This course focuses on methods and approaches in the emerging fields of bioinformatics and molecular evolution. Topics include the quantitative examination of genetic variation; selective and stochastic forces shaping proteins and catalytic RNA; data mining; comparative analysis of whole genome data sets; comparative genomics and bioinformatics; and hypothesis testing in computational biology. We explore the role of bioinformatics and comparative methods in the fields of molecular medicine, drug design, and in systematic, conservation and population biology. Prerequisite: BIO 132, or BIO 230, or BIO 232, or permission of the instructor. Laboratory (BIO 335) is strongly recommended but not required.