TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Doctorate Of Science
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	Assistant Professor Bedi Cenk Balçık
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Ability An ability to apply knowledge of mathematics, science, and engineering. 2) An ability to design and conduct experiments, as well as to analyze and interpret data. 3) An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability. 4) An ability to identify, formulate, and solve engineering problems. 5) An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	ling of complex systems, Lagrange equations. Bond diagrams. System identification, estimation of transient response, spectrum and frequency functions. Least squares estimation. Parametric identification of dynamic systems. Validation of models.
COURSE CONTENTS	WEEK TOPICS 1st Week Models for systems and signals 2nd Week Basic testing and identification methods 3rd Week Basic concepts of linear system theory, probability and stochastic processes. 4th Week Basic concepts of linear system theory, probability and stochastic processes. 5th Week Basic concepts of linear system theory, probability and stochastic processes. 6th Week Fourier analysis of signals 7th Week Least squares estimation. 8th Week MIDTERM 9th Week Identification of transfer function models by parametric methods 10th Week Identification of transfer function models by parametric methods 11th Week Identification of transfer function models by parametric methods 12th Week Spectral estimation. 13th Week Spectral estimation. 14th Week Design samples
RECOMENDED OR REQUIRED READING	Modeling Identification and Simulation of Dynamic Systems P.P.J. van den Bosch, A.C. van der Klauw, CRC Press 1994 Modeling of Dynamic Systems L. Ljung and T. Glad Prentice Hall 1994 System Modeling and Identification R.Johanessen Prentice Hall 1993 L. Ljung: System Identification: Theory for the User. Prentice Hall 1999, 2nd ed.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 35 Assignment 5 20 Total(%) 55 Contribution of In-term Studies to Overall Grade(%) 55 Contribution of Final Examination to Overall Grade(%) 45 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 3 3 Preparation for Quiz Individual or group work 14 3 42 Preparation for Final exam 1 50 50 Course hours 14 3 42 Preparation for Midterm exam 1 30 30 Laboratory (including preparation) Final exam 1 3 3 Homework 5 25 125 Total Workload 295 Total Workload / 30 9,83 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No