Data Prossesing In Geophysics II
Geophysical Engineering
Faculty of Engineering
First Cycle (Bachelor's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Data Prossesing In Geophysics II | JFZ212 | Compulsory | Bachelor's degree | 2 | Spring | 4 |
Name of Lecturer(s)
Prof. Dr. Bülent ORUÇ
Prof. Dr. Fadime SERTÇELİK
Learning Outcomes of the Course Unit
1) Describe the signal and noise in the geophysical data.
2) Analyzes the data with Fourier series and separate the data into components.
3) Analyzes the data statistically.
4) Describe the one and two-dimensional convolution process and data smoothing.
5) Describe the trend analyzes and data fitting.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | ||
| Learning Outcomes | ||||||||||||
| 1 | Middle | Middle | Low | High | High | Middle | Middle | Middle | High | Middle | High | |
| 2 | Low | High | Middle | High | Middle | Middle | High | High | Low | Middle | Middle | |
| 3 | High | Middle | High | Middle | Low | Middle | Middle | High | Middle | High | High | |
| 4 | Middle | High | Middle | Low | Middle | Low | High | Middle | High | Low | Middle | |
| 5 | High | Middle | High | Middle | Low | High | Middle | High | Middle | Middle | High | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
1) DATA PROSSESING IN GEOPHYSICS I Fulfilling the attendance requirement:
Recommended Optional Programme Components
NUMERICAL ANALYSIS
Course Contents
This course covers;properties and parameters of signals,periodic functions and Fourier Series,Power Spectrum,properties of Fourier transform, precalculations in calculating spectrum, windows,Hankel (Fourier-Bessel) Transform,Laplace transformation,Z Transforms,relation between Laplace, Z Transform and Fourier Transforms,Hilbert Transform,time domain studies,convolution deconvolution.
Weekly Schedule
1) Concepts of signal and noise in geophysics2) Data classification
3) Harmonic analysis and Fourier transform
4) Statistical analysis of data
5) Data smoothing with moving average and Gauss function
6) Use of Surfer software for smoothing two-dimensional data
7) Concept of convolution and filtering
8) Midterm exam
9) Low pass, high pass and band pass filtering
10) Basic principles and applications of data registration in geophysics
11) One-dimensional trend analysis
12) Two-dimensional trend analysis
13) Determination of wavelengths of signals and noise with spectral analysis
14) Data processing applications on measured data
15) Data processing applications on measured data
16) Final exam
Recommended or Required Reading
1- Oruç, B. 2020. Jeofizikte Veri İşlem Ders Notları. Kocaeli.
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Demonstration
6) Group Study
7) Case Study
8) Self Study
9) Problem Solving
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required