Courses

Reliability Management on the Internet of Things

General

Course Contents

• Introduction to the Internet of Things and trust management
• Infrastructure and equipment of the Internet of Things
• Internet of Things applications
• Reference architecture, scaling, standardization and trustworthiness
• Artificial Intelligence Technologies and Intelligent Agents on the Internet of Things
• Knowledge Representation and Communication
• Trustworthiness management models
• Game Theory, Social Choice Theory
• Negotiation
• Argumentation / Logical Argumentation
• Interoperability and Ontological Approaches
• Embedded Systems, Development Platforms, Operating Systems
• Learning, Systems Development, Simulation, Practical Part, Examples

Educational Goals

The aim of the course is to teach students both the necessary theoretical knowledge and the practical tools of the Internet of Things as well as trustworthiness management in it.
Upon successful completion of the course students will:
– be able to apply knowledge in practice, search, analyze and synthesize data and information using the necessary technologies
– be able to recognize and distinguish the principles and key features of trustworthiness on the Internet of Things and its development and use methodologies
– be able to describe the principles of trustworthiness and the Internet of Things, analyze and design systems and evaluate, compare and select the most appropriate methods in each case they study
– be familiar with methods of developing trust management systems and the Internet of Things
– is able to make decisions and work individually and / or in teams to design, develop and manage system applications

General Skills

Research, analysis and synthesis of data and information
Using corresponding technologies
Setting objectives
Project design
Setting priorities
Decision making
Monitoring results
Autonomous work
Developing new research ideas
Adherence to good practice guidelines

Teaching Methods

Lectures
Exercises
Project assignments
Online guidance
Projected presentations
E-mail communication
Online synchronous and asynchronous teaching platform (moodle).
Interactive teaching

Students Evaluation

Assessment Language: English / Greek
The final grade of the course is formed by a written final exam and project.
The written final exam may include: Solving problems of applying the acquired knowledge, Short answer questions, multiple choice questions.

Recommended Bibliography

Kalovrectis K. (2018) Basic Structures of Embedded Systems. Markella I. ISBN: 978-960-7996-80-0
Kalovrectis K., (2018) Measurement and Control Sensors, 3rd Edition. PUBLICATIONS A. TZIOLA & SONS SA ISBN: 978-960-418-758-4
Russell S. & Norvig P. (2009). Artificial Intelligence: A Modern Approach (3rd Edition). Pearson, UK. ISBN 0136042597