ANALYSĪ KAI SYNTHESĪ SYSTĪMATŌN ME TĪ VOĪTHEIA Ī/Y

Course Information
TitleΑΝΑΛΥΣΗ ΚΑΙ ΣΥΝΘΕΣΗ ΣΥΣΤΗΜΑΤΩΝ ΜΕ ΤΗ ΒΟΗΘΕΙΑ Η/Υ / ANALYSĪ KAI SYNTHESĪ SYSTĪMATŌN ME TĪ VOĪTHEIA Ī/Y
CodeΣΜΥ022
FacultySciences
SchoolMathematics
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter/Spring
CoordinatorNikolaos Karampetakis
CommonNo
StatusActive
Course ID600025958

Programme of Study: PMS Tmīmatos Mathīmatikṓn (2025-2030)

Registered students: 0
OrientationAttendance TypeSemesterYearECTS
STATISTIKĪ, MONTELOPOIĪSĪ KAI YPOLOGISTIKES METHODOIElective Courses belonging to the selected specializationWinter-10

Class Information
Academic Year2025 – 2026
Class PeriodWinter
Faculty Instructors
Weekly Hours3
Total Hours39
Class ID
600268405
Course Type 2021
Specialization / Direction
Mode of Delivery
  • Face to face
Digital Course Content
Language of Instruction
  • Greek (Instruction, Examination)
Learning Outcomes
Control Theory, Basic principles in Compuetr Programming
General Competences
  • Apply knowledge in practice
  • Make decisions
  • Work autonomously
  • Work in teams
  • Generate new research ideas
  • Be critical and self-critical
  • Advance free, creative and causative thinking
Course Content (Syllabus)
Introduction to MATLAB, programming in MATLAB, introduction to SIMULINK, frequency domain analysis, state-space analysis, classical design, state-space design, digital control, linear quadratic control, Riccati equations, robust control, analysis and design of linear time invariant multivariable systems with Control Systems Professional/Mathematica.
Keywords
clasical control theory, modern control theory, matlab, simulink, programming
Educational Material Types
  • Notes
  • Slide presentations
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
Course Organization
ActivitiesWorkloadECTSIndividualTeamworkErasmus
Lectures39
Laboratory Work150
Reading Assigment108
Exams3
Total300
Student Assessment
Description
The final grade is based on an assessment of the student's performance in individual weekly assignments (30% of the final grade) and a written exam or individual assignment (70% of the final grade). Students practice individually and present their work according to the laboratory's instructions.
Student Assessment methods
  • Written Assignment (Summative)
  • Performance / Staging (Summative)
  • Written Exam with Problem Solving (Summative)
Bibliography
Additional bibliography for study
Norman Nise, 2011, Control Systems Engineering, Sixth Edition, Willey and Sons Inc. Hanselman D.C. and B.C. Kuo (1995), Matlab Tools for Control System Analysis and Design. Prentice-Hall; London. Ogata K. (2002). Modern Control Engineering, 4rth Edition, Pearson Education, Prentice-Hall; London. Shahian B. and M. Hassul (1993). Control System Design Using Matlab. Prenti­ce-Hall; London. J. B. Dabney, T. L. Harman, 2001, Mastering Simulink 4, Prentice Hall. Richard C. Dorf, Robert H. Bishop, 2003, Σύγχρονα Συστήματα Αυτομάτου Ελέγχου, Εκδόσεις Τζιόλα. Γ. Π. Σύρκος, και Ι.Κ. Κούκος, 2002, Εισαγωγή στη Σχεδίαση Συστημάτων Ελέγχου με το MATLAB, Διαθέτης : Παπασωτηρίου. Ε. Χατζίκος, 2003, Matlab για Μηχανικούς, Εκδόσεις Τζιόλα. E. B. Magrab, S. Azarm, B. Balachandran, J. H. Duncan, K.E. Herold, G.C. Walsh, 2005, An engineerʼs guide to Matlab with applications from Mechanecal, Aerospace, Electrical and Civil Engineering, 2nd Ed., Pearson Education Inc., Prentice-Hall; London.
Last Update
22-05-2025