Trend projection methods covering linear trend model, regression trend line equation (Ŷ = a + bx), normal equations for calculating a and b constants, properties of best fit trend line, solved examples for sugar factory and tourist arrivals data, seasonal effects measurement and seasonal index calculation (simple averages method, ratio-to-trend method, ratio-to-moving average method, link relatives method), deseasonalized values calculation, cyclical variations measurement, relative cyclical residual calculation with solved examples.
Introduction to operations research covering course introduction, genesis of OR (WWII origins, post-war growth), features of OR (scientific method/research, search for optimality, algorithmic, cross-functional, broad applicability), steps in OR implementation, important problem features (decision variables, parameters, objective function types, constraints, relevant data), formulation of mathematical model, solving and testing model, application, prerequisites (elementary row operations, Gaussian reduction), characteristics of OR, examples.
