Adjustment Computations I

Catalog description

3 Lecture Hour(s) 0 Lab Hour(s) This course recognizes the basic tenet that no measurement is ever exact and hence will have an error. The fundamentals of errors and the methods of analyzing them will be examined by evaluating graphical representations of data and numerical methods of data description. Random error theory will be covered by examining simple probability and the normal distribution function followed by statistical testing and confidence intervals. Error propagation in surveying measurements of indirectly measured quantities, traverse surveys, and differential leveling will be examined. Weights of observations will be covered for the various types of survey measurements.