Nevşehir Hacı Bektaş Veli University Course Catalogue

Information Of Programmes

FACULTY OF ENGINEERING & ARCHITECTURE / EEM-421 - ELECTRICAL AND ELECTRONICS ENGINEERING

Code: EEM-421 Course Title: DIGITAL SIGNAL PROCESSING Theoretical+Practice: 3+0 ECTS: 5
Year/Semester of Study 4 / Fall Semester
Level of Course 1st Cycle Degree Programme
Type of Course Optional
Department ELECTRICAL AND ELECTRONICS ENGINEERING
Pre-requisities and Co-requisites None
Mode of Delivery Face to Face
Teaching Period 14 Weeks
Name of Lecturer ALPER TÜRKELİ (alperturkeli@nevsehir.edu.tr)
Name of Lecturer(s)
Language of Instruction Turkish
Work Placement(s) None
Objectives of the Course
Learning the features of discrete timed signals and systems. Introducing phases of Analog / Digital and Digital / Analog conversion process. To learn sampling theory with sampling and aliasing concepts. To obtain mathematical models of discrete time systems and to realize their solutions by various methods. To enable analysis of discrete-time systems which do not change linearly by using Z transform. To perform frequency analysis of discrete time signals and systems using Fourier. To learn the types and properties of digital filters. To implement simple digital signal processing and design of digital filters using MATLAB program.

Learning Outcomes PO MME
The students who succeeded in this course:
LO-1 To recognize the properties of discrete timed signals and systems. PO-1 Mathematics, science and engineering information to gain the practical skills.
PO-2 Ability to identify engineering problems, modelling, formulate and improve the ability to solve.
PO-3 In such a way that those who want to design a system or process.
PO-11 The techniques required for engineering applications, methods and improve the ability to use modern tools.
Examination
LO-2 To examine Analog / Digital and Digital / Analog converters. PO-2 Ability to identify engineering problems, modelling, formulate and improve the ability to solve.
PO-11 The techniques required for engineering applications, methods and improve the ability to use modern tools.
Examination
LO-3 Obtaining the output of discrete-time systems using Z-transform and examining its stability. PO-1 Mathematics, science and engineering information to gain the practical skills.
PO-2 Ability to identify engineering problems, modelling, formulate and improve the ability to solve.
PO-3 In such a way that those who want to design a system or process.
Examination
LO-4 To know the properties of FIR and IIR systems. PO-2 Ability to identify engineering problems, modelling, formulate and improve the ability to solve.
PO-3 In such a way that those who want to design a system or process.
Examination
LO-5 To perform frequency analysis of a discrete time system using AZFD and AFD. PO-1 Mathematics, science and engineering information to gain the practical skills.
PO-2 Ability to identify engineering problems, modelling, formulate and improve the ability to solve.
PO-3 In such a way that those who want to design a system or process.
Examination
LO-6 To examine digital filters. PO-2 Ability to identify engineering problems, modelling, formulate and improve the ability to solve.
PO-3 In such a way that those who want to design a system or process.
Examination
LO-7 To explain the methods used in the design of digital filters. PO-1 Mathematics, science and engineering information to gain the practical skills.
PO-2 Ability to identify engineering problems, modelling, formulate and improve the ability to solve.
PO-3 In such a way that those who want to design a system or process.
PO-8 Engineering solutions to adopt the sensitivity of the impacts that universal and social dimensions.
PO-9 To adapt to innovation and emerging technologies, continuous self-renewal, and improve the ability of researchers.
Examination
PO: Programme Outcomes
MME:Method of measurement & Evaluation

Course Contents
Discrete time signals and systems,Analog to Digital, Digital to Analog conversion and stages,Solution of linear constant coefficient differential equations,Z transform, definition and convergence region (ROC),Z conversion properties,Solution of inverse Z transform and linear constant coefficient difference equations using Z transform,Stability in discrete-time systems,Discrete-time system structures and frequency domain analysis of discrete-time signals,Discrete Fourier Transform , definition and properties,Discrete-Time Fourier Transform , description and properties,Fast Fourier Transform (FFT), description and properties,Digital filter design techniques,Infinite Impedance Response Filter (IIR) Design,Finite Impulse Response Filter (FIR) Design.
Weekly Course Content
Week Subject Learning Activities and Teaching Methods
1 Discrete time signals and systems. Lecture, question and answer, discussion
2 Analog to Digital, Digital to Analog conversion and stages. Lecture, question and answer, discussion
3 Solution of linear constant coefficient differential equations. Lecture, question and answer, discussion
4 Z transform, definition and convergence region (ROC). Lecture, question and answer, discussion
5 Z conversion properties. Lecture, question and answer, discussion
6 Solution of inverse Z transform and linear constant coefficient difference equations using Z transform. Lecture, question and answer, discussion
7 Stability in discrete-time systems. Lecture, question and answer, discussion
8 mid-term exam
9 Discrete-time system structures and frequency domain analysis of discrete-time signals. Lecture, question and answer, discussion
10 Discrete Fourier Transform , definition and properties. Lecture, question and answer, discussion
11 Discrete-Time Fourier Transform , description and properties. Lecture, question and answer, discussion
12 Fast Fourier Transform (FFT), description and properties. Lecture, question and answer, discussion
13 Digital filter design techniques. Lecture, question and answer, discussion
14 Infinite Impedance Response Filter (IIR) Design. Lecture, question and answer, discussion
15 Finite Impulse Response Filter (FIR) Design. Lecture, question and answer, discussion
16 final exam
Recommend Course Book / Supplementary Book/Reading
1 Sayısal İşaret İşleme, S. ERTÜRK, Birsen Yayınevi, İstanbul, 2002.
2 Digital Signal Processing, A Computer-Based Approach, S. K. MITRA, McGraw-Hill, 2002.
3 Discrete-Time Signal Processing, A.V. OPPENHEIM, R. W. SCHAFER, Prentice Hall, New Jersey, 1989.
Required Course instruments and materials
Course book, laptop computer, projector

Assessment Methods
Type of Assessment Week Hours Weight(%)
mid-term exam 8 1 40
Other assessment methods
1.Oral Examination
2.Quiz
3.Laboratory exam
4.Presentation
5.Report
6.Workshop
7.Performance Project
8.Term Paper
9.Project
final exam 16 1 60

Student Work Load
Type of Work Weekly Hours Number of Weeks Work Load
Weekly Course Hours (Theoretical+Practice) 3 14 42
Outside Class
       a) Reading 2 10 20
       b) Search in internet/Library 2 10 20
       c) Performance Project 2 10 20
       d) Prepare a workshop/Presentation/Report 0
       e) Term paper/Project 2 12 24
Oral Examination 0
Quiz 1 12 12
Laboratory exam 0
Own study for mid-term exam 5 1 5
mid-term exam 1 1 1
Own study for final exam 5 1 5
final exam 1 1 1
0
0
Total work load; 150