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Introduction to Quantitative Modeling in Biology

Program(s): Summer College, Undergraduate Courses

*Taught Online*  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, hypothesis testing and Bayesian thinking, 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.

Remote or Residential

✓ Remote Course


Course Considerations

Completion of Calculus AB is a required prerequisite; no prior programming experience necessary.

Course Overview

Current Grade / Education Level

11th Grade
12th Grade
Undergrad / Grad


Summer College
Undergraduate Courses

Start Date

July 05

End Date

July 22

Class Details

Primary Instructor

Dmitry Kondrashov

Academic Interest

Biological Sciences
Math and Computer Science

Class Specifics

Course Code

BIOS 20151 91

Class Day(s)

Mon Tues Wed Thurs Fri

Class Duration (CST)


4:30 P.M.


Session II

Course Length

3 weeks