Course: Industrial Internet of Things
Code: 3ФЕИТ01005
ECTS points: 6 ECTS
Number of classes per week: 3+0+0+3
Lecturer: Assoc. Prof. Dr. Goran Stojanovski
Course Goals (acquired competencies): This course will introduce the concepts of Industrial Internet of Things to the students. After passing the course, the students will be able to use and implement IIoT-specific advanced and modern methods of control, supervision, optimization and security when working with real-world industrial systems.
Course Syllabus: Introduction: Basic concepts of Industrial Internet of Things (IIoT), Industry 4.0. Cyber-physical systems in industry and manufacturing. Modeling of cyber-physical systems: mathematical modeling, identification, model evaluation and model verification. Industrial communication and networking: industrial communication protocols and standards, cryptographic security of industrial communication. The role of AI in industry: smart factories, machine learning for industrial process optimization. BigData: working with large quantities of data, acquisition, manipulation, sorting, analysis, BigData in industry. Overview of IIoT platforms of the world’s leading industrial manufacturers and companies.
Literature:
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Required Literature |
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No. |
Author |
Title |
Publisher |
Year |
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1 |
S. Jeschke, et. al. | Industrial Internet of Things | Springer | 2017 |
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2 |
T. Devezas, J. Leitao, A. Sarygulov | Industry 4.0 | Springer | 2017 |
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Additional Literature |
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No. |
Author |
Title |
Publisher |
Year |
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1 |
A. Gilchrist | Industry 4.0 – The Industrial Internet of Things | Apress | 2017 |
