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Cyprus International University
TR

DIGITAL SIGNAL PROCESSING

Course
EELE420 - DIGITAL SIGNAL PROCESSING
Department
Electrical - Electronic Engineering - English - Undergraduate
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
0
T+P+L
3 + 0 + 0
Course Coordinator(s)
Assoc. Prof. Dr. Pouya BOLOURCHI
Prerequisite
-
Keywords
-

Course Description

-

DIGITAL SIGNAL PROCESSING

Evaluation Tools (Active Term)

Item Type Weight (%)
Midterm Midterm 30
Project Project 20
Quiz Quiz 5
Assignment Assignment 5
Final Final 40
Total 100

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Week Topic
Week 1 Introduction to Digital Signal Processing
Week 2 Discrete-Time Signals
Week 3 Discrete-Time Systems, LTI Systems and Convolution Sum
Week 4 Difference Equations in Discrete-Time
Week 5 Frequency-Domain Represantation of Discrete-Time Signals and Systems and Fourier Transform
Week 6 Z-Transform and Properties of The Region of Convergence for the Z-Transform
Week 7 Inverse Z-Transform, Z-Transform Properties and Z-Transforms in LTI Systems
Week 8 Midterm Exam
Week 9 Sampling of Continous-Time Signals
Week 10 Discrete-Time Processing of Continuous-Time Signals, Continuous-Time Processing of Discrete-Time Signals, and Changing the Sampling Rate using Discrete-Time Processing,
Week 11 Multirate Signal Processing, Digital Processing of Analog Signals, and Oversampling and Noise Shaping in A/D and D/A Conversion
Week 12 Transform Analysis of LTI Systems
Week 13 Structures for Discrete-Time Systems
Week 14 Filter Design Techniques
Week 15 Final Exam

Reference Books & Course Materials

  1. 01 Alan V. Oppenheim and Ronald W. Schafer, Discrete-Time Signal Processing, Third Edition, Pearson Education, 2014
  2. 02 Alan V. Oppenheim and Alan S. Willsky, Signals and Systems, Second Edition, Prentice Hall

Learning Outcomes

No learning outcomes have been defined.

Program Outcomes

  1. P01 Should have sufficient knowledge in mathematics, science, and subjects specific to the relevant engineering discipline.
  2. P02 Should have the ability to use theoretical and applied knowledge in mathematics, science, and related engineering disciplines in complex engineering problems.
  3. P03 Should have the ability to detect, define, formulate, and solve complex engineering problems.
  4. P04 Should have the ability to select and apply appropriate analysis and modeling methods to solve complex engineering problems.
  5. P05 Should have the ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions.
  6. P06 Should have the ability to apply modern design methods.
  7. P07 Should have the ability to develop, select, and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications.
  8. P08 Should have the ability to use information technologies effectively.
  9. P09 Should have the ability to design experiments, for the study of complex problems or discipline-specific research topics.
  10. P10 Should have the ability to conduct experiments, collect data, analyze and interpret results for the study of complex problems or discipline-specific research topics.
  11. P11 Should have the ability to work in intradisciplinary teams.
  12. P12 Should have the ability to work in interdisciplinary teams.
  13. P13 Should have the skills to work individually.
  14. P14 Should have the ability to communicate effectively verbally and in writing.
  15. P15 Should have the knowledge of at least one foreign language.
  16. P16 Should be able to write effective reports, understand written reports, and prepare design and production reports.
  17. P17 Should have the ability to make effective presentations.
  18. P18 Should have the ability to give and have clear and understandable instructions.
  19. P19 Should gain consciousness (awareness) about the necessity of lifelong learning.
  20. P20 Should have the ability to access information.
  21. P21 Should have the ability to follow developments in science and technology and constantly renew himself/herself.
  22. P22 Should gain the awareness of professional and ethical responsibility and should act in accordance with ethical principles.
  23. P23 Should gain knowledge about the standards used in engineering applications.
  24. P24 Should gain knowledge about project management, risk management, and change management practices in business life.
  25. P25 Should gain awareness about entrepreneurship, and innovation.
  26. P26 Should gain knowledge about development in sustainability.
  27. P27 Should gain knowledge about the effects of engineering practices on health, environment, and security at universal and social dimensions and the problems of the age reflected in the field of engineering.
  28. P28 Awareness should be gained about the legal consequences of engineering solutions.

Po-Lo Matrix

The PO-LO matrix has not been populated yet.