This Learning Object is part of the Greek Master degree in “Digital Technologies and Smart Infrastructures in Agriculture” and its objective is the specialization in the scientific domain of smart technologies and infrastructures across the agri-food supply chain and the protection of the environment
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Module details
Participants will be able to design and implement basic CPS components, integrate hardware/software, and evaluate system performance
Proposer: Agricultural University of Athens
Module designer: Department of Natural Resources Development and Agricultural Engineering
Organization: Agricultural University of Athens
Duration: 8h
ECTS: 18
Tools required:
Computer with network
Shortcut access code: No
Year of pubblication: 2026
Topics
Tags: cyber-physical systems, hierarchical design, multimodal perception, smart control systems
Subject areas: Communication and Cyber-physical Systems, Sustainability
Delivery methods: E-Learning Asynchronous
Teaching methods: Lectures
Learning objectives
- Provide understanding of cyber-physical systems (CPS), including integration of sensors, actuators, and control mechanisms in smart infrastructures
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Defining the role of cyber-physical systems
Introduction to cyber-physical systems and their importance
Description: Explains the concept of cyber-physical systems as integration and coordination entities of computational and physical components, highlights their role in automation, monitoring, and intelligent controlDuration: 1hTeacher: Loukatos DimitriosDelivery method: E-Learning AsynchronousTeaching method: LecturesRequired tools: Computer with network -
Selecting sensors, actuators, microcontrollers and network entities
Selection of hardware components for CPS
Description: Focuses on choosing appropriate sensors, actuators, and microcontrollers for cyber-physical systems, based on system requirements and constraintsDuration: 1hTeacher: Arvanitis Konstantinos G.Delivery method: E-Learning AsynchronousTeaching method: LecturesRequired tools: Computer with network -
Automatic control fundamentals
Basics of automatic control systems
Description: Introduces fundamental control theory concepts, including feedback systems and system stability, essential for CPS operationDuration: 1hTeacher: Arvanitis Konstantinos G.Delivery method: E-Learning AsynchronousTeaching method: LecturesRequired tools: Computer with network -
Multimodal event handling
Handling multiple types of system events
Description: Explores techniques for managing different types of events having diverse temporal and spacial characteristics, thus ensuring coordinated and efficient system responseDuration: 1hTeacher: Loukatos DimitriosDelivery method: E-Learning AsynchronousTeaching method: LecturesRequired tools: Computer with network -
Interconnecting different modules and systems
Integration of CPS components
Description: Focus on the challenges of system integration, enabling communication and cooperation between different modules via a high-level orchestrationDuration: 1hTeacher: Loukatos DimitriosDelivery method: E-Learning AsynchronousTeaching method: LecturesRequired tools: Computer with network -
Incorporating intelligent functions for autonomous operation
Particular focus on the flawless incorporation of intelligent modules into the CPS
Description: Showcases methods of incorporating intelligent modules (either computation-based or machine learing-based ones) into the system in order to provide a fully functioning wholeDuration: 1hTeacher: Loukatos DimitriosDelivery method: E-Learning AsynchronousTeaching method: LecturesRequired tools: Computer with network -
Smart systems for renewable energy harvesting
CPS applications in energy harvesting
Description: Presents smart systems designed for renewable energy harvesting, focusing on efficiency and sustainabilityDuration: 1hTeacher: Papadakis GeorgiosDelivery method: E-Learning AsynchronousTeaching method: LecturesRequired tools: Computer with network -
Recording and evaluating the behavior of intelligent machines
Monitoring and evaluating CPS performance
Description: Focus on data recording and performance evaluation methods of intelligent systems, supporting system optimization and reliabilityDuration: 1hTeacher: Loukatos DimitriosDelivery method: E-Learning AsynchronousTeaching method: LecturesRequired tools: Computer with network