Binghamton University MATH
The course will provide a broad overview of fundamental data science procedures and focus on their understanding and application with advanced topics in bioinformatics. Building on a prior understanding of R, the student will learn data preprocessing and visualization, and basics of statistical inference and modelling, and will gain an understanding of state-of-the-art statistical learning techniques and high-dimensional inference. The course will focus on conceptual understanding and applicability of statistical techniques and their implementation in R, interpretations of the results, drawing conclusions, and making inferences using `-omicsβ datasets as case studies. Some topics on efficient computing will also be explored. Prerequisites: MATH 147, MATH 148 or equivalent: introductory statistics; MATH 329 or equivalent: introduction to scientific programming. Offered regularly.
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