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Industrial IoT - course description

General information
Course name Industrial IoT
Course ID 11.9-WE-INFD-IndIoT-Er
Faculty Faculty of Computer Science, Electrical Engineering and Automatics
Field of study Computer Science
Education profile academic
Level of studies Second-cycle Erasmus programme
Beginning semester winter term 2022/2023
Course information
Semester 2
ECTS credits to win 4
Course type obligatory
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
Lecture 15 1 - - Credit with grade
Laboratory 30 2 - - Credit with grade
Project 15 1 - - Credit with grade

Aim of the course

- Acquaintance with the basics of functioning and IIoT technologies,

- Mastering the principles of designing and implementing IIoT systems,

- Analysis of network traffic in IIoT systems.

 

Prerequisites

Basics of computer and industrial networks. Safety engineering, machine learning.

Scope

Introduction to Industrial Internet of Things (IIoT). IIoT architecture. IIoT platforms. Sensors and actuators in IIoT networks. IIoT hubs and gates. Communication with IIoT nodes. IIoT communication protocols. Data collection and processing. IIoT security. Rules for creating IIoT applications, quick application prototyping. OT and IT technologies in IIoT applications. Network traffic analysis. IIoT integration with the enterprise network and production analysis. Designing IIoT systems. Centralized and distributed systems. Network Services. Machine learning in edge analysis IIoT. Differences between IIoT and IoT and WoT. IIoT applications.

Teaching methods

lecture: discussion, consultation, conventional lecture,
laboratory: discussion, consultation, group work, laboratory exercises,
project: discussion, consultation, group work, project method.

Learning outcomes and methods of theirs verification

Outcome description Outcome symbols Methods of verification The class form

Assignment conditions

Lecture - the pass condition is to obtain a positive grade from the colloquium,
Laboratory - the condition of getting credit is obtaining positive grades from all laboratory exercises, planned to be implemented under the laboratory program,
Project - the condition for getting credit is the completion of a design task commissioned by the teacher.
Components of the final grade = lecture: 30% + laboratory: 40% + project 30%.

Recommended reading

  1. Guinard D.D.: Internet rzeczy. Helion, 2017. (in polish)
  2. Hanes D. i inni: IoT Fundamentals: Networking Technologies, Protocols, and Use Cases. Cisco, 2017.
  3. Jeschke S.: Industrial Internet of Things: Cybermanufacturing Systems. Springer, 2016. 
  4. Slana D. i inni: Enterprise IoT. O'Reilly Media Inc. USA, 2015.

Further reading

  1. Lobel L., Boyd E. D., Microsoft Azure SQL Database. Krok po kroku, Helion, 2014. (in polish)
  2. Vermesan O., Friess P., Internet of things: converging technologies for smart environments and integrated ecosystems. River Publishers, 2013.
  3. Zhou H., The Internet of Things in the Cloud: A Middleware Perspective, CRC Press, 2013.

Notes


Modified by dr inż. Emil Michta, prof. UZ (last modification: 14-04-2022 21:39)