Course detail
Analysis of Measuring Data
FAST-DEB054Acad. year: 2025/2026
Planning of experimentsMultidimensional quantities and their characteristics. Accuracy measures and their meaning. Testing and analysis of measurement results and values entering the adjustment process. Physical and mathematical correlation. Partial and multi-dimensional correlation. Matrix of correlation coefficients, covariance matrix. Systematical errors. Laws of error propagation. Errors of composite functions. Analysis of error limits. Adjustment of correlated measurements. Block adjustment. Collocation. Kalman filter. Robust adjustment methods. Analysis of covariance and weight matrixes. Planning of experiments, optimization methods. Design of methodology and technology for complex accuracy evaluation in doctor thesis.
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Classification of course in study plans
- Programme DPC-GK Doctoral 1 year of study, winter semester, compulsory-optional
- Programme DPA-GK Doctoral 1 year of study, winter semester, compulsory-optional
- Programme DPC-GK Doctoral 1 year of study, winter semester, compulsory-optional
- Programme DKA-GK Doctoral 1 year of study, winter semester, compulsory-optional
Type of course unit
Lecture
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Syllabus
- 1. Multidimensional quantities. Accuracy measures.
- 2. Testing and analysis of measurements results. Physical and mathematical correlation. Testing of inputs of adjustment process.
- 3. Systematical errors. Laws of error propagation. Errors of composite functions.
- 4. Matrix of correlation coefficients, covariance matrix. Adjustment of correlated measurements. Block adjustment.
- 5. Collocation. Kalman filter. Robust adjustment. Analysis of covariance and weight matrixes.
- 6. Planning of experiments. Optimization methods.