Courses of Study 2018-2019 
    
    Jul 20, 2024  
Courses of Study 2018-2019 [ARCHIVED CATALOG]

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BME 5310 - Machine Learning with Biomedical Data


     
Fall. 3 credits. Letter grades only.

Prerequisite: Linear Algebra (MATH 2940  or equivalent), and Probabilistic Modeling and/or Statistical Analysis (such as BTRY 3010  or CEE 3040 ). Recommended: CS 1110  or CS 1112  or equivalent; Permission required if prerequisites not met.

M. Sabuncu.

Course provides a theoretical foundation for advanced machine learning methods applicable to the analysis of large-scale biomedical data. These applications often have two distinct goals: (1) computation of predictions, and (2) understanding underlying biological mechanisms. A range of examples will be included that cover various data modalities (e.g., DNA sequence data, electronic health record data, images) and different goals. There will be a class project that will involve identifying a data-set, selection of appropriate machine learning problem, writing code and conducting analyses, an oral presentation of results and a written report.



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