Course description

Topics in discrete mathematics, real analysis, linear algebra, and integral calculus, chosen for their relevance to computer science, probability, statistics, and data science. Foundations of probability, logic, vector spaces, infinite series, and integration. Application to statistical problems. Includes an introduction to statistical and graphical tools in the R programming language.


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