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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Digital Signal Processing Elective Bachelor's degree 3 Fall 5

Name of Lecturer(s)

Associate Prof. Dr. Mustafa Hikmet Bilgehan UÇAR

Learning Outcomes of the Course Unit

1) Analyzes discrete-time linear and time-invariant (DT-LTI) systems in the time domain.
2) Analyzes DT-LTI systems with Z-transform.
3) Analyzes DT-LTIsystems in the frequency domain with Fourier transforms.
4) Analyzes and designs DT-LTI systems.
5) Realizes discrete-time signal processing (Audio and video processing) applications.

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9 10 11
Learning Outcomes
1 No relation High Middle Middle No relation No relation No relation No relation No relation No relation No relation
2 No relation High Middle Middle No relation No relation No relation No relation No relation No relation No relation
3 No relation High Middle Middle No relation No relation No relation No relation No relation No relation No relation
4 No relation High Middle Middle No relation No relation No relation No relation No relation No relation No relation
5 No relation High Middle Middle No relation No relation No relation No relation No relation No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Mathematics, Signals and Systems, Discrete Mathematics

Course Contents

Sürekli/ayrık zamanlı sistemler ve sinyaller (CTFT ve DTFT); doğrusal ve zamanla değişmeyen sistemlerin analizi; örnekleme, örnek seyreltme ve ara değer bulma; ayrık zamanlı ve hızlı Fourier dönüşümleri (DFT ve FFT); Z-dönüşümü; sonlu ve sonsuz birim darbe cevaplı sistemler ve sayısal süzgeç tasarımı (FIR, IIR filtreler), ses ve görüntü işleme temel bilgileri.

Recommended or Required Reading

1- Lathi, B. P., & Green, R. A. (2014). Essentials of digital signal processing. Cambridge University Press.
2- Smith, S. (2003). Digital signal processing: a practical guide for engineers and scientists. Newnes.

Planned Learning Activities and Teaching Methods

1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Demonstration
6) Group Study
7) Simulation


Assessment Methods and Criteria

Contribution of Midterm Examination to Course Grade

40%

Contribution of Final Examination to Course Grade

60%

Total

100%

Language of Instruction

Work Placement(s)

Not Required