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)	Instructor Alparslan Çağrı Yapıcı
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Characterization of fading channels; coherence time and coherence bandwidth. 2) Detection and estimation of signal parameters in AWGN channels 3) Carrier and symbol synchronization. 4) Estimation of channel gains. 5) Channel capacity, source and channel coding. 6) Multi-user communications, multiple access and queueing theory.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Estimation theory. Binary and M'ary hypothesis tests. Detection theory. Stochastic processes. Karhunen-Loeve transform. Detection and estimation of signal parameters under white and colored noise. Detection of continuous waveforms. Optimum, linear and implementable processors. Wiener-Hopf equation and its solution. Optimum receivers. Carrier and symbol synchronization. Detection of carrier phase and symbol timing. ML detectors. Channel capacity, coding theory.
COURSE CONTENTS	WEEK TOPICS 1st Week Digital signaling over fading channels. 2nd Week Frequency non-selective and selective fading channels 3rd Week Coherent detection, non-coherent detection. 4th Week Detection and estimation of signal parameters in Additive White Gaussian Noise channels. 5th Week Optimum linear realisable processor. Optimum receivers. 6th Week Carrier and symbol synchronisation. 7th Week Carrier phase estimation. Symbol timing estimation. 8th Week Midterm Exam 9th Week Channel tap weight estimation. Performance of optimum 10th Week Receiver. ML estimators. Discrete memoryless channels. 11th Week Channel capacity, data compaction, data compression, Continuous ensembles. Source and channel coding theorem. 12th Week Multiuser communications, multiple access techniques, capacity of multiple access methods. 13th Week Random access methods, queuing theory and applications. 14th Week Markov chains and queuing theory. Network of queues.
RECOMENDED OR REQUIRED READING	Digital Communications, J. Proakis, McGraw-Hill, 4e.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 35 Assignment 1 15 Quiz 1 10 Total(%) 60 Contribution of In-term Studies to Overall Grade(%) 60 Contribution of Final Examination to Overall Grade(%) 40 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