This course contains content about the background of a decision that must be taken, the purpose and function of decision making, types of decisions, the basis for making a decision, factors that influence making a decision, making a decision tree diagram, the process of making a decision based on parameters decisions, decision making in situations of uncertainty, linear programming to maximize and minimize a function, decision situations with multiple targets, various weighting methods, minimizing deviations from targets, pure and impure competitive decision situations, complex decision situations, risk sharing, pareto optimization approach, group decision making. The next stage provides learning experiences for students to apply basic HRM concepts as outlined in writing papers and presenting them using Power-Point media. This course uses an expository and explanatory approach.