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BMI 5353 Biomedical Data Analysis

3 semester credit hours
Lecture contact hours: 2; Lab contact hours: 3
Web-based and classroom instruction
Prerequisite: BMI 5351 or BMI 5352 or consent of instructor
Lab Fee: $30

This course provides the student the opportunity to know when and how to use state-of-the-art data analysis computer software to perform each of a comprehensive set of the most important and frequently used data analysis techniques for research and evaluation in biomedical informatics. The student will choose the most appropriate data analysis tools to perform qualitative, descriptive, inferential, parametric, non?parametric, multifactor and multivariate techniques, as well as graphical data modeling analytic techniques using the computer. Qualitative data analysis and related software will demonstrate alternate methods for data collection and reduction.

Course Learning Objectives: After taking BMI 5353, students will:

  • Describe the complete data analysis pipeline, from initial need to final presentation of results
  • Assess the data needs of a proposed analysis project
  • Prepare raw data to be ready for data analysis, including accessing data, structuring it, and handling data quality issues
  • Utilize several data analysis methods to a wide variety of biomedical datasets
  • Evaluate the results of a data analysis within the context of the needs assessment
  • Construct an effective argument to put the results of the data analysis into practice