FW4001: Biometry

4 Credits

This course covers the basic foundations of statistical methods. In contrast to traditional methods of teaching statistics based on analytical formulas and hand-calculations, we will initially emphasize simulation-based methods (randomization tests, bootstrapping) for analyzing data. Students will learn how to implement common statistical methods (e.g., one and two sample tests, interval estimation techniques, linear regression) in the R programming language, and gain experience analyzing real data from a variety of fields, with particular emphasis on biological examples and applications.

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  • Samyok Nepal

    Website/Infrastructure Lead

  • Kanishk Kacholia

    Backend/Data Lead

  • Joey McIndoo

    Feature Engineering

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