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MECH 302 Mathematical and Computational Tools for Mechanical Engineers III Units: 3.50
This course will introduce advanced numerical and statistical methods for the solution of engineering problems, to complement those discussed in MECH 202 and 203. The topics of the course will be presented through problems,
models and applications relevant to the Mechanical Engineering Program.
On completion of the course the students will be able to: perform spectral analysis, use Laplace transforms, perform multi-variate statistical analysis and apply machine learning methods.
K3.5 (Lec: Yes, Lab: No, Tut: Yes)
models and applications relevant to the Mechanical Engineering Program.
On completion of the course the students will be able to: perform spectral analysis, use Laplace transforms, perform multi-variate statistical analysis and apply machine learning methods.
K3.5 (Lec: Yes, Lab: No, Tut: Yes)
Offering Term: F
CEAB Units:
Mathematics 31
Natural Sciences 0
Complementary Studies 0
Engineering Science 11
Engineering Design 0
Offering Faculty: Smith Engineering
Course Learning Outcomes:
- Apply spectral analysis of signals to engineering problems.
- Apply Laplace transforms to analyze engineering systems such as circuits and control systems.
- Apply multivariate regression and variance analysis to data.
- Apply machine learning methods for multi-variate regression or classification.