Engineering Mathematics 2

This course covers fundamental numerical approaches, probabilistic and statistical inference for engineering applications.

As part of this course, students will also learn to use software to develop algorithms for numerical recipes (Matlab) and analyse data (Minitab).

Basic numerical approaches are considered in this course for solving nonlinear equations and ordinary differential equations, interpolation, curve fitting, finite difference, and quadrature. Under statistics, data sampling and evaluation methods, as well as common probability models shall be covered.

Topics of statistical inference include sampling distribution, confidence interval, measurement uncertainty and hypothesis testing.

This course is mainly conducted through lectures and tutorials. Tutorial sessions may be conducted in a computer laboratory to facilitate numerical computations.

There will be two quizzes and one group assignment as part of continuous assessment. At the end of the trimester, students will need to complete a final examination.