BME 5433 - Biostats Signal Process

Institution:

University of Utah

Subject:

Biomedical Engineering

Description:

This course will cover advanced topics in statistical processing of biological signals, including topics typically covered in graduate courses on statistical analysis and stochastic processes, but centered around biomedical engineering applications. Analyses will focus on signal decomposition (e.g., in frequency spaces), extracting information from noisy signals, and modern statistics. Specific topics will include time-series analyses, discrete and continuous stochastic processes, spectral estimation and time-frequency analysis, general linear models, Bayesian estimation, and bootstrapping. Prerequisites: Calculus, Signals & Systems, and experience in Mathlab or a similar language.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.utah.edu

Phone Number:

(801) 581-7200

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

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