The goal of this course is to provide students with the mathematical and
practical background required in the field of data analytics. Starting
with an introduction to probability and statistics, the R tool is
introduced for statistical computing and graphics. Different types of
data are investigated along with data summarization techniques and
plotting. Data populations using discrete, continuous, and multivariate
distributions are explored. Errors during measurements and computations
are analyzed in the course. Confidence intervals and hypothesis
testing topics are also examined. The concepts covered in the course
are demonstrated using R. Laboratory Course. Prereq: MET CS 546 or
equivalent knowledge, or instructor's consent
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