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  • 1
    Online Resource
    Online Resource
    Teaching and Learning Advances on Sensors for IoT (2021)
    Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    UID:
    gbv_1778417302
    Format: 1 Online-Ressource (122 p.)
    ISBN: 9783036505220 , 9783036505237
    Content: This book focuses on all the technologies involved in improving the teaching and learning process of some of the sensor-based IoT topics, such as virtual sensors, simulated data acquisition, virtual and remote labs for IoT sensing, gamification experiences and innovative teaching materials, among others. In particular, the articles inside the book show excellent works about hot topics, such as: - Remote labs for IoT teaching, including the full development cycle. - Practical guides for IoT cybersecurity. - Innovative multimodal learning analytics architecture that builds on software-defined networks and network function virtualization principles. - Problem-based learning experiences using designed complex sensor-based IoT ecosystems with sensors, actuators, microcontrollers, plants, soils and irrigation systems. - Block-based programming extensions to facilitate the creation of mobile apps for smart learning experiences. The articles published in this book present only some of the most important topics about sensor-based IoT learning and teaching. However, the selected papers offer significant studies and promising environments
    Note: English
    Language: English
    URL: kostenfrei
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Stabi Berlin
    UB Potsdam
  • 2
    Online Resource
    Online Resource
    Teaching and learning advances on sensors for IoT (2021)
    Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    UID:
    b3kat_BV047648241
    Format: 1 Online-Ressource
    ISBN: 9783036505237
    Note: Titelrückseite: This is a reprint of articles from the Special Issue published online in the open access journal Sensors (ISSN 1424-8220) (available at: https://www.mdpi.com/journal/sensors/special issues/teach IoT).
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-0365-0522-0
    Language: English
    Subjects: Engineering
    RVK:
    ZG 9225
    Keywords: Internet der Dinge ; Sensor ; Maschinelles Lernen ; Aufsatzsammlung
    DOI: 10.3390/books978-3-0365-0523-7
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    URL: kostenfrei
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Fulltext
    Fulltext
    EUV Frankfurt
  • 3
    Online Resource
    Online Resource
    Teaching and Learning Advances on Sensors for IoT (2021)
    Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    UID:
    almahu_9949281687702882
    Format: 1 electronic resource (122 p.)
    Content: This book focuses on all the technologies involved in improving the teaching and learning process of some of the sensor-based IoT topics, such as virtual sensors, simulated data acquisition, virtual and remote labs for IoT sensing, gamification experiences and innovative teaching materials, among others. In particular, the articles inside the book show excellent works about hot topics, such as: - Remote labs for IoT teaching, including the full development cycle. - Practical guides for IoT cybersecurity. - Innovative multimodal learning analytics architecture that builds on software-defined networks and network function virtualization principles. - Problem-based learning experiences using designed complex sensor-based IoT ecosystems with sensors, actuators, microcontrollers, plants, soils and irrigation systems. - Block-based programming extensions to facilitate the creation of mobile apps for smart learning experiences. The articles published in this book present only some of the most important topics about sensor-based IoT learning and teaching. However, the selected papers offer significant studies and promising environments.
    Note: English
    Additional Edition: ISBN 3-0365-0522-9
    Additional Edition: ISBN 3-0365-0523-7
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    HU Berlin
  • 4
    Online Resource
    Online Resource
    Teaching and Learning Advances on Sensors for IoT (2021)
    Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    UID:
    edocfu_9960410803402883
    Format: 1 electronic resource (122 p.)
    Content: This book focuses on all the technologies involved in improving the teaching and learning process of some of the sensor-based IoT topics, such as virtual sensors, simulated data acquisition, virtual and remote labs for IoT sensing, gamification experiences and innovative teaching materials, among others. In particular, the articles inside the book show excellent works about hot topics, such as: - Remote labs for IoT teaching, including the full development cycle. - Practical guides for IoT cybersecurity. - Innovative multimodal learning analytics architecture that builds on software-defined networks and network function virtualization principles. - Problem-based learning experiences using designed complex sensor-based IoT ecosystems with sensors, actuators, microcontrollers, plants, soils and irrigation systems. - Block-based programming extensions to facilitate the creation of mobile apps for smart learning experiences. The articles published in this book present only some of the most important topics about sensor-based IoT learning and teaching. However, the selected papers offer significant studies and promising environments.
    Note: English
    Additional Edition: ISBN 3-0365-0522-9
    Additional Edition: ISBN 3-0365-0523-7
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    FU Berlin
  • 5
    Online Resource
    Online Resource
    Teaching and Learning Advances on Sensors for IoT (2021)
    Basel, Switzerland : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    UID:
    edoccha_9960410803402883
    Format: 1 electronic resource (122 p.)
    Content: This book focuses on all the technologies involved in improving the teaching and learning process of some of the sensor-based IoT topics, such as virtual sensors, simulated data acquisition, virtual and remote labs for IoT sensing, gamification experiences and innovative teaching materials, among others. In particular, the articles inside the book show excellent works about hot topics, such as: - Remote labs for IoT teaching, including the full development cycle. - Practical guides for IoT cybersecurity. - Innovative multimodal learning analytics architecture that builds on software-defined networks and network function virtualization principles. - Problem-based learning experiences using designed complex sensor-based IoT ecosystems with sensors, actuators, microcontrollers, plants, soils and irrigation systems. - Block-based programming extensions to facilitate the creation of mobile apps for smart learning experiences. The articles published in this book present only some of the most important topics about sensor-based IoT learning and teaching. However, the selected papers offer significant studies and promising environments.
    Note: English
    Additional Edition: ISBN 3-0365-0522-9
    Additional Edition: ISBN 3-0365-0523-7
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Charité
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