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Organization, Regulations, and Courses 2018-19

QBS 177 Algorithms for Data Science

This course provides an introduction to algorithms used in data science with applications to biomedical and health data science. The goal of this course is to present an overview of many of the approaches used for big data focusing on analytical methods and algorithms. The course assumes that students have some knowledge of R. Students will be provided with 2 large data sets. Lectures on data reduction, classification, and optimization will request students complete homework for these datasets


Jiang Gui and Eugene Demedenko

Cross Listed Courses



19W, 20W:TBD