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Course Description

The programming language R is best known as the dominant programming language for statistics, particularly within the biological sciences. But much more broadly than just stats, it’s a powerful tool for scientific computing. In this course, students will learn the basics of programming in R, and use this foundation as a jumping off point to explore theoretical and simulation-based approaches in biology. Specific topics will be informed and led by students’ interests. Potential topics include: the relationships between models, hypotheses, experiments, and data; statistical and mechanistic models, data simulation for validation of statistical models, stochastic simulations, and more.

This is an in-person course that follows the published schedule of course meetings and requires attendance at all sessions. Tufts courses are designed to provide high-quality and interactive courses to Tufts and visiting students. For more information about course policies and expectations, please visit 

Basic Enrollment Requirements: None.

Refund Policy: The refund policy for Courses at Tufts offerings is dependent on the offering type: whether the offering is a course, workshop or short course, or in-demand offering. Please refer to the section details to confirm the type of offering as well as any exceptions to the standard refund policy. The refund policies for each offering type are viewable here:

Remission Eligible: Yes; first day of term; all university policies apply.

Affiliated With:

School of Arts & Sciences