TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Master's Degree With Thesis
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	Assistant Professor Andaç Töre Şamiloğlu
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) 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	Introduction to modern control theory, Description of a system at state space, State space and state space form of equations, Coordinate transformation , Eigenvalues and eigenvectors, Canonical forms and indepented systems, Time response of system, State transient matrices and Laplace transform methods, Controlability and observable, Lyapunov stability Analysis, State space controller design, Pole placement method, Ackermann Formula, State space observer design, Servo system design, Quadratic optimal control systems, Design samples.
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction to modern control theory 2nd Week Description of a system at state space 3rd Week State space and state space form of equations, coordinate transformation 4th Week Eigenvalues and ve eigenvectors 5th Week Canonical forms and indepented systems 6th Week Time response of systemS 7th Week State transient matrices and Laplace transform methods 8th Week MİD TERM 9th Week Controlability and observable, Lyapunov stability Analysis 10th Week State space controller design, Pole placement method 11th Week Ackermann Formula, State space observer design 12th Week Servo system design 13th Week Quadratic optimal control systems 14th Week Design samples
RECOMENDED OR REQUIRED READING	Linear system theory and design, Cho Tsong-Chen, Oxford Universty press
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Practice,Lecture,Project
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 35 Assignment 4 10 Quiz 2 5 Attendance 1 5 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 2 2 Preparation for Quiz 2 8 16 Individual or group work 14 5 70 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 2 2 Homework 4 20 80 Quiz 2 ,5 1 Total Workload 293 Total Workload / 30 9,76 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No