Decision Making, Models and Algorithms: A First Course

The author presents his approach to how undergraduate students in mathematics, business, computer science, and engineering should be introduced to the science of decision making. The material is designed to prepare the student for more advanced topics. The level of mathematics required is deterministic mathematics at an elementary level, including linear equations and graphs. Introductory probabilistic notions are assumed, but they are not used extensively and can be introduced by the instructor. The target audience is juniors, seniors, and advanced lower-division students. The text is for a one-semester course.