🔵 🔴 🟡 Course description

Upon successful completion of the course, students will be able to: - Understand the basic principles of pervasive and ubiquitous computing systems - Design and implement pervasive computing applications - Integrate sensors, IoT devices and networks - Analyze contextuality, privacy and security issues - Evaluate real-world applications in smart environments.

🔵 🔴 🟡 Theory (2 hours)

• Introduction to Pervasive Computing – basic concepts, historical development, applications
• Distributed Systems Architectures – cloud, edge, fog, middleware
• Internet of Things (IoT) – sensors, devices, ecosystems
• Communication Networks & Protocols – WSN, MQTT, CoAP
• Context Awareness – modelling and adaptation
• Human-Computer Interaction in Pervasive Environments
• Smart Environments & Smart Cities
• Pervasive Computing in Culture and the Creative Industries
• Distributed Systems Data Management & Visualization
• Security, Privacy, and Ethical Considerations
• Design & Development of Distributed Computing Applications
• Case Studies & Interim Presentations of Projects
• Final Presentations & Course Review

🔵 🔴 🟡 Workshop (1 hour)

• Introduction to Pervasive Computing – basic concepts, historical development, applications
• Distributed Systems Architectures – cloud, edge, fog, middleware
• Internet of Things (IoT) – sensors, devices, ecosystems
• Communication Networks & Protocols – WSN, MQTT, CoAP
• Context Awareness – modelling and adaptation
• Human-Computer Interaction in Pervasive Environments
• Smart Environments & Smart Cities
• Pervasive Computing in Culture and the Creative Industries
• Distributed Systems Data Management & Visualization
• Security, Privacy, and Ethical Considerations
• Design & Development of Distributed Computing Applications
• Case Studies & Interim Presentations of Projects
• Final Presentations & Course Review

Review language: Greek

🔵 🔴 🟡 Evaluation method:

The course is examined by written exams. During the semester, students participate in the lectures, implement a group project and are examined in the mid-term (progress) exam and the final written exam of the semester.

1. Written final examination (GE) (50%) - Benchmarking of theory elements

2. Intermediate Written Examination (P) (20%)

3. Teamwork (OE) (30%)

4. Group exercise: 1) Placing objects in the space. 2) Creation and Installation of cameras. 3) Materials and Maps (Material Editor). 4) Lighting and special effects. 5) Presentation of Assignments.

Note: The grade of the course (GE*0.5+P*0.2+OE*0.3) must be at least five (5.0).

• Face-to-face
• Software for creating virtual interactive constructions (tinkercad)
• Software for programming the microcontroller (Arduino IDE)
• Using an Arduino Microcontroller to Create Physical Interactive Devices
• Use of slides, audiovisual examples
• Laboratory and practical exercises using relevant software
• Use of e-class

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🔵 🔴 🟡 Course Textbooks [Eudoxus]

• Mitropoulos, Sarantis and Christos Douligeris. "Distributed Information Systems and Their Management." (2023).
• D. Gavalas, V. Kasapakis, Th. Hatzidimitris, Mobile Technologies, Ed. New Technologies, 2015.
• K. Chorianopoulos, The Programming of Interaction, Korfiatis, 2016
• J. Krumm, Ubiquitous Computing Fundamentals, CRC Press, 2016