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BME 577 Data Science and Machine Learning in Medicine
Methods of data science and machine learning in the context of medical decision support. Types of data and models. Data visualization. Descriptive statistics. Analysis of variance. Dimensionality reduction. Clustering. Models and evaluation methods for classification problems and estimation problems. Deep learning. Extensive use of MATLAB.
Typically offered in Spring only
Biomedical Engineering (MS): MedTech Innovation and Entrepreneurship Concentration
* Required MBA courses must be completed at either NC State or UNC-CH. Student must complete either聽 MIE聽576 and聽 MIE聽577 or MBA 848A, MBA 848B, MBA 848C and MBA 848D. ** Other graduate courses in applied or technical fields at NC State or UNC-Chapel Hill as approved in conjunction with the program advisor.
Biomedical Engineering (MS)
/graduate/engineering/biomedical-engineering/biomedical-engineering-ms/
...to Probability or MATH 577 Linear Algebra 4...be approved by the BME Graduate Curriculum Committee...
Biomedical Engineering (MS): Non-Thesis Concentration
/graduate/engineering/biomedical-engineering/biomedical-engineering-ms-non-thesis-concentration/
...to Probability or MATH 577 Linear Algebra 4...be approved by the BME Graduate Curriculum Committee...