Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
MAGNETOTELLURIC AND CONTROLLED SOURCE AUDIOMAGNETOTELLURIC METHODS 801100805191 3 + 0 3.0 10.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Elective
Mode of delivery
Course Coordinator
Instructors İsmail DEMİRCİ
Assistants
Goals Can be know EM field theory, otain impedance equation for layered earth model, can be do MT and CSAMT field application, can be do data processing of those data, can be use 1D, 2D, and 3D modeling and inversion techniques for MT and CSAMT data, can be use
Course Content To derive EM wave equation from Maxwell equations, impedance and tipper tensors and apparent resistivity and phase calculations, MT and CSAMT methods data acqusition, data processing. 1D,2D and 3D modeling in MT and CSAMT methods. 1D, 2D and 3D inversion of the MT and CSAMT data.
Learning Outcomes 1) Obtains Maxwell equations and EM wave equations from them
2) MT and CSAMT methods take measurements in the field
3) Performs basic data processing of measured data
4) Perform 1D and 2D inversion of data
5) Research and use new data processing, data collection and modeling techniques in methods

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Measurements in MT Method by Source and Data Collection Technique Lecture; Question Answer; Problem Solving
Colloquium
Problem Based Learning 		Homework
2. Week Maxwell Equations and the elimination of EM wave equations in time and frequency environment Lecture; Problem Solving
Brainstorming; Six Hats Thinking
Problem Based Learning; Storyline 		Homework Presentation (Including Preparation Time)
3. Week Classification of EM methods according to time and frequency environment and frequency range in Geophysics Lecture; Question Answer; Problem Solving
Brainstorming; Six Hats Thinking
Project Based Learning; Problem Based Learning 		Homework Presentation (Including Preparation Time)
4. Week Basic Theory of Magnetotelluric (MT) Method Lecture; Question Answer; Problem Solving
Brainstorming; Six Hats Thinking
Problem Based Learning; Storyline 		Homework Presentation (Including Preparation Time)
5. Week Data Processing Stages of MT Data-1 Lecture; Question Answer
Six Hats Thinking; Opinion Pool
Problem Based Learning; Storyline 		Homework Presentation (Including Preparation Time)
6. Week Data Processing Stages of MT Data-2 Lecture; Question Answer; Problem Solving
Brainstorming; Six Hats Thinking
Problem Based Learning; Storyline 		Homework Presentation (Including Preparation Time)
7. Week 1B Interpretation of MT Data: Nibblett-Bostic Transformation, z-r transform, definition and properties of impedance Lecture; Question Answer; Problem Solving
Six Hats Thinking; Opinion Pool
Project Based Learning; Problem Based Learning 		Homework Presentation (Including Preparation Time)
8. Week 1B Modeling and Inversion of MT Data Lecture; Question Answer; Problem Solving
Six Hats Thinking; Opinion Pool
Project Based Learning; Problem Based Learning 		Homework Presentation (Including Preparation Time)
9. Week 2D Inversionof MT Data-1: TE- and TM-mode Concept, Decomposition Analysis and Static Shift Effect Lecture; Question Answer; Problem Solving
Brainstorming; Opinion Pool
Project Based Learning; Problem Based Learning 		Homework Presentation (Including Preparation Time)
10. Week 2D Inversion of MT Data: regularized inversion Lecture; Question Answer; Problem Solving
Six Hats Thinking; Opinion Pool
Project Based Learning; Problem Based Learning 		Homework Presentation (Including Preparation Time)
11. Week Basic principles of CSAMT Lecture; Question Answer; Problem Solving
Six Hats Thinking; Opinion Pool
Project Based Learning; Problem Based Learning 		Homework Presentation (Including Preparation Time)
12. Week Measured data, source type and measurement devices in the field Lecture; Question Answer; Problem Solving
Six Hats Thinking; Opinion Pool
Project Based Learning; Problem Based Learning 		Homework Presentation (Including Preparation Time)
13. Week Data processing of CSAMT Lecture; Question Answer; Problem Solving
Six Hats Thinking; Opinion Pool
Project Based Learning; Problem Based Learning 		Homework Presentation (Including Preparation Time)
14. Week 2D inversion of CSAMT Lecture; Question Answer; Problem Solving
Brainstorming; Six Hats Thinking
Project Based Learning; Problem Based Learning 		Homework Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
"Keller, G. V. and Frischknecht, F. C., 1970, Electrical methods in geophysical prospecting, Pergamon Press. 519 pp. "
"Mark Berdichevsky, Vladimir I. Dmitriev, 2008. Models and Methods of Magnetotellurics. Springer "
"Zhdanov, M. S., and Keller, G. V., 1994, The geoelectrical methods in geophysical exploration; Elsevier, Amsterdam. "
Geophysics, Geophysical Prospecting, Geophysical Journal Int. gibi Periyodik Dergilerden güncel makaleler
Nabighian M.N., Electromagnetic methods in applied geophysics (SEG publ)
Zhdanov, M. S., 2009. Geophysical electromagnetic theory and methods. Elsevier

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4DK5
PY1505000
PY9330000
PY16500500

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 4
Work Hour outside Classroom (Preparation, strengthening) 14 4
Homework 10 15
Presentation (Including Preparation Time) 7 2
Report (Including Preparation and presentation Time) 6 2
Midterm Exam 1 2
Time to prepare for Midterm Exam 1 6
Final Exam 1 2
Time to prepare for Final Exam 1 10
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
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Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload