Ondokuz Mayıs Üniversitesi Bilgi Paketi - Ders Kataloğu

Description of Individual Course Units

Course Unit CodeCourse Unit TitleType of CourseYearSemesterECTS
HRT324 Geodetic Network Design (EC 4) 927006 3 6 5
Level of Course Unit
First Cycle
Objectives of the Course
Design of geodetic network according to establishment aim.
Name of Lecturer(s)
Yrd. Doç. Dr. Yasemin Şişman
Learning Outcomes
  1. Recognizing the basic networks established with satellite techniques
  2. making the optimization of geodetic networks
  3. making the design of geodetic networks
  4. Recognizing the existing basic networks
Mode of Delivery
Formal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Recommended or Required Reading
Graferend, E.W. and Sanso, F., 1985. Optimization and Desing of Geodetic Networks, Springer-Verlag, New York.Öztürk, E., Şerbetçi, M., 1992. Dengeleme Hesabı III, KTÜ Müh. Mim. Fak., Trabzon 1992.
Planned Learning Activities and Teaching Methods
Language of Instruction
Turkish
Work Placement(s)
None
Course Contents
Types of geodetic networks and establishment aims. Precision and confidence criterions in geodetic networks. Design and optimization concepts. Aim functions oriented optimization (precision, confidence, mathematical optimization). Design parameter oriented optimization (datum, shape, observation plan, and weight). Analysis methods for optimization problems.
Weekly Detailed Course Contents
Week Theoretical Practice Laboratory
1.Types of geodetic networks, and evaluation models
2.Establishment principles of geodetic networks
3.Evaluation models of geodetic networks
4.Evaluation models of geodetic networks
5.Precision and reliability criteria in geodetic networks,
6.Precision and reliability criteria in geodetic networks,
7.optimization concepts,
8.Optimization of geodetic networks
9.Optimization of geodetic networks
10.Midexam
11.Objective functions and design matrix,
12.the optimization According to the design parameters
13.the optimization according to objective function.
14.the optimization according to objective function.
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight (%)
Midterm Examination140
SUM40
End Of Term (or Year) Learning ActivitiesQuantityWeight (%)
SUM0
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Workload Calculation
ActivitiesQuantityTime(hours)Total Workload(hours)
Midterm Examination122
Final Examination122
Attending Lectures14456
Tutorial14570
SUM130