TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	5
NAME OF LECTURER(S)	Professor Kerim Demirbaş
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) To gain the ability to solve the problem 2) To do analysis using the appropriate basic transformations 3) To use the sampling theory in its applications 4) To calculate the system transfer function and phase response 5) To design for basic IIR and FIR filter structures 6) Apply the theoretical knowledge with modern technical tools
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	Discrete-Time Signals and Systems, Discrete Time Fourier Transform, Sampling Theory in Frequency Domain, Fast Fourier Transform, Transfer Function in Frequency Domain, Z transform and applications, Digital Filter Design, FIR Filter Design Methods, IIR Filter Design Methods.
COURSE CONTENTS	WEEK TOPICS 1st Week Discrete-Time Signals and Systems 2nd Week Discrete-Time Signals and Systems 3rd Week Discrete Time Fourier Transform 4th Week Sampling Theory in Frequency Domain 5th Week Fast Fourier Transform 6th Week Transfer Function in Frequency Domain 7th Week Z transform and applications 8th Week Midterm Exam 9th Week Z transform and applications 10th Week Z transform and applications 11th Week Digital Filter Design 12th Week Digital Filter Design 13th Week FIR Filter Design Methods 14th Week IIR Filter Design Methods
RECOMENDED OR REQUIRED READING	1.Alan V. Oppenheim, Ronald W. Schafer, Discrete Time Signal Processing, 2nd Ed. (1999) Prentice Hall. 2.Sanjit K. Mitra, Digital Signal Processing Laboratory Using Matlab, (1999), McGraw-Hill
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Presentation
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 35 Assignment 2 25 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 2 2 Preparation for Quiz 0 0 0 Individual or group work 14 4 56 Preparation for Final exam 1 18 18 Course hours 14 4 56 Preparation for Midterm exam 1 12 12 Laboratory (including preparation) 0 0 0 Final exam 1 2 2 Homework 5 1,5 7,5 Total Workload 153,5 Total Workload / 30 5,11 ECTS Credits of the Course 5
LANGUAGE OF INSTRUCTION	English
WORK PLACEMENT(S)	No