TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	3
SEMESTER	Fifth Term (Fall)
NUMBER OF ECTS CREDITS ALLOCATED	6
NAME OF LECTURER(S)	Associate Professor Selda Güney
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Will be able to model linear systems. 2) Will be able to learn and to utilize signal types. 3) Will be able to learn and to utilize continous-time and discrete-time Fourier series. 4) Will be able to learn and to utilize continous-time and discrete-time Fourier transforms. 5) Will be able to gain problem solving skills for signals and systems problems. 6) Will be able to be able to utilize the related software for signals and systems.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
COURSE DEFINITION	Classification of systems. Systems defined by differential or difference equations. Impulse responses of continuous-time and discrete-time systems. Convolution representation of linear time-invariant systems. Fourier series. Fourier transform. Discrete time Fourier transform.
COURSE CONTENTS	WEEK TOPICS 1st Week Signals and Systems Definitions 2nd Week LTI Continuous and Discerete Time Systems 3rd Week LTI Continuous and Discerete Time Systems 4th Week Fourier Transform for periodic signals 5th Week Fourier Transform for periodic signals 6th Week Convolution Integral and Sum 7th Week Fourier Transform for continuous time signals 8th Week Midterm 9th Week Fourier Transform for continuous time signals 10th Week Fourier Transform for continuous time signals 11th Week Fourier Transform for discrete time signals 12th Week Fourier Transform for discrete time signals 13th Week Fourier Transform for discrete time signals 14th Week Review
RECOMENDED OR REQUIRED READING	Oppenheim, A. V., Willsky, A. S., (1997) "Signals and Systems", Prentice-Hall, 2nd Ed. Buck-Daniel-Singer, (2002) "Signals and Systems using MATLAB", Prentice-Hall, 2nd Ed.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Questions/Answers,Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 35 Quiz 4 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 2 4 8 Individual or group work 14 4 56 Preparation for Final exam 1 22 22 Course hours 14 4 56 Preparation for Midterm exam 1 18 18 Laboratory (including preparation) 0 0 0 Final exam 1 2 2 Homework 2 8 16 Total Workload 180 Total Workload / 30 6 ECTS Credits of the Course 6
LANGUAGE OF INSTRUCTION	English
WORK PLACEMENT(S)	No