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Explores neurobiological signal processing, covering spike modeling, signal classification, and data characterization using principal component analysis.
Covers the organization of the course, grading policy, bioelectricity, CMOS ICs, societal shifts, common medical measurands, and bioimplantable systems.
Explores the evolution and advantages of micromachined ultrasonic transducers, focusing on PMUTs and their applications in biometric identity verification and high-resolution imaging.
Introduces mathematical tools for communication systems and data science, focusing on stochastic processes and preparing students for advanced courses.