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| JDZ7214 | Kalman Filtering and Smoothing in Geodesy | 3+0+0 | ECTS:7.5 | | Year / Semester | Spring 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. Mualla YALÇINKAYA | | Co-Lecturer | Prof. Dr. Mualla YALÇINKAYA | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Analysing of geodetic problems by Kalman Filtering method. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | learn the concepts of prediction, filtering and smoothing. | 1,2 | 1,3 | | PO - 2 : | learn the applications of Kalman Filter in geodetic problems. | 1,5 | 1,3 | | PO - 3 : | learn studying of the results of Kalman Filter and LSQ. | 1,2,3,9 | 1,3 | | PO - 4 : | learn evaluating the results of Kalman Filter and LSQ together. | 1,5,7,10 | 1,3 | | 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 | | |
| Prediction, filtering and smoothing. Linear filtering and smoothing. Non-linear approaches. Applying constant interval approaches to geodetic problems. Kalman Filtering method, accuracy analysis and applying to geodetic problems. Comparing Kalman Filtering and LSQ results and approaches for the combined adjustment of them. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Prediction | | | Week 2 | Filtering and smoothing | | | Week 3 | Linear filtering and smoothing | | | Week 4 | Non-linear approaches | | | Week 5 | Applying constant interval approaches to geodetic problems | | | Week 6 | Kalman Filtering method | | | Week 7 | Accuracy analysis | | | Week 8 | Mid-term exam | | | Week 9 | Accuracy analysis and applying to geodetic problems | | | Week 10 | Comparing Kalman Filtering and LSQ results | | | Week 11 | Approaches for the combined adjustment using Kalman Filtering | | | Week 12 | An application of leveling networks | | | Week 13 | An application of Baseline network | | | Week 14 | An application of Baseline network - continue | | | Week 15 | An application of GPS networks | | | Week 16 | End-of-term exam | | | |
| 1 | Grewal, M. S., Andrews, A. P., 1993, Kalman Filtering Theory and Practice, Printice Hall, Englewood Cliffs, New Jersey. | | | |
| 1 | Yalçınkaya (Ünver), M., 1994, Düşey Yöndeki Yerkabuğu Deformasyonlarının Kinematik Model İle Belirlenmesi, Doktora Tezi, K.T.Ü., Fen Bilimleri Enstitüsü, Trabzon. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 8 | | 1 | 30 | | Homework/Assignment/Term-paper | 14 | | | 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 | | Sınıf dışı çalışma | 6 | 14 | 84 | | Ödev | 6 | 3 | 18 | | Total work load | | | 102 |
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