Introduction to IoT

Course: Software Technology Internet of Things

Structural unit: Faculty of information Technology

Title
Introduction to IoT
Code
ОК.32
Module type
Обов’язкова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2021/2022
Semester/trimester when the component is delivered
1 Semester
Number of ECTS credits allocated
3
Learning outcomes
The main tasks of studying the discipline are - to give students theoretical and practical training in the field of design and operation of technical means of modern computer equipment, namely, Internet of Things technology. - know the principles of building hardware and software; the current state and prospects for the development of telecommunication systems. - to be able to work with modern hardware and software of telecommunication systems and technologies at the initial level. - be able to use modern information systems and technologies (production, decision support, intelligent data analysis, and others), methods and techniques when performing functional tasks and duties.
Form of study
Full-time form
Prerequisites and co-requisites
Course content
The meaningful aspect of the course is related to informational and psychological help in understanding the professional choice made by applicants of the specialty "Information systems and technologies" and the educational program "Software technologies of the Internet of things. The discipline includes a range of questions of a general and informative nature regarding the history of the development of information technologies, its individual directions, differences between them, principles of operation, devices and systems, forms and types of information technologies and information products of IoT. Students are introduced separately to the main software technologies of the Internet of Things. In particular, the processes of development and establishment of the Internet of Things in the modern progressive society and technological world; introduction of the Internet of Things in everyday life, technological complexes, production, medicine, education and other areas of life.
Recommended or required reading and other learning resources/tools
1. Technologies of the Internet of Things. Training manual [Electronic resource]: training. manual for students specialty 126 "Information systems and technologies", specialization "Information support of robotic systems" / B. Yu. Zhurakovskyi, I.O. Zeniv; KPI named after Igor Sikorsky. – Electronic text data (1 file: 12.5 MB). – Kyiv: KPI named after Igor Sikorskyi, 2021. – 271 p. 2. Berger, Lars T. and Iniewski, Krzysztof, eds. (April 2012). Smart Grid - Applications, Communications and Security. John Wiley and Sons. ISBN 978-1-1180-0439-5. 3. Cisco's Latest Consumer Play: The Smart Grid: Cleantech News and Analysis. Earth2tech.com Retrieved on 2011-05-14. 4. Samuel Greengard. Internet of things. Translated by O. A. Gerasimchuk - K. KSD, 2018, 176 p.
Planned learning activities and teaching methods
Lectures, laboratory classes, independent work
Assessment methods and criteria
The current assessment is conducted in the form of a survey of students on the topics of previous lectures and the completed laboratory work, as well as an intermediate test from the Cisco Introduction to IoT academy course. Winners perform 8 laboratory works, each of which is valued at 7 points. Final assessment is conducted in the form of testing and execution of modular control work. The applicant performs complex testing, which contains questions of theoretical and practical level. The applicant is admitted to the final assessment on the condition that he passes and defends all the laboratory works provided for in the plan and obtains at least 48 points during the semester. The work is considered submitted on time when the defense takes place on the next pair after the task is issued, unless other deadlines are notified by the teacher. The final grade is determined by summing up the points of the semester work and the final module test.
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