Prerequisites:
This course presupposes previous exposure to mathematics and statistics at the level of the BGT program prerequisites. In particular, students are expected to be prepared in statistics at the level of STA-104 and STA-114 and in mathematics through the equivalent of MATH-103 and MATH-104. Students uncertain about preparation are encouraged to contact the instructor.

Goals:
This course covers fundamental statistical theory and tools emphasizing applications arising in computational molecular biology and functional genomics. This course is also intended to adequately prepare students for advanced courses on statistical genetics (BGT 201), biological sequence analysis (BGT 203), gene expression analysis (BGT 208), and computational structural biology (BGT 207).

Grading
Course grades will be based on regular (weekly to biweekly) assignments and an end-of-semester project. Computing exercises will involve programming in R or (S-Plus).