Internet of things - course description

General information

Course name	Internet of things
Course ID	06.0-WE-ELEKTD-IofT-CSP-Er
Faculty	Faculty of Computer Science, Electrical Engineering and Automatics
Field of study	Electrical Engineering
Education profile	academic
Level of studies	Second-cycle Erasmus programme
Beginning semester	summer term 2024/2025

Course information

Semester	3
ECTS credits to win	6
Course type	obligatory
Teaching language	english
Author of syllabus	dr hab. inż. Wiesław Miczulski, prof. UZ dr inż. Emil Michta, prof. UZ

Classes forms

The class form	Hours per semester (full-time)	Hours per week (full-time)	Hours per semester (part-time)	Hours per week (part-time)	Form of assignment
Lecture	15	1	-	-	Credit with grade
Laboratory	30	2	-	-	Credit with grade
Project	15	1	-	-	Credit with grade

Aim of the course

to familiarize students with the basics of construction, operation and applications of Internet of Things (IoT),
to familiarize students with the architecture selected communication and communication protocols used in the IoT,
shaping basic skills among students in configuring and programming nodes to work in IoT.

Prerequisites

Basics of programing,
Measurement transducers,
Microprocessor technique.

Scope

Evolution of measurement and control systems. IoT concept. Introduction to the architecture of IoT. Communication and functional structure of IoT. Configuring and ensuring security in IoT. Examples of applications and cooperation of architecture IoT in various topologies. IoT hubs and gateways. Cloud Computinig in IoT. Cloud computing. Basics of cloud computing, servers and services in the cloud. IoT and integration with cloud computing services. The most important services and the possibilities of their use. Sharing and subscribing to selected services. Building IT applications that use selected services and integrate IT systems on the Internet of Things. Areas of application the Internet of Things: smart city, smart grid, smart building.

Teaching methods

Lecture: conventional lecture, problem lecture, discussion

Laboratory: working with source document, group work, laboratory exercises

Project: project method, group work, discussion, consultation.

Learning outcomes and methods of theirs verification

Outcome description	Outcome symbols	Methods of verification	The class form

Assignment conditions

Lecture – the passing condition is to obtain positive marks in written or oral tests conducted at least once a semester.
Laboratory – the passing condition is to obtain positive marks from all laboratory exercises to be planned during the semester.

Project - the passing condition is to obtain positive marks from the project documentation and oral presentation.

Calculation of the final grade: lecture 35% + laboratory 35% + project: 30%.

Notes

Modified by dr hab. inż. Wiesław Miczulski, prof. UZ (last modification: 14-04-2024 11:53)

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