Course Name Code Semester T+U Hours Credit ECTS
Electromagnetic Methods In Geophysics JFM 518 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi AYHAN KESKİNSEZER
Course Lecturers
Course Assistants
Course Category
Course Objective

The ground surface and in the air in relation to the application of electromagnetic methods have widespread use all over the world to examine the theoretical basis and the new developments and diversity in practice is to teach the students.

Course Content

Basic theoretical background of electromagnetic methods; Maxwell equations; definition of apparent resistivity; the field system and measurement techniques of ground and airborne time and frequency domain electromagnetic methods; long-offset transient electromagnetic method with horizontal electric dipole; near-surface investigations with horizontal magnetic dipole; single and multichannel systems; stacking methods; digital filters; deconvolution; distortions of the signal and their compensations; one and multi dimensional modeling; imaging method; inversion algorithms; data processing and interpretation; resolving resistive layers; deep crustal applications; electromagnetic methods in environmental geophysics; general example applications.

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Students recognize and distinguish of electromagnetic methods Lecture, Question-Answer, Simulation, Case Study, Testing,
2 Students apply the current electromagnetic measurement system Lecture, Question-Answer, Simulation, Case Study, Testing,
3 Students land under the terms of the designs and apply the most appropriate measurement methods Lecture, Question-Answer, Simulation, Case Study, Testing,
4 Students will evaluate and interpret the measured data Lecture, Question-Answer, Simulation, Case Study, Testing,
5 Students apply methods of data accumulation and image Lecture, Question-Answer, Simulation, Case Study, Testing,
6 Students mining area to find the electromagnetic methods are applied Lecture, Question-Answer, Simulation, Case Study, Testing,
7 Students investigate shell electromagnetic methods are applied Lecture, Question-Answer, Simulation, Case Study, Testing,
8 Students, to find oil field magnetic methods are applied Lecture, Question-Answer, Simulation, Case Study, Testing,
9 Students will decide and airborne electromagnetic methods are applied. Lecture, Question-Answer, Simulation, Case Study, Testing,
10 Students, environmental purposes, and as they decide to apply the electromagnetic method Lecture, Question-Answer, Simulation, Case Study, Testing,
Week Course Topics Preliminary Preparation
1 Basic theoretical background of electromagnetic methods
2 Maxwell equations; definition of apparent resistivity; the field system and measurement techniques
3 relating to electromagnetic methods the field system and measurement techniques
4 Actual measure systems in electromagnetic
5 Deep transient electromagnetic system
6 near-surface investigations with horizontal magnetic dipole; single and multichannel systems
7 Stacking methods
8 Image methods
9 Data processing and interpretation techniques
10 Resistive layers research
11 Deep crustal applications in electromagnetic
12 Electromagnetic methods and applications for mining field research
13 Airborne electromagnetic methods
14 Electromagnetic methods and applications for environmental research
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
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
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
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 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
7 gain high level ability to define the required information and data X
7 gain high level ability to define the required information and data X
7 gain high level ability to define the required information and data X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement X
11 aware of new and developing application of profession and ability to analyze and study on those applications X
11 aware of new and developing application of profession and ability to analyze and study on those applications X
11 aware of new and developing application of profession and ability to analyze and study on those applications X
12 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment X
12 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment X
12 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 100
Total 100
1. Yıl İçinin Başarıya 40
1. Final 60
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 18 18
Final examination 1 20 20
Total Workload 150
Total Workload / 25 (Hours) 6
dersAKTSKredisi 6