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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
DIGITAL SIGNAL PROCESSING-Spring Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorAssist.Prof. Mustafa AKTAN
Name of Lecturer(s)Prof.Dr. Mehmet Kemal ÖZDEMİR, Assist.Prof. Mustafa AKTAN
Assistant(s)None.
AimThis is a fourth-year undergraduate course on the fundamentals of discrete-time signal processing (DSP). This course provides the students with a solid background in theory and design of DSP systems. Different transformation techniques, conversion from analog to digital and vice versa, digital filter structures, and their application to real systems are covered. The theory is realized via Matlab simulations.
Course ContentThis course contains; Introduction to Discrete-Time Signals and Systems. ,Discrete LTI Systems,Z-Transform,Sampling of Continuous-Time Signals,Multi-rate signal Processing and Introduction to Discrete Random Process,Transform Analysis of LTI Systems – Part A,Transform Analysis of LTI Systems – Part B,Midterm overview,Structure for Discrete-Time Systems : Block Diagrams and IIR Systems,Structure for Discrete-Time Systems : FIR Systems and Quantization Effect,Digital Filter Design Techniques – Part A,Digital Filter Design Techniques – Part B,The Discrete Fourier Transform – Part A,The Discrete Fourier Transform – Part B,Discrete Stochastic Processes and Systems.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Applies the basics of LTI systems and transformation approaches in analyzing LTI systems.21, 9A, E, F, G
2. Samples lowpass and bandpass signals. 21, 9A, E, F, G
3. Uses IIR and FIR filters in LTI systems. 21, 9A, E, F, G
4. Uses DFT and FFT techniques effectively.21, 9A, E, F, G
5. Analyzes discrete stochastic systems. 21, 9A, E, F, G
Teaching Methods:21: Simulation Technique, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task, G: Quiz

Course Outline

OrderSubjectsPreliminary Work
1Introduction to Discrete-Time Signals and Systems. Notes and Oppenheim Chapters 1 & 2
2Discrete LTI SystemsNotes and Oppenheim Chapter 2
3Z-TransformNotes and Oppenheim Chapter 3
4Sampling of Continuous-Time SignalsNotes and Oppenheim Chap. 4
5Multi-rate signal Processing and Introduction to Discrete Random ProcessNotes and Oppenheim Chap. 4
6Transform Analysis of LTI Systems – Part ANotes and Oppenheim Chap. 5
7Transform Analysis of LTI Systems – Part BNotes and Oppenheim Chap. 5
8Midterm overviewNotes till Week 7 and textbook chapters 1-5
9Structure for Discrete-Time Systems : Block Diagrams and IIR SystemsNotes and Oppenheim Chap. 6
10Structure for Discrete-Time Systems : FIR Systems and Quantization EffectNotes and Oppenheim Chap. 6
11Digital Filter Design Techniques – Part ANotes and Oppenheim Chap. 7
12Digital Filter Design Techniques – Part BNotes and Oppenheim Chap. 7
13The Discrete Fourier Transform – Part ANotes and Oppenheim Chap. 8
14The Discrete Fourier Transform – Part BNotes and Oppenheim Chap. 8
15Discrete Stochastic Processes and SystemsNotes and Vetterli Chap. 3
Resources
Discrete-Time Signal Processing by Alan V. Oppenheim and Ronald W. Schafer Prentice Hall (Pearson) ISBN 978013 1988422
Foundations of Signal Processing, M. Vetterli, M. Kovacevic and V. Goyal , 2013, Cambridge University Press

