Information Package / Course Catalogue
Digital Signal Processing
Course Code: EE453
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: English
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The aim of the course to have an understanding of students on digital signals and digital system theory, to explain transformation from continuous time to discrete time and digital signals and to give information on digital filters and some transform techniques.

Course Content

Discrete-time signals and systems, Digital dignals, Discrete Fourier Transform, Sampling theory, Digital Filter Design, Fast Fourier Transform, Processing of Continuous-time signals in Digital domain.

Name of Lecturer(s)
Learning Outcomes
1.To have knowledge and understand of discrete time and digital signals.
2.To learn transformation techniques of discrete time and digital signals.
3.To learn and understand sampling theory, transformations from continuous time to discrete time and Fast Fourier Transform
4.To have knowledge and understand of analog and digital filter design and filter types.
5.Gaining the ability to conduct research on a given topic, report on it, and present it in front of the class
Recommended or Required Reading
1.Discrete-time Signal Processing, 3th edition by Oppenheim and Schafer, Pearson New International Edition.
2.Digital Signal Processing, 4th edition by Sanjit Mitra, McGraw Hill.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to DSP – What, Why and How.
Week 2 - Theoretical
Signals & Systems Review
Week 3 - Theoretical
Z-Transform
Week 4 - Theoretical
Discrete Fourier Transform (DFT)
Week 5 - Theoretical
Sampling Theory, A/D, D/A conversion, Decimation and Interpolation, Multirate signal processing
Week 6 - Theoretical
Sampling Theory, A/D, D/A conversion, Decimation and Interpolation, Multirate signal processing
Week 7 - Theoretical
Transform Analysis of LTI Systems
Week 8 - Theoretical
Structures of DT Systems
Week 9 - Theoretical
Filter Design Techniques, FIR and IIR Filter Design
Week 10 - Theoretical
Filter Design Techniques, FIR and IIR Filter Design
Week 11 - Theoretical
Fast Fourier Transform, FFT
Week 12 - Theoretical
Discrete Hilbert Transform
Week 13 - Theoretical
Applications of Signal Processing
Week 14 - Theoretical
Project presentations
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Assignment5%10
Project1%25
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory131352
Assignment51320
Project112618
Individual Work101120
Final Examination112315
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
2
3
OÇ-2
3
2
3
OÇ-3
3
2
3
OÇ-4
3
2
3
OÇ-5
2
3
5
Adnan Menderes University - Information Package / Course Catalogue
2026