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FACULTY of ENGINEERING / DEPARTMENT of GEOMATICS ENGINEERING /
Katalog Ana Sayfa
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HRT3001Adjustment Calculus - I2+1+0ECTS:4
Year / SemesterFall Semester
Level of CourseFirst Cycle
Status Compulsory
DepartmentDEPARTMENT of GEOMATICS ENGINEERING
Prerequisites and co-requisitesNone
Mode of DeliveryFace to face
Contact Hours14 weeks - 2 hours of lectures and 1 hour of practicals per week
LecturerProf. Dr. Mualla YALÇINKAYA
Co-LecturerASSOC. PROF. DR. Emine TANIR KAYIKÇI,
Language of instructionTurkish
Professional practise ( internship ) None
 
The aim of the course:
Determination of exact value which is the nearest value to real value of unknowns (values having highest probability, adjusted values) by using data more than necessary number, determination of accuracies of exact values or their functions.
 
Learning OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
LO - 1 : understand that each geodetic observation contains error and imagine the necessity of adjustment calculations.1,21
LO - 2 : calculate accuracies of measurements and their functions and can evaluate how much we can reach real value.1,21
LO - 3 : learn Theory of Error Propagation and calculate accuracies by applying to functions of measurements1,21
LO - 4 : calculate and interprete exact value and mean square error of exact value and its function by means of adjustment of direct measurement with Least Squares Method and make solutions with computer program.1,21
LO - 5 : write code in Matlab environment for the solution of adjustmen calculation problems1,2,44
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

 
Contents of the Course
Error and correction concepts. Accuracy criterions. Correlation. Theory of error propagation. Weight. Mean Square error and error calculations. Subject, principles and types of adjustment calculus. The Least Squares method. Adjustment of direct measurements. Adjustment of direct measurements on different and equal weights. Adjustment of direct measurements on different precissions and correlations. Adjustment of unknown vector determined at different times. Adjustment of indirect measurements. Adjustment of indirect measurements on different and equal weights. Adjustment of indirect measurements on different precissions and correlations.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1General definition of adjustment calculation. Error and correction concepts. Accuracy criterions.
 Week 2Definition of correlation. Physical an algebraic correlation. Theory of error propagation. Numeric exercise.
 Week 3Definition of weight. Definition of inverse weight and Theory of propagation of inverse weights. Numeric exercise.
 Week 4Mean error of unit measurement. Mean error of measurements on equal precissions and correlations. Numeric exercise.
 Week 5Mean error of arithmetic mean. Calculation of mean error with double measurement. Numeric exercise.
 Week 6Subject, principles and types of adjustment calculus. The Least Squares Method. Adjustment of direct measurements. Lab. Exam
 Week 7Adjustment of direct measurements on different and equal weights. Numeric exercise.
 Week 8Mid-term exam
 Week 9Adjustment of direct measurements on different precissions and correlations. Numeric exercise.
 Week 10Adjustment of unknown vector determined at different times. Numeric exercise.
 Week 11Model hypothesis testing and test of outlier observations.
 Week 12Geodetic datum, free adjustment, Lab. Exam
 Week 13Geodetic accuracy and confidence criteria.
 Week 14Numerical Applications.
 Week 15Homework review and various applications
 Week 16End-of-term exam
 
Textbook / Material
1Öztürk, E., Şerbetçi, M. 1991; Dengeleme Hesabı I, KTÜ Müh. Mim. Fak, Trabzon.
2Öztürk, E., Şerbetçi, M. 1987; Dengeleme Hesabı II, KTÜ Müh. Mim. Fak., Trabzon.
 
Recommended Reading
1Koch, K. R. 1999; Parameter Estimation and Hypothesis Testing in Linear Models, Springer-Verlag, Berlin.
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 8 2 30
Laboratory exam 6
12
1 20
End-of-term exam 16 2 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 2 14 28
Sınıf dışı çalışma 3 9 27
Arasınav için hazırlık 6 1 6
Arasınav 2 1 2
Uygulama 1 12 12
Ödev 5 8 40
Dönem sonu sınavı için hazırlık 8 1 8
Dönem sonu sınavı 2 1 2
Total work load125