IoT ecosystems architecture

Course: Software Technology Internet of Things

Structural unit: Faculty of information Technology

Title
IoT ecosystems architecture
Code
ОК.06
Module type
Обов’язкова дисципліна для ОП
Educational cycle
Second
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
4
Learning outcomes
The learning outcomes are: a) Know the concepts and understand the construction of architectures related to the industrial Internet of Things b) Know the existing models of the main manufacturers of smart sensors and their interaction mechanisms c) Know existing software solutions from data analysis services d) To be able to apply local computer networks, aggregators and routers for data transmission from smart hardware for the created ecosystems e) Be able to provide secure data transmission in the middle of the industrial network being created f) Be able to configure the interaction of IoT systems software with databases and create web interfaces for remote control of IoT systems. g) Development of students' practical skills in group solving of problems related to the development of IoT ecosystems h) Demonstrate an understanding of personal responsibility for the quality of work performed or proposals provided that may affect performance.
Form of study
Full-time form
Prerequisites and co-requisites
There are no prior requirements.
Course content
"Architecture of IoT ecosystems" is devoted to the study of issues necessary for the design and practical implementation of ecosystem software. The discipline studies issues related to the industrial Internet of Things, the inner world of ecosystems using smart sensors, communication and transmission systems, and data storage and analysis. The purpose of the discipline is to form knowledge, skills, and competencies in designing and implementing software in accordance with architectural solutions for Internet of Things systems that ensure the operation of ecosystems and are designed to produce and implement controlling influences on the technological management object.
Recommended or required reading and other learning resources/tools
– An Architecture for Interoperable IoT Ecosystems //https://www.arne-broering.de/IoT-WS-Paper_BIG-IoT-Architecture_v09.pdf – Serpanos D. Internet-of-Things (IoT) Systems: Architectures, Algorithms, Methodologies / Dimitrios Serpanos, Marilyn Wolf. – New York City : Springer, 2018. – 107 p. – Milenkovic M. Internet of Things: Concepts and System Design / Milan Milenkovic. – New York City : Springer, 2020. – 315 p. – Coiote IoT Application Enablement//https://www.avsystem.com/resources/iot-application-enablement/- 2022
Planned learning activities and teaching methods
Lectures, laboratory activities, individual work.
Assessment methods and criteria
During the semester, students in lecture classes take part in discussions on pre-prepared questions on the topic of the lecture class. The learner must speak at least once, but not more than three times, for which he receives from 7 minimum to 15 maximum points in lecture classes. Laboratory work is organized as a step-by-step implementation of an individual project, which is evaluated from 20 to 30 points after its defense in the form of a presentation and an explanatory note. During the semester, after the topics of the content module are completed, a thematic module test with open questions is conducted, which is evaluated from 9 to 15 points. In sum, based on the results of writing a modular control paper and project defense, the applicant can receive from 36 to 60 points in the semester. The discipline ends with an exam. Final assessment in the form of an exam: 40 points (40%) (assessment is carried out in written form in the form of tests).
Language of instruction
Ukrainian

Lecturers

This discipline is taught by the following teachers


Faculty of information Technology

Departments

The following departments are involved in teaching the above discipline

Faculty of information Technology