Numerical Methods for Data Science
Cornell University · NY · CS6241-
Numerical Methods for Data Science is a subject at Cornell University, NY. It covers topics like computational-mathematics, data-science, numeracy, statistical-computing. It is part of 2 degrees. The information below is compiled from public course material — approximate, not official.
Cornell University
CS6241-
3.00
Topics covered
Degrees that include Numerical Methods for Data Science
Frequently asked questions
What is Numerical Methods for Data Science about?
Numerical Methods for Data Science covers topics like computational-mathematics, data-science, numeracy, statistical-computing.
Which degrees include Numerical Methods for Data Science?
Numerical Methods for Data Science is part of 2 degrees, including Applied Mathematics (PhD), Operations Research & Information Engineering (ORIE-MEng).
How many credit points is Numerical Methods for Data Science?
Numerical Methods for Data Science at Cornell University is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Numerical Methods for Data Science taught?
Numerical Methods for Data Science is taught at Cornell University, NY.
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Sources: Cornell University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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