ECE492B Course Syllabus 1. Department: Electrical Engineering Title: Special Topics-Biomedical Applications of Electrical and Computer Engineering Number: ECE492B Credit Hours: 3 Elective 2. Course Description: This courses studies selected biomedical applications of electrical and computer engineering. Topics include nerve and cell structure, the linear axon equation, non-linear pulse propagation, cell membrane resting potential, membrane conductance, electrostatic phenomena, and applications of optimization. Computer simulations and exercises/projects are required. 3. Prerequisite(s): ECE 302 , ECE 303 4. Textbook(s) and/or other required material: Course Notes 5. Course objectives. By the end of this course, the student should be able to: (use demonstrative verbs) Apply Kirchoff's laws to determine axon models. Determine voltage and current properties of linear axons. Design algorithms and software for simulation of linear and non-linear axon propagation. Determine cell resting potentials given ion concentrations. Determine electrostatic space potential given charge distributions. Design optimization algorithms to solve selected problems. 6. Topics covered (number of lectures per topic, based on 45 50-minute lectures per semester): Linear axon model: equations, solutions, and properties (8 lectures) Non-linear membrane conductance and non-linear axon propagation (7 lectures) Numerical solution of ordinary and partial differential equations (6 lectures) Cellular resting potential and equilibrium properties (6 lectures) Electrostatic phenomena and applications (7 lectures) Optimization theory, algorithms, and applications (6 lectures) 7. Class/laboratory schedule (sessions per week and duration of each session): Two 75 minute lectures 8. Contribution of this course to the professional component (ABET Criterion 4) General comments: none Course content related to professional component Professional component Basic math and science, some experimental (1 yr. required). Engineering science and design (1.5 yrs. required) 3 semester hours General education requirement 9. Relationship of this course to program learning outcomes: Text description (optional): None Learning Level of Course content related to outcome Outcome Instruction implementation/assessment Outcome A Major Students use fundamental mathematics to solve selected problems from biomedical engineering. Outcome C Intermediate Students design algorithms and software to model biomedical phenomena. Outcome E Major Axon properties are specified at a fundamental physics level. Students must translate these properties into working simulation programs. Outcome F Intermediate An emphasis is placed on the validity of mathematical models. A simulation or result strongly depends on the accuracy of its assumptions. Outcome G Intermediate Students must construct, complete, and report the results of their simulations. A component of their grade depends on the effectiveness of their communication. Outcome I Basic Emphasis is placed on a continual incorporation of new results from experimental biomedical engineering. Models and simulations can be improved as more knowledge is gained. 10. Date of preparation and person(s) who prepared this description: S. T. Alexander January 31, 2004