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)	Professor Sedat Nazlıbilek
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) To be able to make modeling of systems under the influence of nonlinear distorting factors. 2) To understand the models of linear time-invariant systems. 3) Estimation of known and unknown noise model. 4) Having knowledge of modeling of time varying and nonlinear systems.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None.
COURSE DEFINITION	Systems and models. Modeling concept, model types and examples. Comparison of mathematical modeling and system recognition. Flow chart of system recognition, basic definitions and concepts. Nonparametric methods in system identification; transition function, frequency response methods. Frequency Response Methods of Nonlinear Disruptions. The Concept of Continuous Warning, Constant Warning Signs. Frequency Response Methods of Nonlinear Disruptions, Model Constitution of Linear Time Invariant Systems. Estimation of Known and Unknown Noise Model. Model Structure Selection and Verification.
COURSE CONTENTS	WEEK TOPICS 1st Week Systems and Models, Modeling Concept, Model Types and Examples, Mathematical Modeling and System Identification. 2nd Week Flow chart of system recognition, basic definitions and concepts. 3rd Week Nonparametric methods in system identification. 4th Week Transition function, frequency response methods. 5th Week Frequency Response Methods of Nonlinear Disruptions. 6th Week Frequency Response Methods of Nonlinear Disruptions. 7th Week The Concept of Continuous Warning, Constant Warning Signs. 8th Week MIDTERM 9th Week Model Constitution of Linear Time Invariant Systems. 10th Week Estimation of Known Noise Model. 11th Week Estimation of Known Noise Model. 12th Week Estimation of Unknown Noise Model. 13th Week Model Structure Selection and Verification. 14th Week Model Structure Selection and Verification.
RECOMENDED OR REQUIRED READING	1. System Identification, R.Pintelon, J. Schoukens, IEEE press, 2001. 2. System Identification,2nd ed., L. Ljung, Prentice Hall,1999.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 35 Project 1 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 0 0 0 Individual or group work 14 8 112 Preparation for Final exam 1 40 40 Course hours 14 3 42 Preparation for Midterm exam 1 30 30 Laboratory (including preparation) 0 0 0 Final exam 1 3 3 Homework 2 35 70 Total Workload 300 Total Workload / 30 10 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No