Mathematical Methods and Statistics for Engineering
Swinburne University of Technology · VIC · MTH20017
Mathematical Methods and Statistics for Engineering is a subject at Swinburne University of Technology, VIC in School of Science, Computing & Engineering Technologies. It covers topics like applied-mathematics, engineering-mathematics, mathematics. It is part of 3 degrees. The information below is compiled from public course material — approximate, not official.
Swinburne University of Technology
MTH20017
12.50
School of Science, Computing & Engineering Technologies
Topics covered
Degrees that include Mathematical Methods and Statistics for Engineering
- Bachelor of Engineering (Honours), Major in Biomedical Engineering
- Bachelor of Engineering (Honours), Major in Electrical and Electronic Engineering
- Bachelor of Engineering (Honours), Major in Robotics and Mechatronics
Frequently asked questions
What is Mathematical Methods and Statistics for Engineering about?
Mathematical Methods and Statistics for Engineering covers topics like applied-mathematics, engineering-mathematics, mathematics.
Which degrees include Mathematical Methods and Statistics for Engineering?
Mathematical Methods and Statistics for Engineering is part of 3 degrees, including Bachelor of Engineering (Honours), Major in Biomedical Engineering, Bachelor of Engineering (Honours), Major in Electrical and Electronic Engineering, Bachelor of Engineering (Honours), Major in Robotics and Mechatronics.
How many credit points is Mathematical Methods and Statistics for Engineering?
Mathematical Methods and Statistics for Engineering at Swinburne University of Technology is typically around 12.50 credit points. Approximate — confirm with the university.
Where is Mathematical Methods and Statistics for Engineering taught?
Mathematical Methods and Statistics for Engineering is taught at Swinburne University of Technology, VIC.
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Sources: Swinburne University of Technology public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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