Electrical and Electronics Engineering
Bachelor	Length of the Programme: 4	Number of Credits: 240	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF: Level 6

ECTS Course Information Package

School/Faculty/Institute

Faculty of Engineering

Course Code

EE 302

Course Title in English

Digital Signal Processing

Course Title in Turkish

Sayısal İşaret İşleme

Language of Instruction

Type of Course

Flipped Classroom

Level of Course

Introductory

Semester

Spring

Contact Hours per Week

Lecture: 3

Recitation: None

Lab: 1

Other: None

Estimated Student Workload

150 hours per semester

Number of Credits

6 ECTS

Grading Mode

Standard Letter Grade

Pre-requisites

EE 204 - Signals and Systems

Co-requisites

None

Expected Prior Knowledge

Prior knowledge in continuous and discrete time signals and systems, Fourier series and Fourier transform, properties of discrete-time signals and systems, convolution.

Registration Restrictions

Only Undergraduate Students

Overall Educational Objective

To learn the analysis of discrete time signals and systems.

Course Description

This course provides a comprehensive introduction to digital signal processing and time-scale analysis. The following topics are covered: discrete time signals in the time domain, linear time-invariant systems, convolution, frequency domain representation of discrete signals and systems, Discrete Time Fourier Transform (DTFT), sampling theory, discrete-time processing of analog signals, z-transform, transform analysis of systems, stability and causality, Discrete Fourier Transform (DFT), circular convolution, Fast Fourier Transform (FFT), implementation of and structures for discrete systems, digital filters: specifications, FIR filter theory and design methods, IIR filter theory and design methods.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) explain the basic concepts of signals, signal processing and digital signals;
2) analyze the signals and systems in time and frequency domain;
3) analyze discrete-time signals and systems in transfer domain;
4) use MATLAB to analyse and design discrete-time systems;
5) carry out a digital signal processing project and draw conclusions;
6) demonstrate team effort during a project;
7) prepare technical reports and present to a range of audiences.

Program Learning Outcomes/Course Learning Outcomes	1	2	3	4	5	6	7
1) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3) An ability to communicate effectively with a range of audiences
4) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies

Relation to Program Outcomes and Competences

N None	S Supportive	H Highly Related

	Program Outcomes and Competences	Level	Assessed by
1)	An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics	H	Exam
2)	An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors	N
3)	An ability to communicate effectively with a range of audiences	H	Project
4)	An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts	N
5)	An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives	H	Project
6)	An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions	H	Lab,Project
7)	An ability to acquire and apply new knowledge as needed, using appropriate learning strategies	N

Prepared by and Date	SERAP KIRBIZ , April 2018
Course Coordinator	SERAP KIRBIZ
Semester	Spring
Name of Instructor

Course Contents

Week	Subject
1)	Discrete-time signals and systems (2.1-2.5)
2)	Frequency domain representation of discrete signals and systems. (2.6-2.9)
3)	Sampling theory, Discrete-time processing of analog signals (4.1-4.3)
4)	Discrete Fourier Series (DFS) (8.1-8.4)
5)	Discrete Fourier Transform (DFT), Circular convolution (8.5-8.7)
6)	z-transform (3.1-3.2)
7)	z-transform (3.3-3.4)
8)	Transform analysis of Linear Time Invariant Systems (5.1-5.3)
9)	Stability and causality (5.4-5.6)
10)	Structures for Discrete-Time Systems (6.1-6.5)
11)	Digital filters: specifications. FIR filter theory and design methods (7.1-7.2)
12)	FIR filter theory and design methods (7.3)
13)	IIR filter theory and design methods (7.4-7.5)
14)	Fast Fourier Transform (FFT) (9.1-9.3)
15)	Final Exam/Project/Presentation Period
16)	Final Exam/Project/Presentation Period

Required/Recommended Readings

1. “Discrete-Time Signal Processing”, Oppenheim and Schafer, Prentice-Hall, 3rd edition, 2010 (Textbook) 2. “Digital Signal Processing, Principles, Algorithms and Applications”, Proakis and Manolakis, Prentice-Hall, 2007.

Teaching Methods

Contact hours using “Flipped Classroom” as an active learning technique

Homework and Projects

Problems from textbook (they will not be collected and not graded, quiz questions will be very similar or identical to the problems). 1 Project

Laboratory Work

7 laboratories on analyzing signals in time and frequency domains and designing discrete time systems.

Computer Use

Students will use MATLAB in lab and to implement discrete time systems for their projects.

Other Activities

None

Assessment Methods

Assessment Tools	Count	Weight
Laboratory	7	% 12
Quiz(zes)	2	% 8
Project	1	% 30
Midterm(s)	2	% 50
TOTAL		% 100

Course Administration

Instructor’s office: 5th Floor office hours: Tue 16:00-17:00, Thu 16:00-17:00 email address: kirbizs@mef.edu.tr Rules for attendance: YÖK Regulations. Missing a quiz: Provided that proper documents of excuse are presented, each missed quiz by the student will be given a grade which is equal to the average of all of the other quizzes. No make-up will be given. Missing a midterm: Provided that proper documents of excuse are presented, each missed midterm by the student will be given the grade of the final exam. No make-up will be given. Eligibility to take the final exam: Students are required to collect a weighted average of at least 25 points from midterm exam, quizzes, laboratory and projects to be able to take the final exam. Missing a final: Faculty regulations. A reminder of proper classroom behavior, code of student conduct: YÖK Regulations Statement on plagiarism: YÖK Regulations http://3fcampus.mef.edu.tr/uploads/cms/webadmin.mef.edu.tr/4833_2.pdf

ECTS Student Workload Estimation

Activity	No/Weeks	Hours			Calculation
	No/Weeks per Semester	Preparing for the Activity	Spent in the Activity Itself	Completing the Activity Requirements
Course Hours	14	2	3		70
Laboratory	7	1	1	1	21
Project	1	20	1	1	22
Midterm(s)	2	10	2		24
Final Examination	1	11	2		13
Total Workload					150
Total Workload/25					6.0
ECTS					6