Course Name Code Semester T+U Hours Credit ECTS
Data Processing In Geophysics JFM 206 4 2 + 1 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Dr.Öğr.Üyesi GÜNAY BEYHAN
Course Lecturers Dr.Öğr.Üyesi GÜNAY BEYHAN,
Course Assistants
Course Category
Course Objective Aim of this course is to prepare geophysical data for interpretation by using various data processing techniques.
Course Content Classification of observed data, generation of random data, wavelet and its features, main statistical concepts; average value, variance, standard deviation etc., statistical methods; Gauss distribution, Student-t distribution, Chi-square test etc., approximation methods; linear approximation and least squares method etc., interpolation methods; linear interpolation, Lagrange interpolation method etc., moving average, correlation, autocorrelation, cross correlation, convolution and its application fields in geophysics.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 He/She distinguishes data types in geophysics, , , , , , , ,
2 He/She applies statistical methods, , , , , , , , ,
3 He/She defines interpolation methods, , , , , , , , , ,
4 He/She applies correlation and convolution processes, , , , , , , , , ,
5 He/She analyses data processing techniques, , , , , , , , , ,
6 He/She applies the methods due to the aim. , , , , , , , , ,
Week Course Topics Preliminary Preparation
1 Classification of observed data
2 Classification of observed data
3 Generation of random data
4 Wavelet and its features
5 Main statistical concepts; average value, variance, standard deviation etc.
6 Statistical methods; Gauss and Student-t distributions, Chi-square test etc.
7 Linear approximation and least squares method
8 Linear interpolation and Lagrange interpolation method
9 Moving average
10 Correlation and its types
11 Correlation and its types
12 Convolution processes
13 Features of convolution
14 Application fields of convolution in geophysics
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 -Engineering graduates with sufficient knowledge background on science and engineering subjects of their related area, and who are skillful in implementing theoretical and practical knowledge for modelling and solving engineering problems. X
2 -Engineering graduates with skills in identifying, describing, formulating and solving complex engineering problems, and thus,deciding and implementing appropriate methods for analyzing and modelling. X
3 -Engineering graduates with skills in designing a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; for this purpose, skills in implementing modern design methods.
4 -Engineering graduates with skills in developing, selecting and implementing modern techniques and tools required for engineering applications as well as with skills in using information technologies effectively. X
5 -Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems.
6 -Engineering graduates who are able to work within a one discipline or multi-discipline team,as well as who are able to work individually X
7 -Engineering graduates who are able to effectively communicate orally and officially in Turkish Language as well as who knows at least one foreign language X
8 -Engineering graduates with motivation to life-long learning and having known significance of continuous education beyond undergraduate studies for science and technology
9 -Engineering graduates with well-structured responsibilities in profession and ethics X
10 -Engineering graduates having knowledge about practices in professional life such as project management, risk management and change management, and who are aware of innovation and sustainable development.
11 -Engineering graduates having knowledge about universal and social effects of engineering applications on health, environment and safety, as well as having awareness for juridical consequences of engineering solutions.
Evaluation System
Semester Studies Contribution Rate
1. Ödev 30
Total 30
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 2 32
Hours for off-the-classroom study (Pre-study, practice) 16 2 32
Mid-terms 1 20 20
Quiz 2 9 18
Assignment 8 1 8
Final examination 1 15 15
Total Workload 125
Total Workload / 25 (Hours) 5
dersAKTSKredisi 5