Undergraduate
Faculty of Engineering and Architecture
Electrical and Electronics Engineering
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Digital Signal Processing

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
EE5401 5 Digital Signal Processing 2/2/0 CC English 5
Course Goals
The objective of this course is to develop an understanding of fundamental properties and advantages of discrete-time signals and systems, discrete-time Fourier transform, discrete-time z-transform, digital system structures, digital filter design (FIR and IIR) and sampling.
Prerequisite(s) Signals and Systems
Corequisite(s) NONE
Special Requisite(s) NONE
Instructor(s) Assoc. Prof. Esra Saatçi
Course Assistant(s) NONE
Schedule Thursday 11:00-13:00 and Friday 11:00-13:00
Office Hour(s) Monday13:00-14:00
Teaching Methods and Techniques Lectures and MATLAB practice
Principle Sources Oppenheim, A.V., Schafer, R.W., (1999), "Discrete-Time Signal Processing", Prentice Hall New Jersey, 0-13-083443-2
Other Sources Mitra, S., (2005), "Digital Signal Processing", McGraw-Hill, 978-0073048376

Proakis, J.G., Manolakis, D.G., (1996), "Digital Signal Processing", Prentice Hall, 0-13-394289-9
Course Schedules
Week Contents Learning Methods
1. Week Introduction Oral presentation and recitation
2. Week Review for Discrete-time Signals Oral presentation and recitation
3. Week Review for Discrete-time Systems Oral presentation and recitation
4. Week Discrete-time Fourier Transform Oral presentation and recitation
5. Week Sampling Oral presentation and recitation
6. Week Z - transform
7. Week Inverse Z – transform Oral presentation and recitation
8. Week Midterm Oral presentation and recitation
9. Week MATLAB applications Oral presentation and lab
10. Week Systems and Design Tools Oral presentation and recitation
11. Week Design of IIR filter Oral presentation and recitation
12. Week Design of linear Phase FIR filters Oral presentation and recitation
13. Week Design of FIR filter by windowing Oral presentation and recitation
14. Week MATLAB applications Oral presentation and lab
15. Week
16. Week
17. Week
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 30
Quizzes 1 10
Project(s) 1 10
Final Exam 1 50


Program Outcomes
PO-1Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
PO-2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
PO-3Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
PO-4Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
PO-5Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems.
PO-6Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
PO-7Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language.
PO-8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
PO-9Awareness of professional and ethical responsibility.
PO-10Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
PO-11Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.
Learning Outcomes
LO-1Will be able to express the properties of the LTI discrete-time systems from difference equations and impulse response of the system.
LO-2Will be able to convert time-domain response of the system given as a difference equations or impulse response to the frequency response by using discrete-time Fourier transform.
LO-3Will be able to transform between time and frequency domains by using Z transform in the LTI systems. Will be able to find zeros, poles and ROCs of the LTI system.
LO-4Will be able to find inverse system, minimum phase system and all pass system for a given 2nd order LTI systems.
LO-5Will be able to design 2nd order Butterworth filter if specifications are given.
LO-6Will be able to express 4 FIR filter types and their specifications.
LO-7Will be able to design FIR filter by windowing if specifications are given.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11
LO 1
LO 2
LO 3
LO 4
LO 5
LO 6
LO 7