Knowledge Mangement Systems

General

• Code: 86.11
• Semester: Optional Η1-Η2 8th
• Study Level: Undergraduate
• Course type: Optional
• Teaching and exams language: Ελληνικά
• The course is offered to Erasmus students
• Teaching Methods (Hours/Week): Theory (3)
• ECTS Units: 4
• Course homepage: https://exams-sm.the.ihu.gr/enrol/index.php?id=40

Course Contents

• Introduction to Knowledge Management Systems
• Principles of Knowledge Representation and Reasoning
• Structured Representations
• Rule Systems
• Characteristics, Structure and Operation of Knowledge Management Systems
• Development Process, Models, Knowledge Extraction
• Ontology Development Methodology
• Verification and Validation Check
• Advanced Reasoning
• Knowledge Systems Applications
• Rule System, Practical Part, Examples, Software

Educational Goals

The aim of the course is to teach students both the necessary theoretical knowledge and the practical tools of knowledge management systems.
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 knowledge management systems and their development and use methodologies
– be familiar with methods of developing knowledge management systems
– be able to make decisions and work individually and / or in teams to design, develop and manage knowledge management systems 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

1. W. Ertel, Introduction To Artificial Intelligence, Grigorios Chrysostomou Fountas, 2/2019, ISBN: 9789603307969
2. I. Vlachavas, P. Kefalas, N. Vassiliadis, F. Kokkoras, I. Sakellariou. Artificial Intelligence – Third Edition, University of Macedonia Publications, ISBN: 978-960-8396-64-7, 2006/2011.
3. Jackson P. Introduction to Expert Systems (3rd edition). Addison Wesley, ISBN 0-201-87686-8