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.