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E E 371D E E 371D. Introduction to Neural Networks. 3 Hours.

Characteristics of artificial neural networks, feedforward networks, and recurrent networks; learning algorithms; self-organization; biological links; data mining and other applications. Three lecture hours a week for one semester. Prerequisite: The following with a grade of at least C- in each: Mathematics 340L, and Biomedical Engineering 343 or Electrical Engineering 313, and Biomedical Engineering 335 or Electrical Engineering 351K or Mathematics 362K.

M E 371D M E 371D. Medical Device Design and Manufacturing. 3 Hours.

Explores how to solve medical device design problems using systematic design thinking and practices. Interpret clinical needs and define an open engineering medical device design problem, including formulating engineering requirements/specifications to address a marketable need, generate concepts in a way that promotes both creativity and usefulness, make well-informed, well-justified design decisions in the early and later stages of design, design and analyze experiments, follow statistical best practices in Design of Experiments(DoE), embody solutions with "Design for X" considerations, and communicate intermediate and final designs clearly and effectively in written and oral formats. Three lecture hours a week for one semester. Only one of the following may be counted: Biomedical Engineering 363E, 377T (Topic: Medical Device Design and Manufacturing), Mechanical Engineering 371D, 379M (Topic: Medical Device Design and Manu). Prerequisite: Upper-division standing.