Coding and Information Theory for Data Science
Washington University in St. Louis · MO · CSE5313
Coding and Information Theory for Data Science is a subject at Washington University in St. Louis, MO. It covers topics like coding, computational-mathematics, data-science, statistical-computing. It is part of 4 degrees. The information below is compiled from public course material — approximate, not official.
Washington University in St. Louis
CSE5313
3.00
Topics covered
Degrees that include Coding and Information Theory for Data Science
- Computational & Data Sciences, PhD (CDS)
- Computer Science + Mathematics (CSE), BS
- Computer Science + Mathematics (CSE), Second Major
- Mathematics and Computer Science Major
Frequently asked questions
What is Coding and Information Theory for Data Science about?
Coding and Information Theory for Data Science covers topics like coding, computational-mathematics, data-science, statistical-computing.
Which degrees include Coding and Information Theory for Data Science?
Coding and Information Theory for Data Science is part of 4 degrees, including Computational & Data Sciences, PhD (CDS), Computer Science + Mathematics (CSE), BS, Computer Science + Mathematics (CSE), Second Major, Mathematics and Computer Science Major.
How many credit points is Coding and Information Theory for Data Science?
Coding and Information Theory for Data Science at Washington University in St. Louis is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Coding and Information Theory for Data Science taught?
Coding and Information Theory for Data Science is taught at Washington University in St. Louis, MO.
Studying Coding and Information Theory for Data Science?
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Sources: Washington University in St. Louis public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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