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Internet of things in education.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Internet of things in education.
Συγγραφείς: Kostadinov, Atanas, Kolev, Krassimir
Πηγή: AIP Conference Proceedings; 2024, Vol. 3063 Issue 1, p1-6, 6p
Θεματικοί όροι: Internet of things, Internet in education, Computer systems, Systems development, Educational background
Περίληψη: This paper proposes a syllabus for training students from schools or universities, as well as specialists with different educational backgrounds on the Internet of Things (IoT) discipline. The topics of lectures and lab (practical) exercises are presented. Step by step the main points of the themes are synthesized. IoT computer systems development is described, too. The algorithms of corresponding programs are suggested. In these lectures and laboratory exercises, the experience of the authors is used, as well as similar syllabuses from several universities. [ABSTRACT FROM AUTHOR]
Copyright of AIP Conference Proceedings is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Data: This paper proposes a syllabus for training students from schools or universities, as well as specialists with different educational backgrounds on the Internet of Things (IoT) discipline. The topics of lectures and lab (practical) exercises are presented. Step by step the main points of the themes are synthesized. IoT computer systems development is described, too. The algorithms of corresponding programs are suggested. In these lectures and laboratory exercises, the experience of the authors is used, as well as similar syllabuses from several universities. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of AIP Conference Proceedings is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1063/5.0195732
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      – Code: eng
        Text: English
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        PageCount: 6
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      – SubjectFull: Internet of things
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      – SubjectFull: Computer systems
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              Text: 2024
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