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
An ability to apply knowledge of mathematics, science, and engineering
X
2
An ability to identify, formulate, and solve engineering problems
X
3
An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
X
4
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
X
5
An ability to design and conduct experiments, as well as to analyze and interpret data
X
6
An ability to function on multidisciplinary teams
X
7
An ability to communicate effectively
X
8
A recognition of the need for, and an ability to engage in life-long learning
X
9
An understanding of professional and ethical responsibility
10
A knowledge of contemporary issues
X
11
The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14342
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report41872
Term Project000
Presentation of Project / Seminar414
Quiz515
Midterm Exam11818
General Exam12424
Performance Task, Maintenance Plan000
Total Workload(Hour)165
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(165/30)6
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
DIGITAL SIGNAL PROCESSING-Spring Semester3+036
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorAssist.Prof. Mustafa AKTAN
Name of Lecturer(s)Prof.Dr. Mehmet Kemal ÖZDEMİR, Assist.Prof. Mustafa AKTAN
Assistant(s)None.
AimThis is a fourth-year undergraduate course on the fundamentals of discrete-time signal processing (DSP). This course provides the students with a solid background in theory and design of DSP systems. Different transformation techniques, conversion from analog to digital and vice versa, digital filter structures, and their application to real systems are covered. The theory is realized via Matlab simulations.
Course ContentThis course contains; Introduction to Discrete-Time Signals and Systems. ,Discrete LTI Systems,Z-Transform,Sampling of Continuous-Time Signals,Multi-rate signal Processing and Introduction to Discrete Random Process,Transform Analysis of LTI Systems – Part A,Transform Analysis of LTI Systems – Part B,Midterm overview,Structure for Discrete-Time Systems : Block Diagrams and IIR Systems,Structure for Discrete-Time Systems : FIR Systems and Quantization Effect,Digital Filter Design Techniques – Part A,Digital Filter Design Techniques – Part B,The Discrete Fourier Transform – Part A,The Discrete Fourier Transform – Part B,Discrete Stochastic Processes and Systems.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
1. Applies the basics of LTI systems and transformation approaches in analyzing LTI systems.21, 9A, E, F, G
2. Samples lowpass and bandpass signals. 21, 9A, E, F, G
3. Uses IIR and FIR filters in LTI systems. 21, 9A, E, F, G
4. Uses DFT and FFT techniques effectively.21, 9A, E, F, G
5. Analyzes discrete stochastic systems. 21, 9A, E, F, G
Teaching Methods:21: Simulation Technique, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam, E: Homework, F: Project Task, G: Quiz

Course Outline

OrderSubjectsPreliminary Work
1Introduction to Discrete-Time Signals and Systems. Notes and Oppenheim Chapters 1 & 2
2Discrete LTI SystemsNotes and Oppenheim Chapter 2
3Z-TransformNotes and Oppenheim Chapter 3
4Sampling of Continuous-Time SignalsNotes and Oppenheim Chap. 4
5Multi-rate signal Processing and Introduction to Discrete Random ProcessNotes and Oppenheim Chap. 4
6Transform Analysis of LTI Systems – Part ANotes and Oppenheim Chap. 5
7Transform Analysis of LTI Systems – Part BNotes and Oppenheim Chap. 5
8Midterm overviewNotes till Week 7 and textbook chapters 1-5
9Structure for Discrete-Time Systems : Block Diagrams and IIR SystemsNotes and Oppenheim Chap. 6
10Structure for Discrete-Time Systems : FIR Systems and Quantization EffectNotes and Oppenheim Chap. 6
11Digital Filter Design Techniques – Part ANotes and Oppenheim Chap. 7
12Digital Filter Design Techniques – Part BNotes and Oppenheim Chap. 7
13The Discrete Fourier Transform – Part ANotes and Oppenheim Chap. 8
14The Discrete Fourier Transform – Part BNotes and Oppenheim Chap. 8
15Discrete Stochastic Processes and SystemsNotes and Vetterli Chap. 3
Resources
Discrete-Time Signal Processing by Alan V. Oppenheim and Ronald W. Schafer Prentice Hall (Pearson) ISBN 978013 1988422
Foundations of Signal Processing, M. Vetterli, M. Kovacevic and V. Goyal , 2013, Cambridge University Press

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
An ability to apply knowledge of mathematics, science, and engineering
X
2
An ability to identify, formulate, and solve engineering problems
X
3
An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability
X
4
An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
X
5
An ability to design and conduct experiments, as well as to analyze and interpret data
X
6
An ability to function on multidisciplinary teams
X
7
An ability to communicate effectively
X
8
A recognition of the need for, and an ability to engage in life-long learning
X
9
An understanding of professional and ethical responsibility
10
A knowledge of contemporary issues
X
11
The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 09/10/2023 - 10:37Son Güncelleme Tarihi: 09/10/2023 - 10:37