The theory of ordered sets has its origins in logic, set theory, and algebra, particularly the study of lattices. The main questions studied and methods used in investigations of orders draw from these areas and have a clear combinatorial aspect. The theory is closely linked to graph theory, universal algebra and multiple-valued logic. It has applications to both classical topics ranging from set theory to formal calculus and to applied areas such as decision science, social networks, e-learning systems, security, and biomedical sciences.
We describe two sets of courses designed to enhance the mathematical, statistical, and computational training of life science undergraduates at Emory College. The first course is an introductory sequence in differential and integral calculus, modeling with differential equations, probability, and inferential statistics. The second is an upper-division course in computational neuroscience. We provide a description of each course, detailed syllabi, examples of content, and a brief discussion of the main issues encountered in developing and offering the courses.