Course Name Code Semester T+U Hours Credit ECTS
Modeling In Geophysics JFM 309 5 2 + 1 3 4
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Dr.Öğr.Üyesi MAHİR IŞIK
Course Lecturers Dr.Öğr.Üyesi MAHİR IŞIK,
Course Assistants
Course Category
Course Objective Modeling of underground or source causing a geophysical anomaly and determination of model parameters.
Course Content Aim and content of modeling in geophysics, modeling in solutions of the forward and inverse problems, the linear and nonlinear problems and their solution techniques, applications of the forward and inverse solution techniques in geophysics.
# Course Learning Outcomes Teaching Methods Assessment Methods
1 He/She defines aim and content of modeling in geophysics, , , ,
2 He/She distinguishes fundamental principles of problem solutions by using deterministic and stochastic approaches, , , ,
3 He/She explains relationship between the forward solution and the inverse solution, , , , , ,
4 He/She explains the forward and inverse solution in linear system approaches, , , ,
5 He/She distinguishes linear and nonlinear problems, , , , ,
6 He/She determines the parameters by using various forward and inverse solution techniques. , , , , , ,
Week Course Topics Preliminary Preparation
1 Aim and content of modeling in geophysics
2 Fundamental principles of problem solutions by using deterministic and stochastic approaches
3 Principles of modeling in forward solution by using deterministic approach
4 Forward solution and modeling in geophysical methods with spontaneous potential field
5 Forward solution in linear system modeling
6 Principles of modeling in forward solution by using stochastic approach
7 Inverse solution and modeling in deterministic approach
8 Inverse solution in linear system approaches
9 Solutions of inverse problem in geophysics
10 Linear and nonlinear problems
11 Least squares technique
12 Gauss-Newton and gradient inverse solution methods
13 Marquardt-Levenberg inverse solution method
14 Determination of Marquardt factor, convergence criterion and initial parameters
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. X
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.
5 -Engineering graduates with skills in designing and conducting experiments, collecting data, analyzing and interpreting the results in order to evaluate engineering problems. X
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
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
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
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. Ara Sınav 60
1. Kısa Sınav 10
1. Ödev 20
2. Kısa Sınav 10
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
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 1 16
Mid-terms 1 10 10
Quiz 2 5 10
Assignment 1 10 10
Final examination 1 15 15
Total Workload 109
Total Workload / 25 (Hours) 4.36
dersAKTSKredisi 4