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BIM 338 - Digital Signal Processing

Faculty of Engineering and Natural Sciences · Computer Engineering · Undergraduate

ECTS: 5 T+P+L: 2+0+1 Departmental Elective
Coordinator: Dr. Öğr. Üyesi Volkan ÇETİN

Course Objective

The objective of this course is to enable students to analyze discrete-time signals and systems, understand sampling principles, apply Fourier and Z-transforms, and design and evaluate digital filters.

Course Content

The course covers the representation of digital signals, sampling, the Z-transform for discrete-time system analysis, convolution, discrete-time Fourier transforms (DTFT, DFT, FFT), and methods for digital filter design.

Course Learning Outcomes

  1. Describe continuous and discrete signals.
  2. Describe sampling theory.
  3. Analyze signals in time and frequency domains.
  4. Characterize discrete-time systems and their properties.
  5. Analyze the stability and frequency response of discrete-time systems using the Z-transform.
  6. Implement DFT/FFT algorithms.

Core Area Distribution

(46) Mathematics and Statistics%50 (52) Engineering and Engineering Trades%50

Teaching Methods

ExpressionQuestion-AnswerExercise and PracticeSelf studyProblem Solving

Assessment & Evaluation

Testing (Essay / Tests: True-Falls, multiple-choice, short answer, matching)

ECTS / Workload

ActivityQuantityDuration (h)Total Workload
Course Duration (Including Exam Week)000
Out of Class Study Period000
Midterm000
Quiz000
Assignment000
Practice000
Final000

Course Schedule

WeekSubjectPreparation
1Digital Signal Basics
2Systems and System Properties
3Linear Time-Invariant Systems
4Fourier Series
5Fourier Transform and Inverse Fourier Transform
6Discrete-Time Fourier Transform
7Discrete Fourier Transform and Fast Fourier Transform
8Midterm Exam
9Sampling Theorem
10Z Transform
11Inverse Z Transform
12FIR Systems
13IIR Systems
14IIR Systems
15Summary