Course detail
Theory of errors and adjustment I
FAST-GE04Acad. year: 2012/2013
Classification of errors, laws of distibution errors, accuracy and precision, simple analysis of measurements, weight and cofactors, laws of propagation of errors, weights and cofactors, inverse formula, least squares method and adjustment, adjustment of direct observations, pairs of measurement, adjustment by elements, observation equations, residuals equations, normal equations and solution, standard deviations.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
2. Definition errors of measurements and their classification.
3. Distribution of random quantities and their specification in theory of errors
4. Standard deviation and simple analysis of precision
5. Weight, cofactors, covariance matrix, cofactor matrix
6. Laws of error propagation, law of weights propagation, inverse formula
7. Principle of least squares method, types of adjustment
8. Adjustment of direct observations, pairs of measurements
9. Principle of adjustment by elements, observation equations
10. Residuals equations, normal equations and their solution, standard deviation of unit weight
11. Standard deviation, computed quantities
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Hampacher, M., Radouch, V.: Teorie chyb a vyrovnávací počet 10. ČVUT Praha, 1997. (CS)
WEIGEL, Josef: Teorie chyb a vyrovnávací počet I. VUT, 2009. (CS)
Wolf, P.R., Ghilani, Ch.D.: Adjustment Computation. John Wiley, New York., 1997. (EN)
Recommended reading
Vykutil J.: Teorie chyb a vyrovnávací počet. VUT Brno, 1981. (CS)
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
2. Definition errors of measurements and their classification.
3. Distribution of random quantities and their specification in theory of errors
4. Standard deviation and simple analysis of precision
5. Weight, cofactors, covariance matrix, cofactor matrix
6. Laws of error propagation, law of weights propagation, inverse formula
7. Principle of least squares method, types of adjustment
8. Adjustment of direct observations, 9. Principle of adjustment by elements, observation equations
10. Residuals equations, normal equations and their solution, standard deviation of unit weight
11. Standard deviation, computed quantities
Exercise
Teacher / Lecturer
Syllabus
2. Distribution of random quantities, Normal distribution
3. Errors of measurements and their classification, random errors
4. Standard deviations, precision, accuracy
5. Confidence intervals
6. Weight, cofactors, cofactors matrix, covariance matrix
7. Examples of law propagation of errors
8. Examples of law propagation of standard deviations
9. Inverse problems of errors
10. Law of propagation of weight and cofactors
11. Adjustment of direct observations
12. Pairs of measurements. Final test
13. Check of fulfilling the credit conditions,granting of credits.