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 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 3) An ability to identify, formulate, and solve engineering problems 4) An understanding of professional and ethical responsibility
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Description of optimization, Calculation of extremes and parameter optimization, Lagrange multipliers. Manner criteria, Dynamic programming, Calculation of variations calculation and Pontryagin's minimum principle, Dynamic optimization in the face of equivalence and inequality, Hamilton-Jacobi-Bellmann equation, Matrice Riccati equation, optimization of discrete time control systems, Numerical solution methods of optimal control problems.
COURSE CONTENTS	WEEK TOPICS 1st Week Description of optimization 2nd Week Calculation of extremes and parameter optimization 3rd Week Lagrange multipliers 4th Week Manner criteria, Dynamic programing 5th Week Calculation of variations and Pontryagin's minimum principle 6th Week Dynamic optimization in the face of equivalence and inequality 7th Week Hamilton-Jacobi-Bellmann equation 8th Week MID TERM 9th Week Matrice Riccati equation 10th Week Matrice Riccati equation 11th Week Optimization of discrete time control systems 12th Week Optimization of discrete time control systems 13th Week Numerical solution methods of optimal control problems 14th Week Numerical solution methods of optimal control problems.
RECOMENDED OR REQUIRED READING	Global Methods in Optimal Control Theory, Krotov, Vadim F., Marcel Dekker, Inc., Newyork
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Questions/Answers,Lecture,Problem Solving,Practice
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 35 Assignment 4 15 Project 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 3 3 Preparation for Quiz Individual or group work 14 4 56 Preparation for Final exam 1 40 40 Course hours 14 3 42 Preparation for Midterm exam 1 25 25 Laboratory (including preparation) Final exam 1 3 3 Homework 4 15 60 Presentation (including preperation) 1 2 2 Project 1 70 70 Total Workload 301 Total Workload / 30 10,03 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No