Self-routing autonomous robots by IUE engineers
An autonomous robot that can re-route using artificial intelligence, when it encounters an obstacle, has been developed with the project ...
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Department of Mechatronics Engineering
EEE 413 | Course Introduction and Application Information
| Course Name |
Digital Signal Processing
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
EEE 413
|
Fall/Spring
|
2
|
2
|
3
|
6
|
| Prerequisites |
|
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| Course Language |
English
|
|||||||||
| Course Type |
Elective
|
|||||||||
| Course Level |
First Cycle
|
|||||||||
| Mode of Delivery | - | |||||||||
| Teaching Methods and Techniques of the Course | Application: Experiment / Laboratory / WorkshopLecture / Presentation | |||||||||
| National Occupation Classification | - | |||||||||
| Course Coordinator | ||||||||||
| Course Lecturer(s) | ||||||||||
| Assistant(s) | ||||||||||
| Course Objectives | The main objective of this course is to introduce the fundamental concepts of mathematical tools in digital signal processing and linear systems analysis with examples from signal processing, communications, and control. Representation, analysis, and design of discrete time signals and systems. Discretetime processing of continuoustime signals. Frequency domain representations: Fourier series and transforms. Decimation, interpolation, and sampling rate conversion. Flowgraph structures for DT systems. Time and frequencydomain design techniques for recursive (IIR) and nonrecursive (FIR) filters. Linear prediction. Connection between continuous and discrete time frequency representations. Discrete Fourier transform (DFT) and fast Fourier transform (FFT). Shorttime Fourier analysis and filter banks. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning Outcomes |
|
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| Course Description | Topics covered in class mainly include principles and applications of digital signal processing. Representation, analysis, and design of digital signals and systems. Discretetime processing of continuoustime signals. Frequency domain representations: Fourier series and transforms. Decimation, interpolation, and sampling rate conversion. Time and frequencydomain design techniques for recursive (IIR) and nonrecursive (FIR) filters. Discrete Fourier transform (DFT) and fast Fourier transform (FFT). Shorttime Fourier analysis and filter banks. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Related Sustainable Development Goals |
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Core Courses | |
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation | Learning Outcome |
| 1 | Introduction and mathematical foundations, review of continuous-time signal and system concepts; sampling theorem | - | |
| 2 | Discrete-time signals and systems | Chapter 2. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978- 1-292-02572-8 | |
| 3 | Linear, time-invariant systems and their properties; convolution sum; difference equations | Chapter 2. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | |
| 4 | Discrete-time Fourier transform and its properties; frequency domain representations; inverse transform and properties | Chapter 2. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | |
| 5 | Discrete-time Fourier transform and its properties; frequency domain representations; inverse transform and properties | Chapter 2. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | |
| 6 | Z-transform and its properties, inverse transforms; analysis of linear, time invariant systems in the Z-plane | Chapter 3. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | |
| 7 | Z-transform and its properties, inverse transforms; analysis of linear, time invariant systems in the Z-plane | Chapter 3. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | |
| 8 | Midterm Exam | ||
| 9 | IIR and FIR system structures; signal flow graph representations | Chapter 6. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | |
| 10 | IIR and FIR system structures; signal flow graph representations | Chapter 6. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | |
| 11 | IIR and FIR filter design and examples | Chapter 7. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | |
| 12 | Discrete-time Fourier series and discrete Fourier transform (DFT); circular convolution; linear convolution using DFT | Chapter 8. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | |
| 13 | Discrete-time Fourier series and discrete Fourier transform (DFT); circular convolution; linear convolution using DFT | Chapter 8. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | |
| 14 | Fast Fourier transform (FFT) algorithms and structures | Chapter 9. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | |
| 15 | Fast Fourier transform (FFT) algorithms and structures | Chapter 9. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | |
| 16 | Final Exam |
| Course Notes/Textbooks | A. V. Oppenheim, R. W. Schafer, “DiscreteTime Signal Processing”, 3rd Ed., Pearson International Edition, Upper Saddle River, NJ 07458, 2010, ISBN 9780132067096. |
| Suggested Readings/Materials | J.G.Proakis, D.G. Manolakis, “Digital Signal Processing”, 4th Ed., Pearson International Edition, Upper Saddle River, NJ 07458, 2007. ISBN 9780131873741. |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing | LO 1 | LO 2 | LO 3 | LO 4 | LO 5 | LO 6 |
| Participation |
-
|
-
|
||||||
| Laboratory / Application |
1
|
30
|
||||||
| Field Work | ||||||||
| Quizzes / Studio Critiques |
-
|
-
|
||||||
| Portfolio | ||||||||
| Homework / Assignments | ||||||||
| Presentation / Jury | ||||||||
| Project |
-
|
-
|
||||||
| Seminar / Workshop | ||||||||
| Oral Exams | ||||||||
| Midterm |
1
|
30
|
||||||
| Final Exam |
1
|
40
|
||||||
| Total |
| Weighting of Semester Activities on the Final Grade |
2
|
60
|
| Weighting of End-of-Semester Activities on the Final Grade |
1
|
40
|
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
2
|
32
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
2
|
32
|
| Study Hours Out of Class |
14
|
3
|
42
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
-
|
-
|
0
|
| Portfolio |
0
|
||
| Homework / Assignments |
-
|
-
|
0
|
| Presentation / Jury |
0
|
||
| Project |
-
|
0
|
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
34
|
34
|
| Final Exam |
1
|
40
|
40
|
| Total |
180
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
PC Sub | Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
|||
| 1 |
To have knowledge in Mathematics, science, physics knowledge based on mathematics; mathematics with multiple variables, differential equations, statistics, optimization and linear algebra; to be able to use theoretical and applied knowledge in complex engineering problems |
-
|
-
|
-
|
-
|
-
|
|
| 2 |
To be able to identify, define, formulate, and solve complex mechatronics engineering problems; to be able to select and apply appropriate analysis and modeling methods for this purpose. |
-
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-
|
-
|
-
|
-
|
|
| 3 |
To be able to design a complex electromechanical system, process, device or product with sensor, actuator, control, hardware, and software to meet specific requirements under realistic constraints and conditions; to be able to apply modern design methods for this purpose. |
-
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-
|
-
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-
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-
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|
| 4 |
To be able to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Mechatronics Engineering applications; to be able to use information technologies effectively. |
-
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-
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-
|
-
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-
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| 5 |
To be able to design, conduct experiments, collect data, analyze and interpret results for investigating Mechatronics Engineering problems. |
-
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-
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-
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-
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-
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| 6 |
To be able to work effectively in Mechatronics Engineering disciplinary and multidisciplinary teams; to be able to work individually. |
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-
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-
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-
|
-
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| 7 |
To be able to communicate effectively in Turkish, both in oral and written forms; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions. |
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-
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-
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-
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-
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| 8 |
To have knowledge about global and social impact of engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of engineering solutions. |
-
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-
|
-
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-
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-
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| 9 |
To be aware of ethical behavior, professional and ethical responsibility; information on standards used in engineering applications. |
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-
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-
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-
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-
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| 10 |
To have knowledge about industrial practices such as project management, risk management and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development. |
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-
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-
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-
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| 11 |
Using a foreign language, he collects information about Mechatronics Engineering and communicates with his colleagues. ("European Language Portfolio Global Scale", Level B1) |
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-
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-
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| 12 |
To be able to use the second foreign language at intermediate level. |
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-
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-
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-
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| 13 |
To recognize the need for lifelong learning; to be able to access information; to be able to follow developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Mechatronics Engineering. |
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-
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-
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-
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-
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*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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