Electrical and Electronics Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Electrical and Electronics Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Electrical and Electronics Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05171714 | Digital Signal Processing | 4 | Spring | 8 | 3+0+0 | 5 | 5 |
| Course Type | Elective |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | Yüzyüze ders anlatımı. |
| Mode of Delivery | Face to Face |
| Prerequisites | Öğrenciler Sinyaller ve Sistemler dersinde anlatılan konuları anlamış olmalıdır. |
| Coordinator | - |
| Instructor(s) | Asst. Prof. İbrahim ONARAN |
| Instructor Assistant(s) | - |
Course Instructor(s)
| Name and Surname | Room | E-Mail Address | Internal | Meeting Hours |
|---|---|---|---|---|
| Asst. Prof. İbrahim ONARAN | A-125 | [email protected] | 7678 | Tuesday 10:30-11:30 |
Course Content
In this course we provide general information about discrete-time signals and systems. We present the definitions and calculations of the tools such as the Z transform, the Discrete Time Fourier Transform (DTFT), the Discrete Fourier Transform (DFT) etc., that enable us to understand the operating principles of discrete-time systems. We discuss the sampling of continuous-time signals, reconstruction from samples and realization of continuous-time systems by discrete-time systems. We demonstrate filtering specific frequencies of discrete-time signals by designing digital filters. We provide information on processing signals sampled at different frequencies and designing the discrete systems for this purpose. We examine Fast Fourier Transform (FFT) algorithms, which enable rapid computation of DFT.
Objectives of the Course
The aim of this course is to teach the relationship between discrete-time signals and continuous-time signals and the tools that help us analyze discrete-time systems and signals.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | X |
| Specialization / Field Courses | |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P1 | Solid knowledge base in mathematics, natural sciences, and engineering-related subjects, along with the ability to solve complex engineering problems using this knowledge. | 5 |
| P2 | Ability to identify, describe, mathematically express, and solve challenging engineering problems; the capability to select and utilize appropriate analysis and modeling techniques for this purpose. | 4 |
| P3 | Ability to design a complex system, process, device, or product to meet specific requirements within real-world constraints and conditions; using current design techniques to achieve this goal. | 3 |
| P4 | Ability to develop, prefer, and utilize current techniques and tools for analyzing and solving complex problems in engineering applications; proficiency in effectively utilizing information technologies. | 4 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Know the concept of phasor in continuous and discrete-time signals, and can calculate the response of systems to sinusoidal signals. | P.1.84 | 1,3 |
| O2 | Know the Continuous Time Fourier Transform, Fourier Coefficients, and Laplace Transform. | P.1.85 | 1,3 |
| O3 | Know Discrete Time Fourier Transform (DTFT), Fourier Coefficients, Discrete Fourier Transform (DFT), and Z Transform. | P.2.72 | 1,3 |
| O4 | Know the realization of discrete-time systems | P.2.73 | 1,3 |
| O5 | Know about the design and applications of discrete-time filters | P.3.19 | 1,3 |
| O6 | Know Fast Fourier Transform (FFT) algorithms. | P.3.20 | 3 |
| O7 | Know about sampling of continuous-time signals and multirate signal processing. | P.4.36 | 1 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | Introduction and Digital Signals |
| 2 | Discrete signals and systems |
| 3 | Z-transform |
| 4 | Z-transform and LTI system applications |
| 5 | Frequncy analysis of the signals |
| 6 | The frequency domain analysis of LTI sistems |
| 7 | The sampling of the signals and reconstruction |
| 8 | Discrete Fourier Transform |
| 9 | Fast Fourier Transform |
| 10 | The realization of the discrete systems |
| 11 | The realization of the systems and filter design |
| 12 | Digital filter design |
| 13 | Multirate digital signal processing |
| 14 | Review |
Textbook or Material
| Resources | Digital Signal Processing |
| Digital Signal Processing, A Computer-Based Approach; 4th Ed.; S. K. Mitra; McGraw-Hill Inc.; ISBN: 9780072513783 |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Homework | 6 | 25 (%) |
| Presentation | - | - |
| Projects | - | - |
| Quiz | - | - |
| Listening | - | - |
| Midterms | 1 | 35 (%) |
| Final Exam | 1 | 40 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 14 | 3 | 42 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 14 | 4 | 56 |
| Midterms | 1 | 22 | 22 |
| Quiz | 0 | 0 | 0 |
| Homework | 6 | 6 | 36 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 24 | 24 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 180 | ||
| Total Work Load / 30 | 6 | ||
| Course ECTS Credits: | 6 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P1 | P2 | P3 | P4 |
|---|---|---|---|---|---|
| O1 | Know the concept of phasor in continuous and discrete-time signals, and can calculate the response of systems to sinusoidal signals. | 5 | - | - | - |
| O2 | Know the Continuous Time Fourier Transform, Fourier Coefficients, and Laplace Transform. | 5 | - | - | - |
| O3 | Know Discrete Time Fourier Transform (DTFT), Fourier Coefficients, Discrete Fourier Transform (DFT), and Z Transform. | - | 4 | - | - |
| O4 | Know the realization of discrete-time systems | - | 4 | - | - |
| O5 | Know about the design and applications of discrete-time filters | - | - | 3 | - |
| O6 | Know Fast Fourier Transform (FFT) algorithms. | - | - | 3 | - |
| O7 | Know about sampling of continuous-time signals and multirate signal processing. | - | - | - | 4 |