Smart Industrial Production Systems

Course Syllabus

Course Code:Θ08
Semester:Elective courses – Winter semester
ECTS units:3
Weekly Teaching Hours:3
Course Page:https://eclass.duth.gr/courses/TME239/
Instructors:KOULOURIOTIS DIMITRIOS

Course Description

Basic concepts, principles and applications of intelligent systems. Intelligent Techniques and Systems: adaptive and hybrid systems with fuzzy, neural, empirical – rule-based systems, fuzzy graphs, etc. Training – adaptation algorithms. Applications in control, supervision, modeling, prediction, system diagnosis, decision making, optimization, etc.

Purpose of the course

The aim of the course is to provide students with the necessary background knowledge, thinking – perception and skills for the design and development of integrated computer intelligent systems oriented to technological and scientific applications in industrial production, management, decision systems, robotics, artificial vision, quality control, etc.

More specifically, the learning objectives concern:

  1. Contact and knowledge of the operation and applications of intelligent and experienced systems, adaptive systems, hybrid AI and AI systems
  2. To search, study and synthesize articles from the international scientific literature around a scientific/technical problem. Manage bibliographic references correctly.
  3. Analyse the problem and synthesise the solution
  4. use (program) specialised software to develop relevant applications
  5. prepare technical reports and present their work
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