Algorithms in Biomedical Informatics

Catalog description

To develop an understanding of various algorithm design techniques, such as exhaustive search, greedy search, divide-and conquer, dynamic programming, graph-based algorithms, and randomized algorithms, as well as various computational problems in biomedical informatics, such as sequence alignment, genome arrangement, motif finding, and peptide identifications. These problems are used as examples to demonstrate how to solve biomedical problems by mathematical modeling and algorithm design. Designation: This course is for graduate students and advanced undergraduates.