| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Digital Signal Processing | MEK 601 | 0 | 3 + 0 | 3 | 6 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | Doktora |
| Dersin Türü | Seçmeli |
| Dersin Koordinatörü | Doç.Dr. SEZGİN KAÇAR |
| Dersi Verenler | |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Diğer |
| Dersin Amacı | Helping students to develop themselves with digital signal procesing techniques and apply these techniques into different areas. Helping students to get an ability to design digital filters using these techniques. |
| Dersin İçeriği | Techniques of digital signal processing. Examples of signal processing application in different areas. |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | Comprehends digital signal processing techniques. | Lecture, Question-Answer, | Testing, |
| 2 | Explains signal processing algorithms. | Lecture, Question-Answer, | Testing, |
| 3 | Explains advantages of digital signal processors. | Lecture, Question-Answer, | Testing, |
| 4 | Comprehends application areas of signal processing. | Lecture, Question-Answer, Self Study, Problem Solving, | Homework, |
| 5 | Comprehends Digital Signal Processors´ architectures | Simulation, Lab / Workshop, Self Study, | Testing, Homework, Project / Design, |
| 6 | Comments on signal processing applications in different areas. | Lecture, Question-Answer, Self Study, | Testing, Homework, |
| 7 | Explains a Digital Filter Block´s structure. | Lecture, Question-Answer, Drilland Practice, Self Study, | Testing, Homework, |
| 8 | Designs a digital filter. | Lecture, Question-Answer, Self Study, | Testing, Homework, Project / Design, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 1 | Digital Signal Processing and advantages. | [1] |
| 2 | Comparison of digital signal processors with other processors. | [2,3,4] |
| 3 | Numerical representations used in digital signal processors | [2,3,4] |
| 4 | Techniques used in real-time signal processing. | [1,2] |
| 5 | Importance of sampling process and problems encountered | [1] |
| 6 | Errors in quantization process | [1] |
| 7 | Errors in digital to analog conversion | [1] |
| 8 | General features of digital signal processors | [1] |
| 9 | Midterm Exam | [1] |
| 10 | Transform methods in signal processing | [1] |
| 11 | Digital filter design steps | [1] |
| 12 | Finite Impuls Response (FIR) filters. Infinite Impuls Response (IIR) filters. Different filter structures. | [1] |
| 13 | Techniques used in audio and video processing applications | [2,3,4] |
| 14 | Application examples implemented in different areas | [2,3,4] |
| Kaynaklar | |
|---|---|
| Ders Notu | [1] Eskikurt, Halil İbrahim; İşaret İşleme Ders Notları, SAÜ TEF, 2007 |
| Ders Kaynakları | [2] Emmanuel J. Ifeachor, Barrie W. Jervis, Dijital Signal Processing, A practical approach, Addison-Wesley Publishing Company, UK, 1993. [3] Marven, C. and Ewers, G., A simple approach to Digital Signal Processing, Texas Instruments, UK, 1994. [4] Handbook for Digital Signal Processing, Mitra, S.K. and Kaiser, J.F., John Wiley & Sons, USA, 1993. |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study | X | |||||
| 2 | Develop new strategic approach and produce solutions by taking responsibility in unexpected and complicated situations in mechatronic engineering | X | |||||
| 3 | Aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcement | X | |||||
| 4 | Develop and use data processing and communication technologies together with the machine, electronic and computer software-hardware knowledge required by the field of mechatronic engineering expertise | X | |||||
| 5 | Ability to complete and implement "limited or incomplete data" by using the scientific methods. | X | |||||
| 6 | Ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them | X | |||||
| 7 | Ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process | X | |||||
| 8 | Ability to design and apply analytical, modeling and experimental based research, analyze and interpret the faced complex issues during the design and apply process | X | |||||
| 9 | Gain high level ability to define the required information and data | X | |||||
| 10 | Aware of new and developing application of profession and ability to analyze and study on those applications | X | |||||
| 11 | Ability to interpret engineering applications social and environmental dimensions and it´s compliance with the social environment | X | |||||
| 12 | At least be capable of oral and written communication in a foreign language | X | |||||
| 13 | Ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations | X | |||||
| 14 | Systematic and clear verbal or written transfer of the process and results of studies at national and international environments | X | |||||
| 15 | Gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering | X | |||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ara Sınav | 50 |
| 1. Ödev | 50 |
| Toplam | 100 |
| 1. Yıl İçinin Başarıya | 50 |
| 1. Final | 50 |
| Toplam | 100 |
| AKTS - İş Yükü Etkinlik | Sayı | Süre (Saat) | Toplam İş Yükü (Saat) |
|---|---|---|---|
| Course Duration (Including the exam week: 16x Total course hours) | 16 | 3 | 48 |
| Hours for off-the-classroom study (Pre-study, practice) | 16 | 2 | 32 |
| Mid-terms | 1 | 20 | 20 |
| Assignment | 1 | 20 | 20 |
| Final examination | 1 | 30 | 30 |
| Toplam İş Yükü | 150 | ||
| Toplam İş Yükü / 25 (Saat) | 6 | ||
| Dersin AKTS Kredisi | 6 | ||