Generative Modeling and Data Science for Biomedicine. (3-0) 3 Credit Hours

Catalog description

Prerequisite: Major in Biomedical Engineering and a grade of “C-” or better in BME 1002 and CS 2073 , and completion of or concurrent enrollment in BME 3373 ; or consent from the instructor. This course aims to provide students with the ability to use computational methods to understand and analyze biological data. Topics include a survey of high-throughput biomedical data analysis methods, modeling of signaling pathways, image analysis, and artificial intelligence methods. This course will introduce new methods in machine learning, bioinformatics, and artificial intelligence that support generative model building to design experiments and predict solutions to biomedical engineering problems. (Formerly titled: "Biomedical Data Science.") This course has Differential Tuition.