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Class number:
2677
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Title: Neural Engineering |
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Department: Engineering |
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Career: Undergraduate |
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Component: Seminar |
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Session: Regular |
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Instructor's Permission Required: No |
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Grading Basis: Regular |
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Units: 1.00 |
| Enrollment limited to 19 |
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Current enrollment: 18 |
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Available seats: 1 |
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Start date: Tuesday, January 21, 2025 |
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End date: Friday, May 9, 2025 |
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Mode of Instruction: In Person |
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Schedule: TR: 8:00AM-9:15AM, MECC - 270 |
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Instructor(s): Blaise, J. Harry |
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Prerequisite(s): Open to all junior and senior life science and physical science majors. |
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Distribution Requirement: Meets Natural Science Requirement |
Course Description:
This introductory course uses an integrative and cross-disciplinary approach to survey basic principles and modern theories and methods in several important areas of neural engineering. Course topics include: neural prosthetics, neural stimulation, neurophysiology, neural signal detection, and analysis and computational neural networks. The practicalities of the emerging technology of brain-computer interface as well as other research topics in neural engineering will be discussed. Students will also have the opportunity to perform hands-on computer simulation and modeling of neural circuits and systems. |
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Course Syllabus:
view syllabus
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