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)	-
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Types and characteristics of sensors used in defense technologies 2) Wireless sensor networks 3) Time-series analysis 4) Internet of Objects (IoT)
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None.
COURSE DEFINITION	ypes and characteristics of sensors used in defense technology. Wireless sensor networks. Sensor signal processing. Specification. Time-series analysis. Time-series alignment. Similarity metrics. Classification. Analysis of multi-channel sensor data. Sensor data patterns. Data structures and algorithms for sensors. Internet of Objects (IoT).
COURSE CONTENTS	WEEK TOPICS 1st Week Types and characteristics of sensors used in defense technologies 2nd Week Types and characteristics of sensors used in defense technologies 3rd Week Wireless sensor networks 4th Week Sensor signal processing 5th Week Property 6th Week Time-series analysis 7th Week Time-series alignment 8th Week Midterm 9th Week Similarity metrics 10th Week Classification 11th Week Analysis of multi-channel sensor data 12th Week Sensor data patterns 13th Week Data structures and algorithms for sensors 14th Week Internet of Objects (IoT)
RECOMENDED OR REQUIRED READING	Wireless Sensor Networks: Design Principles for Scattered Systems,Thomas Haenselmann,Werlag.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Discussion,Questions/Answers,Case Study,Project
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 40 Total(%) 40 Contribution of In-term Studies to Overall Grade(%) 40 Contribution of Final Examination to Overall Grade(%) 60 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz Individual or group work 14 11 154 Preparation for Final exam 1 69 69 Course hours 14 3 42 Preparation for Midterm exam 1 44 44 Laboratory (including preparation) Final exam 1 2 2 Homework Total Workload 313 Total Workload / 30 10,43 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No