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| JFZ5140 | Data Processing in Geophysics | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Second Cycle | | Status | Elective | | Department | DEPARTMENT of GEOPHYSICAL ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face, Practical | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Prof. Dr. Hakan KARSLI | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Objective of the course is to gain ability of processing the data relation to research subjects of graduate students |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | apply Fourier series and transformation to geophysical data | 2,3,4,5 | 1,3 | | PO - 2 : | apply Z and Hilbert transforms to geophysical data | 2,3,4,5 | 1,3 | | PO - 3 : | perform analysis of signal and noise from real data in time and frequency domain. | 2,3,4,5 | 1,3 | | PO - 4 : | realize filtering, windowing and correlation process to data | 2,3,4,5 | 1,3 | | PO - 5 : | gain programming ability and developing an algorithm to solute for different geophysical problems by using Fortran and MatLab software | 3,4 | 1,3 | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Linear and nonlinear systems, Digital signal analysis, Fourier series, 1D and 2D discrete and fast Fourier transform and spectrum concepts, Hilbert and Z transforms, Linear fitler types, 1D and 2D fitler design in time and frequency domain, frequency-wavenumber (f, k) filters, Window types and windowing, Convolution-Deconvolution, Correlations, Wiener deconvolution structures, Fortran and MatLab applications of all topics. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Linear and nonlinear systems | | | Week 2 | Digital Signal Analysis, Fourier series | | | Week 3 | 1-ve 2-Boyutlu Ayrık ve Hızlı Dönüşümü | | | Week 4 | Fourier Spectrumu and Properties | | | Week 5 | Convolution and Correlations | | | Week 6 | Window Types and Windowing | | | Week 7 | İdeal Filter Types | | | Week 8 | 1-D and 2-D Filter Design in Time and Frequency DomainArasınav | | | Week 9 | Mid-term exam | | | Week 10 | Frequency-Wavenumber (f, k) filter | | | Week 11 | Hilbert and defining complex signal | | | Week 12 | Z-Transforms, wavelet lags, correlations | | | Week 13 | Deconvolution and types | | | Week 14 | Wiener Deconvolution Structures | | | Week 15 | Z-transformation and deconvolution | | | Week 16 | End-of-term exam | | | |
| 1 | Buttkus, B., 2000, Spectral Analysis and Filter Theory in Applied Geophysics, Springer-Verlag, Germany. | | | 2 | Robinson, E. A., (1983), Multichannel Time Series Analysis, Goose Pond Press, 455p. | | | 3 | Press, W.H., Teukolsky, S.A., Vetterling, W.T., and Flannery, B.P., (1996), Numerical Receips in Fortran. The Art of Scientific Computing. 2nd Edition, Cambridge University Press, 933p. | | | 4 | Yılmaz, O., Seismic Data Processing, (1987), Society of Exploration Geophysicsts. | | | |
| 1 | Robinson, E. A., and Treitel, S., (1980), Geophysical Signal Analysis, Prentice Hall, 446p. | | | 2 | Lindseth, R. O., 1982, Digital Processing of Geohysical Data: A Review, Technica Resource Development Ltd., Alberta, Canada. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 2 | 30 | | In-term studies (second mid-term exam) | 12 | | 2 | 20 | | End-of-term exam | 16 | | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 6 | 14 | 84 | | Arasınav için hazırlık | 9 | 1 | 9 | | Arasınav | 2 | 1 | 2 | | Uygulama | 2 | 14 | 28 | | Ödev | 5 | 8 | 40 | | Dönem sonu sınavı için hazırlık | 18 | 1 | 18 | | Dönem sonu sınavı | 2 | 1 | 2 | | Total work load | | | 225 |
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