Internet of things - course description

General information

Course name	Internet of things
Course ID	11.3--INFP-IP-Er
Faculty	Faculty of Computer Science, Electrical Engineering and Automatics
Field of study	Computer Science
Education profile	academic
Level of studies	First-cycle Erasmus programme
Beginning semester	winter term 2022/2023

Course information

Semester	6
ECTS credits to win	5
Course type	optional
Teaching language	english
Author of syllabus	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
Project	15	1	-	-	Credit with grade
Laboratory	15	1	-	-	Credit with grade
Lecture	30	2	-	-	Credit with grade

Aim of the course

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

Prerequisites

Computer networks, wireless networks, databases.

Scope

The evolution of computer networks. Technical basics of the internet. IoT concept. Introduction to IoT architecture. IoT communication and functional structure. Configuring and ensuring security in IoT. Examples of applications and interoperability of IoT architecture in various topologies. Wireless sensor networks. IoT hubs and gateways. Cloud Computing in IoT. Cloud computing. Basics of cloud computing, servers and services in the cloud. IoT and integration with cloud computing services. Microsoft Azure platform in cloud computing tasks. Using selected possibilities of the Microsoft Azure platform. Sharing and subscribing to selected services. Construction of IT applications using selected services and integrating IT systems in the Internet of Things. The evolution of IoT architecture. Areas of application for the Internet of Things: smart city, smart grid, smart building, smart health. Directions for further development, requirements, and organizations.

Teaching methods

wykład: dyskusja, konsultacje, wykład konwencjonalny,

laboratorium: dyskusja, konsultacje, praca w grupach, ćwiczenia laboratoryjne,

projekt: dyskusja, konsultacje, praca w grupach, metoda projektu.

Learning outcomes and methods of theirs verification

Outcome description	Outcome symbols	Methods of verification	The class form

Assignment conditions

Wykład - warunkiem zaliczenia jest uzyskanie pozytywnej oceny z egzaminu pisemnego,

Laboratorium - warunkiem zaliczenia jest uzyskanie pozytywnych ocen ze wszystkich ćwiczeń laboratoryjnych, przewidzianych do realizacji w ramach programu laboratorium,

Projekt – warunkiem zaliczenia jest wykonanie zadania projektowego zleconego przez prowadzącego zajęcia.

Składowe oceny końcowej = wykład: 40% + laboratorium: 30% + projekt 30%.

Notes

Modified by dr inż. Emil Michta, prof. UZ (last modification: 14-04-2022 21:38)

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