Although mathematics and biology have traditionally not gotten along, recent advances in molecular biology and medicine have made biological experiments essentially quantitative. This course introduces mathematical ideas that are useful for understanding and analyzing biological data, including data description and fitting, basic Bayesian analysis, Markov models, and differential equations. Students acquire hands-on experience working with data and implementing mathematical models computationally using the R programming language. The two main goals are to acquire computational skills and conceptual familiarity with mathematical models used in biological research.
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Requirements
- Students who apply will be admitted using rolling admission and require a $50 application fee.
- The Summer Session application deadline is May 1, 2018. Students may apply after this deadline, but will be required to pay an additional $100 rush processing fee.
- International students who will require a visa to attend, applications will be considered no later than April 9 in order to allow enough time to complete the visa application process.
- Rolling admissions: courses fill quickly, so submit your complete application as soon as possible.
Additional Details
- Prerequisite: one calculus course.
- Enrollment is limited to 20.
- Enrollment in this course fulfills one of the general requirement for biological sciences majors.
- Orientation for high school students is June 16-17.
Cost & Aid
Complete Cost & Aid Information (including housing and other fees) for high school students can be found here.
Complete Cost & Aid Information (including housing and other fees) for undergraduates can be found here.