The course introduces different methods of data collection and the suitability of using particular methods for a given situation. It includes a coverage and discussion of the relationship of probability to statistics, probability distributions of random variables and their uses, linear functions of random variables within the context of their application to data analysis and inference, estimation techniques for unknown parameters, and hypothesis testing used in making inferences from sample to population, inference for future values of key variables under study. Finally, statistically based experimental design techniques and analysis of outcomes of experiments are discussed with the aid of statistical software.
This course covers introduction to geodesy, discussions on branches of geodesy; geometry of reference ellipsoids; reference systems and frames; geodetic datums; computations of geodetic positions; reductions of measurements to the ellipsoid; datum transformations and time systems. In addition, its application will be included in the fields of sustainable cities and communities, climate monitoring, life below water, and life on terrestrial ecosystems.