HI 5370 Methods in Computational Biomedicine
This course is a comprehensive introduction to the methods and tools in computational biomedicine. The course covers the topics including basic statistics (probability, correlation and regression, statistical inference), linear algebra (vectors and matrices, eigenvectors and eigenvalues, determinants), multivariate statistics and information theory. It emphasizes the conceptual understanding and ability to apply these methods and tools to solve biomedical problems.
Access to the Internet, personal computer, consent of instructor.
- Provide students some conceptual background and sufficient working knowledge of mathematics, statistics and its relevant computational software tools (e.g., matlab) necessary to master CBM-based graduate courses.
- Gain hands-on experience through a term project.
- Prepare a poster presentation and a web-ready final report for the term project.