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)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Learn optical elements and sensors. 2) Performs optical designs by making ray and physical optics based calculations. 3) Know passive and active imaging methods and system designs. 4) Learn optical control systems, countermeasures and protection techniques. 5) Learn image processing, detection and dynamic learning algorithms in embedded systems. 6) able to read and interpret patents and technical reports describing the working principles of optical-based defense systems.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	none
COURSE DEFINITION	Basic Optical Concepts,Lasers and active light sources (VIS, IR),Optical Sensors (APD, PMT, CMOS / CCD, ICCD / ICMOS, Bolometer, Thickener),Ray / Physical Optics Design,Night Vision Systems,Thermal Imaging Systems,Hyperspectral Imaging Systems,Active Imaging Systems,Advanced Electro-Optic and Acousto-Optical systems,Optical Guidance and Missile Searchers,Laser Guided Energy Weapons,Optical Protection and Electro-Optic Countermeasures,Remote Biometric and Chemical Detection,Digital Image / Signal Processing, Detection, Detection and Deep Learning Algorithms
COURSE CONTENTS	WEEK TOPICS 1st Week Basic Optical Concepts 2nd Week Lasers and active light sources (VIS, IR) 3rd Week Optical Sensors (APD, PMT, CMOS / CCD, ICCD / ICMOS, Bolometer, Thickener) 4th Week Ray / Physical Optics Design 5th Week Night Vision Systems 6th Week Thermal Imaging Systems 7th Week Hyperspectral Imaging Systems 8th Week Midterm 9th Week Active Imaging Systems 10th Week Advanced Electro-Optic and Acousto-Optical systems 11th Week Optical Guidance and Missile Searchers 12th Week Laser Guided Energy Weapons 13th Week Optical Protection and Electro-Optic Countermeasures 14th Week Remote Biometric and Chemical Detection 15th Week Digital Image / Signal Processing, Detection, Detection and Deep Learning Algorithms
RECOMENDED OR REQUIRED READING	Pedrotti, Frank L., Leno M. Pedrotti, and Leno S. Pedrotti. Introduction to optics. Cambridge University Press, 2017. Holst, Gerald C. "Testing and evaluation of infrared imaging systems." Testing and evaluation of infrared imaging systems/Gerald C. Holst. Winter Park, FL: JCD Pub.; Bellingham, WA: SPIE Optical Engineering Press, c1998.. 1998. Chang, Chein-I. Hyperspectral imaging: techniques for spectral detection and classification. Vol. 1. Springer Science & Business Media, 2003. McAulay, Alastair D. Military laser technology for defense: Technology for revolutionizing 21st century warfare. John Wiley & Sons, 2011. Vollmer, Michael, and M. A. Klaus-Peter. Infrared thermal imaging: fundamentals, research and applications. John Wiley & Sons, 2017. Burger, Wilhelm, and Mark J. Burge. Principles of Digital Image Processing: Advanced Methods. Springer Science & Business Media, 2013.
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 2 2 Preparation for Quiz Individual or group work 14 8 112 Preparation for Final exam 1 60 60 Course hours 14 3 42 Preparation for Midterm exam 1 25 25 Laboratory (including preparation) Final exam 1 2 2 Homework 2 10 20 Project 1 36 36 Total Workload 299 Total Workload / 30 9,96 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No