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ME 4484 Smart Systems

Description:

Smart engineering products and decision aids (e.g., computational agents) abound in society. This course will equip the students with essential tools frequently used to impart intelligence to a variety of systems. Specifically, after reviewing examples of smart systems found in consumer/industrial products and software agents, the course will provide introduction to fundamentals of optimization theory, signal processing, system identification, estimation and control theory, condition monitoring, fault diagnostic, neuro-systems, decision systems (hierarchical, decentralized), distributed computing, etc. Applications of these tools in the design and development of smart systems will be illustrated. The course will give a balanced introduction to the theory, simulation, hardware, and software elements of smart systems. Students are expected to gain expertise in at least one aspect of smart systems. Simulation and hardware projects will enable the students to develop proto-type smart products.

Credits: 4:0:0:4
Pre-Requisite: MA 2132 Ordinary Differential Equations, PH 2004 Introductory Physics II
Co-Requisite: none
Notes: none