Introduction to Probability and Statistics for Computer Science
University of California, Irvine · CA · STATS67
Introduction to Probability and Statistics for Computer Science is a subject at University of California, Irvine, CA. It covers topics like applied-statistics, computational-mathematics, statistical-computing, statistical-learning. It is part of 10 degrees. The information below is compiled from public course material — approximate, not official.
University of California, Irvine
STATS67
3.00
Topics covered
Degrees that include Introduction to Probability and Statistics for Computer Science
- Aerospace Engineering, B.S.
- Business Information Management, B.S.
- Computer Science and Engineering, B.S.
- Computer Science, B.S.
- Data Science, B.S.
- Game Design and Interactive Media, B.S.
- Informatics, B.S.
- Mechanical Engineering, B.S.
- Physics, B.S.
- Software Engineering, B.S.
Frequently asked questions
What is Introduction to Probability and Statistics for Computer Science about?
Introduction to Probability and Statistics for Computer Science covers topics like applied-statistics, computational-mathematics, statistical-computing, statistical-learning.
Which degrees include Introduction to Probability and Statistics for Computer Science?
Introduction to Probability and Statistics for Computer Science is part of 10 degrees, including Aerospace Engineering, B.S., Business Information Management, B.S., Computer Science and Engineering, B.S., Computer Science, B.S., Data Science, B.S..
How many credit points is Introduction to Probability and Statistics for Computer Science?
Introduction to Probability and Statistics for Computer Science at University of California, Irvine is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Introduction to Probability and Statistics for Computer Science taught?
Introduction to Probability and Statistics for Computer Science is taught at University of California, Irvine, CA.
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Sources: University of California, Irvine public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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