Design and analysis of algorithms and data structures for geometric problems. The particular groups of problems addressed include convex hull construction, proximity, Voronoi Diagrams, geometric search, intersection.

Application of the symbolic logic of Boole and Schroeder to the design of switching systems. Topics include Boolean algebra, Boolean analysis, the solution of logic equations, the minimization of Boolean formulas, and the diagnosis of failures in digital systems.

Analysis and synthesis of sequential machines via state-tables and regular expressions. Equivalence, minimization and decomposition of machines. Partitions and structure-theory. Identification and diagnosis of finite-state machines by means of input-output experiments. Linear, finite-memory, and information-lossless machines.

Advanced topics in the theory of computation and the design and analysis of algorithms, including heuristic approaches for algorithm design, parallel computation, flow problems, parallel and concurrent processes and other areas of current research interest. May be repeated to a maximum of six credits but only three credits may be earned under the same topic.

The purpose of this course is to introduce various aspects of the neural networks and neurocomputing. The course starts with an introduction to Learning Machines and analyzes various learning algorithms such as Hebbian, Grossberg's and Kohonen's learning algorithms. Some of the neural networks that will be studied in detail are: Backpropagation nets, Hopfield nets, Adaptive Resonance Theory, Adaline and Madalines, Kohonen's Self learning nets, BAMS, Neocognition, etc. Students will implement a minimum of three learning algorithms.

An advanced study of operating systems theory including cooperating sequential processes, processor scheduling, paging systems, and memory management.

An overview of the Speech-Language Pathology and Audiology profession(s) including aspects of professional practice, areas of specialization, professional issues and trends, and career paths and opportunities. The course will consist of assignments, lectures and interactive discussions led by faculty and visiting professionals designed to expand students' understanding of the profession(s) and to assist in educational and career planning and discernment.

Food selection for optimal nutrition during pregnancy and lactation and for infant and child development through preadolescence. Cultural, social, and psychological aspects of food selection and dietary patterns, as they relate to mental and physical development.

This course provides an introductory supervised practice in community nutrition. Experiences include public and private agencies/organizations that provide food and nutrition services, public policy and program development, and nutrition education for various socioeconomic groups. Full-time community nutrition experience as a member of the community health delivery team at assigned community and health related agency.