(web-based and classroom instruction)
3 semester credit hours/meets part of the advanced informatics competencies
Prerequisites: BMI 5007 or Consent of instructor
This course will expose students to the technologies used to solve 'Big Data' problems in biomedicine and healthcare. Through hands-on exercises, students will learn how to distill actionable information from very large data leveraging multiple machines. Students will gain exposure to the data science toolboxes for processing data sets with distributed algorithms, apply machine learning models in this context, and evaluate and report on the analysis.
Students will be working with modern data science tools, allowing them to: