PС1 “Simulation of IoT-based systems”, developed in the framework of the ERASMUS+ ALIOT project “Internet of Things: Emerging Curriculum for Industry and Human Applications Domains” (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 modeling and simulation of IoT-based systems are presented. The course focuses on the application of the Internet of things technologies in the design and construction of smart home and smart building systems.
Software defined networks and Internet of Things: Practicum
The materials of the practical part of the study course “PC2. Software defined networks and IoT”, developed in the framework of the ERASMUS+ ALIOT project “Modernization Internet of Things: Emerging Curriculum for Industry and Human Applications Domains” (573818-EPP-1-2016-1-UKEPPKA2- CBHE-JP).
Practicum materials are supposed to be used by PhD-students in sphere of computer networking, software engineering etc., and aimed at delivering the essential knowledge and practical skills on the topic of Mininet emulator usage for the purpose of typical engineering tasks solving, covering, in particular, the aspects of programming – for the purpose of automation tasks solving. Moreover, practicum is devoted to engineers and researches involved in the development, implementation and testing of SDN-based IoT-solutions.
Dependability and Security Internet of Things: Practicum
The materials of the practical part of the study course PC3 “Dependability and Security of IoT”, 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 dependability and security of IoT-based systems are presented. The basic concepts and approaches to development and implementation of dependable, safe and secure IoT systems, models and methods for dependability and security assurance and assessment of IoT-based systems are examined.
Development and Implementation of Internet of Things based Systems: Practicum
The materials of the practical part of the study course PC4 “Development and Implementation of IoT-based Systems”, 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 to development and implementation of IoT systems, models for IoT-based devices and technologies for data processing and transfer, and intelligent methods and approaches for management and learning of IoT-based systems are examined.
Internet of Things for Smart Energy Grid: Trainings
The materials of the training part of the study course ITM1 “IoT for Smart Energy Grid”, developed in the framework of the ERASMUS+ ALIOT project “Internet of Things: Emerging Curriculum for Industry and Human Applications” (573818-EPP-1-2016-1-UKEPPKA2- 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 IoT for smart energy grid are presented. IoT infrastructure for smart energy grid based on embedded systems devices, its safety, reliability
and security are examined.
Internet of Things for Smart building and city: Trainings
The materials of the practical part of the study course ITM2 “IoT for Smart building and city”, 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 course focuses on the application of the Internet of things technologies in the design and construction of smart home and smart building systems.
Internet of Things for іntelligent transport systems: Practicum
The materials of the practical part of the study course “ITM3. IoT for Intelligent Transport Systems”, 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.
Internet of Things for Healthcare Systems: Trainings
The materials of the training part of the study course ITM4 “IoT for Healthcare Systems”, 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 training material, examples of tasks and criteria of evaluation are given. In the learning process, the theoretical aspects of IoT for healthcare systems are presented.
The structures, models and technologies for development of healthcare IoT-based systems, advanced techniques and means for design, modernization and implementation of healthcare IoT-based systems and development and hardware optimization of units for IoT devices in healthcare systems are examined.
Internet of Things for Ecology, Safety and Security Monitoring Systems: Trainings
The materials of the training part of the study course ITM5 “IoT for ecology, safety and security monitoring systems”, 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)1.
The structure of work on verification of residual knowledge in the discipline, the corresponding training material, examples of tasks and criteria of evaluation are given. In the learning process, the theoretical aspects of IoT for ecology, safety and security monitoring systems are presented. The structures, models and technologies, advanced techniques and means for design, modernization and implementation of IoT-based systems for ecology, safety and security monitoring, application of IoT technologies in engineering, development control units for IoT devices for ecology, safety and security monitoring systems are examined.
Internet of Things for Industrial Systems: Trainings
The materials of the training part of the study course ITM6 “IoT for industrial systems”, 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 training material, examples of tasks and criteria of evaluation are given. In the learning process, the theoretical aspects of IoT for industrial systems are presented.
The structures, models and technologies for development of industrial IoT-based systems, advanced techniques and means for design, modernization and implementation of industrial IoT-based systems, application of IoT technologies in engineering, and development and hardware optimization of control units for IoT devices in industry systems are examined.
