Computing, Numerical Methods and Data Science in Engineering
University of Notre Dame · IN · AME30251
Computing, Numerical Methods and Data Science in Engineering is a subject at University of Notre Dame, IN. It covers topics like computational-mathematics, computing, engineering-mathematics, statistical-computing. It is part of 5 degrees. The information below is compiled from public course material — approximate, not official.
University of Notre Dame
AME30251
3.00
Topics covered
Degrees that include Computing, Numerical Methods and Data Science in Engineering
- Applied & Computational Mathematics & Statistics (BS)
- Chemistry/Computing (BS)
- Dual Degree Program with the College of Arts and Letters and the College of Engineering
- Dual Degree Program with the College of Engineering and the College of Science
- Science - Computing (BS)
Frequently asked questions
What is Computing, Numerical Methods and Data Science in Engineering about?
Computing, Numerical Methods and Data Science in Engineering covers topics like computational-mathematics, computing, engineering-mathematics, statistical-computing.
Which degrees include Computing, Numerical Methods and Data Science in Engineering?
Computing, Numerical Methods and Data Science in Engineering is part of 5 degrees, including Applied & Computational Mathematics & Statistics (BS), Chemistry/Computing (BS), Dual Degree Program with the College of Arts and Letters and the College of Engineering, Dual Degree Program with the College of Engineering and the College of Science, Science - Computing (BS).
How many credit points is Computing, Numerical Methods and Data Science in Engineering?
Computing, Numerical Methods and Data Science in Engineering at University of Notre Dame is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Computing, Numerical Methods and Data Science in Engineering taught?
Computing, Numerical Methods and Data Science in Engineering is taught at University of Notre Dame, IN.
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Sources: University of Notre Dame public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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