|
|
| HRT3012 | Adjustment Calculus - II | 2+1+0 | ECTS:3 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of GEOMATICS ENGINEERING | | Prerequisites and co-requisites | DC must have been achieved from HRT3001-Adjustment Calculus - I | | Mode of Delivery | Face to face, Lab work , Practical | | Contact Hours | 14 weeks - 2 hours of lectures and 1 hour of practicals per week | | Lecturer | Prof. Dr. Emine TANIR KAYIKÇI | | Co-Lecturer | PROF. DR. Mualla YALÇINKAYA, | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Constitution of mathematical model (functional and stochastic) at different geodetic control networks and estimation of unknown parameter and its function by means of Least Squares (LSQ) Principle, types of free adjustment and applications areas, determination of accuracy and confidence criteria, teaching the subject of coordinate transformations. |
| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | learn to constitute mathematical model at geodetic control networks. | 1,2 | 1 | | LO - 2 : | can calculate unknown parameters by means of Gauss-algorithm and matrix operations | 1,2 | 1 | | LO - 3 : | learn free adjustment of geodetic networks and its application areas. | 1,2 | 1 | | LO - 4 : | calculate and interprete accuracy and confidence criteria. | 1,2 | 1 | | LO - 5 : | lean adjusted coordinate transformation and its application area. | 1,2 | 1 | | LO - 6 : | prepare MATLAB codes for different adjustment calculation algorithms | 1,2,4 | 1,4 | | 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), LO : Learning Outcome | | |
| Station point adjustment. Reduction of residual equations, Datum problem in triangulation networks. Adjustment of triangulation, levelling and GPS networks with indirect measurement method. Calculation of error ellipse components. Conditional adjustment. Free adjustment of geodetic networks, S-transformation, determination of outlier measurements, coordinate transformation, adjusted affine and similarity transformation, concept of accuracy and confidence. |
| |
| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Description indirect measurement adjustment, indirect measurement adjustment sensitivity equal compensation, sample application. | | | Week 2 | Indirect measurement adjustment sensitivity equal compensation, sample applications.
| | | Week 3 | Weight of balancing different indirect measurement adjustment, the sample application. | | | Week 4 | Indirect measurement adjustment for sensitivity and diffirent correlations, sample application. | | | Week 5 | Reduction of residual equation, stop point (station) adjustment, sample application, homework announcement. | | | Week 6 | based and free of balancing of direction networks' functional and stochastic model, Lab Exam | | | Week 7 | Directional network adjustment, model hypothesis testing, test of outlier observations, applications.
| | | Week 8 | Mid-term exam. | | | Week 9 | Based on the free edge of the network and adjustment the functional and stochastic model, sample applications | | | Week 10 | Based and free adjustment of direction and edge networks, model hypothesis testing, test of outlier observations. | | | Week 11 | Application of Direction and edge networks indirect measurement with the method of adjustment. | | | Week 12 | based and free adjustment of leveling network model to test hypotheses, test of outlier observations, sample application. | | | Week 13 | GPS-based and free adjustment of the network model hypothesis testing, test of outlier observations, sample application, Lab. Exam | | | Week 14 | Concept of accuracy and confidence in geodetic networks. | | | Week 15 | Concept of accuracy and confidence in geodetic networks. | | | Week 16 | End-of-term exam. | | | |
| 1 | Ergün Öztürk, Muzaffer ŞERBETÇİ, Dengeleme Hesabı Cilt II, KTÜ Basımevi, Trabzon, 1995 | | | |
| 1 | Hüseyin DEMİREL, Dengeleme Hesabı, YTÜ Basımevi, İstanbul, 2005 | | | 2 | Wolf, P. R., Ghilani, C. D., 1997, Ghilani: Adjustment Computation : Statistics and Least Squares in Surveying and GIS, John Wiley and Sons, Inc., ISBN 0-471-16833-5. | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 8 | | 2 | 30 | | Laboratory exam | 6
13 | | 1 | 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 | 2 | 14 | 28 | | Laboratuar çalışması | 1 | 2 | 2 | | Arasınav için hazırlık | 10 | 1 | 10 | | Arasınav | 2 | 1 | 2 | | Uygulama | 0 | 0 | 0 | | Klinik Uygulama | 0 | 0 | 0 | | Ödev | 0 | 0 | 0 | | Proje | 0 | 0 | 0 | | Kısa sınav | 0 | 0 | 0 | | Dönem sonu sınavı için hazırlık | 12 | 1 | 12 | | Dönem sonu sınavı | 2 | 1 | 2 | | Diğer 1 | 3 | 2 | 6 | | Diğer 2 | 0 | 0 | 0 | | Total work load | | | 104 |
|