Engineering Systems Analysis
Systems concept process, interest rate, present and future worth values, evaluation of alternatives, and elements of microeconomics. Theory of probability, laws of probabilities, random variables and distribution functions, functions of random variables, statistical estimations of data, mean and standard deviation, correlation, and regression analysis.
[(MATH 251 with min. grade of D)]