This course examines the basic principles of modeling in Linear Programs, Simplex method, Big M method, Two Phase, Duality, Transportation, Assignment, Shortest Path Problem, Minimum
Examining the concepts of basic knowledge of statistics, population, samples, measures of data concentration, measures of location and dispersion, presentation of data in table form,
Examining the concepts of basic knowledge of statistics, population, samples, measures of data concentration, measures of location and dispersion, presentation of data in table form,
Examining the concepts of basic knowledge of statistics, population, samples, measures of data concentration, measures of location and dispersion, presentation of data in table form,