For Spring 2024 - Foundations of Biological Data Science. This course establishes a foundation in applied statistics and data science in biology for those interested in pursuing data-driven research. Students will develop fundamental and transferable computational and statistical skills for critically thinking about and using data in biology. The course will develop the foundations of and illustrate major methods applied in modern biological problems and data sets. Data science topics may include data wrangling, exploration and visualization, statistical programming, likelihood based inference, bootstrap, regularization, statistical modeling, principal components analysis, multiple hypothesis testing, network modeling, and causality. The course will explore application of these methods in the context of gene regulatory networks, genotype to phenotype mapping, chromatin structure analysis, single-cell biology, and quantitative biological imaging. The python programming language is extensively used to explore methods and analyze data.

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.