INTELLIGENT TECHNOLOGIES

Course Information
TitleΕΥΦΥΕΙΣ ΤΕΧΝΟΛΟΓΙΕΣ / INTELLIGENT TECHNOLOGIES
CodeΥΕ.008
Interdepartmental ProgrammeIPPS Education Sciences – Learning Technologies
Collaborating SchoolsEarly Childhood Education
Electrical and Computer Engineering
Medicine
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter/Spring
CoordinatorChristos Antonopoulos
CommonNo
StatusActive
Course ID600001687

Class Information
Academic Year2019 – 2020
Class PeriodWinter
Faculty Instructors
Weekly Hours5
Class ID
600152346
Course Type 2016-2020
  • Scientific Area
  • Skills Development
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
  • Distance learning
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
Prerequisites
General Prerequisites
Good knowledge of distance learning, collaborative learning and blended learning.
Learning Outcomes
Upon successful completion of this course, students will: 1. Broaden their knowledge of the areas of distance learning, collaborative learning and blended learning. 2. Understand the theoretical framework of intelligent technologies in education 3. Acquainted with appropriate applications of intelligent technologies in data modeling and especially in the area of fuzzy logic. 4. Experiment in training scenarios analyzing derived data with intelligent technologies.
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Make decisions
  • Work autonomously
  • Work in teams
  • Work in an interdisciplinary team
  • Generate new research ideas
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
L1: Presentation of the Course L2: Placing the Framework within the Educational Context L3: Understanding Online Learning Environments L4: Computer-Supported Collaborative Learning L5: Towards Blending Potentialities within a LMS: Definitions/Trends L6: Personal/Cloud Learning Environment/Web 3.0/ Ontologies L7: Placing the Framework within the Fuzzy Logic World L8: Fuzzy Logic Essentials/Fuzzy Logic-Based Inference System L9: Fuzzy Logic/Matlab environment L10: Massive Open Online Courses L11: Connecting the Educational and Fuzzy Worlds Course lectures (L1-L14) content: L12: Applications of Fuzzy Logic, Part I L13: Applications of Fuzzy Logic , Part II L14: Towards a Hybrid Modeling/ Project Guidelines
Keywords
Intelligent technologies, fuzzy logic, distance learning, collaborative learning, blended learning
Educational Material Types
  • Slide presentations
  • Video lectures
  • Audio
  • Multimedia
  • Interactive excersises
  • Book
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Description
ICT is used as a key element of the course, as those built on its content.
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures401.6
Laboratory Work401.6
Reading Assigment301.2
Project401.6
Written assigments261.0
Exams30.1
Total1797.2
Student Assessment
Student Assessment methods
  • Written Exam with Short Answer Questions (Formative)
  • Written Exam with Extended Answer Questions (Formative, Summative)
  • Written Assignment (Formative, Summative)
  • Oral Exams (Formative, Summative)
  • Performance / Staging (Formative, Summative)
  • Labortatory Assignment (Formative, Summative)
Bibliography
Course Bibliography (Eudoxus)
Fuzzy Logic-Based Modeling in Collaborative and Blended Learning Sofia J. Hadjileontiadou (Hellenic Open University, Greece), Sofia B. Dias (Universidade de Lisboa, Portugal), José A. Diniz (Universidade de Lisboa, Portugal) and Leontios J. Hadjileontiadis (Aristotle University of Thessaloniki, Greece) http://www.igi-global.com/book/fuzzy-logic-based-modeling-collaborative/126419
Additional bibliography for study
Towards an Intelligent Learning Management System Under Blended Learning Trends, Profiles and Modeling Perspectives Dias, Sofia B., Diniz, José A., Hadjileontiadis, Leontios J http://www.springer.com/fr/book/9783319020778
Last Update
13-05-2016