Syllabus ( EMS 612 )
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Basic information
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Course title: |
Geophysical Data Processing |
Course code: |
EMS 612 |
Lecturer: |
Assist. Prof. Diğdem ACAREL
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ECTS credits: |
7.5 |
GTU credits: |
3 (3+0+0) |
Year, Semester: |
2021-2022, Fall |
Level of course: |
Third Cycle (Doctoral) |
Type of course: |
Area Elective
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Language of instruction: |
English
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Mode of delivery: |
Face to face
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Pre- and co-requisites: |
None |
Professional practice: |
No |
Purpose of the course: |
The aim of this course is to introduce data processing techniques that are widely used in geophysics and related fields of Earth Sciences |
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Learning outcomes
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Upon successful completion of this course, students will be able to:
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identify basic concepts of data processing in theory.
Contribution to Program Outcomes
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Mastering Basic Earth / Marine Science Concepts by Specialization
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To know the application domain of Earth-Marine Science
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To be able to interpret the produced data in terms of complex processes occurring in nature by processing with different software
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To be able to fulfill their responsibilities fully and on time in group work and scientific projects
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To be aware of and follow the rapid technological and scientific change in the field of Earth and Marine science
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To have a good command of Turkish and English terms related to Earth and Marine Sciences and to be able to express ideas effectively in both languages orally and in writing
Method of assessment
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Homework assignment
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Students will be able to utilize different data processing methods in related problems in Earth Sciences
Contribution to Program Outcomes
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Mastering Basic Earth / Marine Science Concepts by Specialization
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To know the application domain of Earth-Marine Science
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To understand the interdisciplinary structure of Earth-Marine Science and to associate it with other disciplines
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To be able to design and conduct experimental studies in the field of Earth Science and/or Marine Science that he/she specializes in and to be able to interpret the relevant physical, chemical, biological occurring in nature
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To be able to interpret the produced data in terms of complex processes occurring in nature by processing with different software
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To be able to fulfill their responsibilities fully and on time in group work and scientific projects
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To be aware of and follow the rapid technological and scientific change in the field of Earth and Marine science
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Adopting an open approach to continuous learning and following up-to-date and reliable sources of information
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To have a good command of Turkish and English terms related to Earth and Marine Sciences and to be able to express ideas effectively in both languages orally and in writing
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To be able to write reports, scientific articles and theses at international level in accordance with ethical rules
Method of assessment
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Homework assignment
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Students will be able to implement data processing techniques in MATLAB or an equivalent programming language
Contribution to Program Outcomes
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Mastering Basic Earth / Marine Science Concepts by Specialization
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To know the application domain of Earth-Marine Science
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To understand the interdisciplinary structure of Earth-Marine Science and to associate it with other disciplines
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Having up-to-date knowledge of Earth or Marine Science
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To be able to plan and implement fieldwork within the scope of Earth Science and/or Marine Science
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To be able to interpret the produced data in terms of complex processes occurring in nature by processing with different software
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To be able to fulfill their responsibilities fully and on time in group work and scientific projects
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To be aware of and follow the rapid technological and scientific change in the field of Earth and Marine science
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Adopting an open approach to continuous learning and following up-to-date and reliable sources of information
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To have a good command of Turkish and English terms related to Earth and Marine Sciences and to be able to express ideas effectively in both languages orally and in writing
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To be able to write reports, scientific articles and theses at international level in accordance with ethical rules
Method of assessment
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Written exam
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Homework assignment
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Contents
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Week 1: |
Course overview |
Week 2: |
Basic concepts. Continuous and discrete data. Wavelet and properties. Random data |
Week 3: |
Probability. Binomial, Poisson, Gaussian distributions |
Week 4: |
Fourier transform, Sampling in time and frequency. Nyquist Theorem |
Week 5: |
Discrete Fourier Transform and 2D Fourier Transform |
Week 6: |
The Z transform, Hilbert transform |
Week 7: |
Processing time series: Convolution |
Week 8: |
Mid Term Exam and Convolution |
Week 9: |
Processing time series: Correlation, auto correlation, cross correlation. Power Spectrum |
Week 10: |
Processing time series: Filtering, deconvolution, linear filters |
Week 11: |
Least squares fitting |
Week 12: |
Windowing; Cosine, Tukey, Bartlett, Hamming, Hanning window |
Week 13: |
Special 2D filters in Earth Sciences: f-k transform |
Week 14: |
Special 2D filters in Earth Sciences: tau-pi transform |
Week 15*: |
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Week 16*: |
Final Exam |
Textbooks and materials: |
"Spectral Analysis and Filter Theory in Applied Geophysics” by Buttkus, B., 2000, Springer. “The Fast Fourier Transform” by Brigham, E.O., 1974, Prentice Hall. |
Recommended readings: |
Jeofizikte Veri Islem by Nezihi Canitez, 1984, ITU Matbaasi. Seismic Data Processing” by Yilmaz. Ö., 1997, Society of Exploration Geophysics. |
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* Between 15th and 16th weeks is there a free week for students to prepare for final exam.
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Assessment
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Method of assessment |
Week number |
Weight (%) |
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Mid-terms: |
8 |
20 |
Other in-term studies: |
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0 |
Project: |
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0 |
Homework: |
4, 5, 10, 13 |
40 |
Quiz: |
- |
0 |
Final exam: |
16 |
40 |
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Total weight: |
(%) |
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Workload
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Activity |
Duration (Hours per week) |
Total number of weeks |
Total hours in term |
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Courses (Face-to-face teaching): |
3 |
14 |
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Own studies outside class: |
3 |
15 |
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Practice, Recitation: |
0 |
0 |
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Homework: |
4 |
4 |
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Term project: |
0 |
0 |
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Term project presentation: |
0 |
0 |
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Quiz: |
0 |
0 |
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Own study for mid-term exam: |
3 |
7 |
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Mid-term: |
2 |
1 |
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Personal studies for final exam: |
4 |
15 |
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Final exam: |
2 |
1 |
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Total workload: |
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Total ECTS credits: |
* |
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* ECTS credit is calculated by dividing total workload by 25. (1 ECTS = 25 work hours)
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