Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Graduate School of Sciences
  • Department of Geosciences
  • Master of Science (MS) Degree
  • Course Structure Diagram with Credits
  • System Identification and Structural Health Monitoring
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title YBL529 - System Identification and Structural Health Monitoring
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ ONUR KAPLAN
Mode of Delivery The mode of delivery of this course is face-to-face and/or online
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course
Required or Recommended Resources D.J. Ewins, Modal Testing: Theory and Practice
Recommended Reading List System Identification Theory for the User, Ljung, Lennart, Prentice-Hall, 1999.
Assessment methods and criteria 1 Midterm + 1 take home exam + 1 Final exam
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Structural Health Monitoring: Basic Principles
Week - 2 Ambient and Forced Vibration Measurements
Week - 3 Vibration Measurements in Structures
Week - 4 Vibration Signal Processing
Week - 5 MATLAB Tools for Signal Processing and System Identification
Week - 6 Frequency-Based Modal Parameters Determination
Week - 7 Time-Based Modal Parameters Determination
Week - 8 Deterministic System Identification Techniques
Week - 9 Stochastic System Identification Techniques
Week - 10 Vibration-Based Damage Detection Techniques
Week - 11 Model Calibration Techniques
Week - 12 MATLAB Applications
Week - 13 ARTEMIS Software Application
Week - 14 GEOPSY Software Application

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Discussion
  • Question & Answer
  • Team/Group Work
  • Experiment
  • Drill - Practise
  • Case Study
  • Problem Solving
  • Report Preparation and/or Presentation
  • Competences
  • Questoning
  • Follow ethical and moral rules
  • Work in teams
  • Use time effectively
  • Problem solving
  • Information Management
  • Decision making
  • To work in interdisciplinary projects

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100
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