Computing Skills for Biomedical Sciences

2 credits

This course will prepare students for advanced graduate-level classes that require practical programming and data analysis skills through active learning methods. The main focus of this course is to familiarize students with the R programming language and fundamental data analysis skills. This includes data wrangling, visualization, dimensionality reduction and clustering. Additionally, students will learn about good coding practices, such as version control with Git and using high-performance computing environments, and apply their skills in the context of biomedical and molecular datasets.  By the end of the course, students will be able to design and implement programs for reproducible biomedical data analysis, and apply basic statistical, algorithmic, and visual approaches for data interpretation. Students are expected to already be familiar with basic R syntax, data structures, and control flow prior to the course.

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