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HRT3032 | Design of Geodetic Networks | 2+0+0 | ECTS:4 | Year / Semester | Spring Semester | Level of Course | First Cycle | Status | Elective | Department | DEPARTMENT of GEOMATICS ENGINEERING | Prerequisites and co-requisites | None | Mode of Delivery | Face to face | Contact Hours | 14 weeks - 2 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: | To Teach Network Design and Optimization According to Construction Aims. |
Learning Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | LO - 2 : | Learn Geodetic datum and Turkish National Geodetic Networks and Datum | 1,2 | 1 | LO - 3 : | Learn Local-global accruracy and confidence criterions of geodetic networks | 1,2 | 1 | LO - 4 : | Learn Optimization Accroding to Aim Functions and Design Parameters | 1,2 | 1 | LO - 5 : | Prepare MATLAB codes to calculate parameters for geodetic network design | 1,2,4 | 1,6 | 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 | |
Introduction to Geodetic Network Design, Classification of Geodetic Networks, Turkish National Geodetic Networks and Datum, Test Statistics and Hypothesis Tests, Local and Global Accuracy and Confidence Criterian in Geodetic Network, Methods for Geodetic Network Design, Concept of Optimization and Design, Aim Funstion Oriented Optimization: Accuracy Optimization, Confidence Optimization, Cost Optimization, Design Parameter Oriented Optimization: 0.Order Datum Optimization, I. Order Shape Optimization, II. Order Observation Plan and Weight Optimization, III. Order Repair Optimization |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Classification of Geodetic Networks | | Week 2 | Turkish National Geodetic Networks | | Week 3 | Hypothesis Tests | | Week 4 | Global and Local Accuracy Criteria and Reliability Criteria in Geodetic Networks | | Week 5 | Methods for Geodetic Network Design | | Week 6 | Design and Optimization in General | | Week 7 | Optimization with Aim Function: Accruracy, Reliability and Cost Optimization, | | Week 8 | Mid-Term Exam | | Week 9 | Optimization with Aim Function: Accruracy, Reliability and Cost Optimization,Mid-term Homework Delivery | | Week 10 | Optimization with Aim Function: Accruracy, Reliability and Cost Optimization | | Week 11 | Optimization with Aim Function: Accruracy, Reliability and Cost Optimization | | Week 12 | Optimization with Design Parameters: I. degree , II. degree and III. Degree Optimization | | Week 13 | Optimization with Design Parameters: I. degree , II. degree and III. Degree Optimization | | Week 14 | Optimization with Design Parameters: I. degree , II. degree and III. Degree Optimization | | Week 15 | Evaluation of Homework subject in advance submission | | Week 16 | Final Exam | | |
1 | Graferend E.W. ve Sanso F. 1985. Optimization and Design of Geodetic Networks, Springer-Verlag, New-York. | | |
1 | Pelzer H. 1985. Geodatische Netze in Landes und Ingenieurvermessung-II, Kondrad Wittwer, Stutgart | | 2 | Koch K. R. 1999. Parameter Estimation and Hypothesis Testing İn Linear Models, Springer-Verlag, Berlin | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 8 | | 1 | 30 | Homework/Assignment/Term-paper | 13 | | 3 | 20 | End-of-term exam | 16 | | 1 | 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 | 2 | 14 | 28 | Sınıf dışı çalışma | 1 | 14 | 14 | Arasınav için hazırlık | 12 | 1 | 12 | Arasınav | 1 | 1 | 1 | Ödev | 2 | 10 | 20 | Dönem sonu sınavı için hazırlık | 18 | 1 | 18 | Dönem sonu sınavı | 1 | 1 | 1 | Diğer 1 | 1 | 6 | 6 | Total work load | | | 100 |
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