Course Detail
Course Components:
Enrollment Information
Enrollment Requirement:
Prerequisites: Full major status in Biomedical Informatics.
This course offers an introduction to an extensive array of methods for mathematical biomedical data analysis with emphasis on three major topics (probability analysis, statistical inference, and the basic concepts of statistical pattern recognition through machine learning), with a clear emphasis on the biomedical field. We will cover basic probability concepts such as recognizing the importance of the analysis of random events in real life applications using probability axioms and rules. This course will present descriptive and inferential data methods for predictive analysis on samples and populations. This introductory course lays the foundation for more advance classes offered at the Biomedical Informatics Department. As an additional component of this class will be the extensive use of the statistical software R, which is one of the most used statistical packages in many disciplines.