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| JDZ7293 | Analiysis of Geodetic Data | 3+0+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of GEOMATICS ENGINEERING | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Prof. Dr. Emine TANIR KAYIKÇI | | Co-Lecturer | None | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Statistical analysis of geodetic data and adjustment results. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | learn estimation theory. | 1 | 1 | | PO - 2 : | learn to design hypothesis tests for different geodetic problems. | 1 | 1 | | PO - 3 : | learn to test whether data is on normal dispersion or not. | 1 | 1 | | PO - 4 : | determine measurements with outlier. | 1 | 1 | | PO - 5 : | learn classical and alternative parameter estimation theories. | 1 | 1 | | PO - 6 : | learn Time Series Analsis methods. | 1 | | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Physical and model environs theories. Estimation theory, decision theory. 1st and 2nd type errors. Testing of sample aggregate whether or not on normal dispersion. Testing of data whether is homogen or not. The testing of model hypothesis. Outlier detection. Significant test of adjustment results. Linear hypothesis testing. Equivalent testing of sample aggregate?s parameters. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | concepts of Physical and model environment | | | Week 2 | Estimation Principle | | | Week 3 | Decision Theory | | | Week 4 | 1. and 2. type errors | | | Week 5 | Statistical tests to investigate whether data is on normal distribution or not | | | Week 6 | Statistical tests to investigate whether data is homogeneous or not. | | | Week 7 | Outlier detection | | | Week 8 | Outlier detection and applications | | | Week 9 | Mid-term exam | | | Week 10 | Model Hypothesis test: constitute of hypothesis, and processing steps | | | Week 11 | Significance tests for adjustment results | | | Week 12 | Linear Hypothesis tests and equivalence test of parameters of sample groups | | | Week 13 | 2. Mid-term Exam | | | Week 14 | Overall repetations and applications | | | Week 15 | Overall repetations and applications | | | Week 16 | End-of-term exam | | | |
| 1 | Dilaver, A. 2009. Jeodezik Verilerin İstatistik Analizi, KTÜ Ders Notları (yayımlanmadı). | | | 2 | Mikhail, E. M. 1976; Observations and Least Squares. Iep-A Dun-Donnelley Publisher, New York, NY. | | | |
| 1 | Koch, K. R. 1998. Parameter estimation and hypothesis testing in linear models, Springer-Verlag, Berlin 1988. XVI 378 pp. DM 78. | | | 2 | Öztürk, E., Şerbetçi, M., 1992; Dengeleme Hesabı III, KTÜ Trabzon. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | | 2 | 30 | | In-term studies (second mid-term exam) | 13 | | 2 | 20 | | End-of-term exam | 16 | | 2 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 3 | 14 | 42 | | Arasınav için hazırlık | 10 | 1 | 10 | | Arasınav | 2 | 1 | 2 | | Kısa sınav | 2 | 1 | 2 | | Dönem sonu sınavı için hazırlık | 20 | 1 | 20 | | Dönem sonu sınavı | 2 | 1 | 2 | | Diğer 1 | 5 | 14 | 70 | | Total work load | | | 190 |
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