Concentrates on existing systems and techniques for decision support in health and directions for the future. Computing systems based on neural networks and learning models, along with implementations and applications of such systems. Introduction to expert system shells.
Students create prototype expert systems under close supervision by faculty experts.
Theoretical and practical issues in the modeling and management of uncertainty. Topics include probabilistic uncertainty, belief theory and fuzzy set theory. Concepts, theories and models pertaining to neural nets, pattern recognition, learning, systems and programmed problem solving. Computer networking, protocols and standards, routing algorithms and congestion avoidance. Concepts and goals of computer networking, structure of computer networks, OSI model and layers, network control, analysis, design data communication techniques.