Subject description
MATH283 is a subject for Bachelor of Engineering (Honours) students. The subject consists of two parts, Advanced Engineering Mathematics and Statistics. Each part is worth 50% of the final mark. Advanced Engineering Mathematics deals with new techniques, including partial differentiation, multiple integration, introduction to special functions (the gamma, beta and … For more content click the Read More button below.
Enrolment rules
Pre-Requisite
Equivalence
MATH291 - Differential Equations
STAT291 - Engineering Statistics
STAT231 - Probability and Random Variables
MATH202 - Differential Equations: Analysis and Applications
STAT101 - Introduction to Statistics
MTH8283 - Advanced Engineering Mathematics and Statistics
Tutorial enrolment
Students can enrol online via the Tutorial Enrolment link in SOLS
Delivery
To view information specific to your campus, click on Select availability in the top right of screen and choose from the campus, delivery mode and session options.
Engagement hours
Contact Hours:1 x 2 hr lecture, 1 x 1 hr lecture, 1 hr tutorial, 1 hr computer lab
Learning outcomes
On successful completion of this subject, students will be able to:
1.
Apply partial differentiation and differentials to evaluate rates of change, approximate measurement errors and probability density functions.
2.
Apply single and double integration techniques to evaluate areas and volumes, solve spatial engineering problems, and evaluate probabilities and expected values of random variables.
3.
Recognize and manipulate special functions including gamma and beta functions and the error and complementary error functions, and apply these functions to help solve problems in Engineering applications.
4.
Apply Laplace Transforms and Fourier Series to solve differential equations and decompose signals into components of different frequencies.
5.
Conduct hypothesis tests and find confidence intervals involving means or variances of one or more random samples.
6.
Develop MATLAB computing skills to visualize problems graphically, perform symbolic computations and evaluate numerical solutions for engineering problems, both deterministic and statistical.
Work integrated learning
Foundational WIL:This subject contains elements of "Foundational WIL". Students in this subject will observe, explore or reflect on possible career pathways or a work-related aspect of their discipline.
Textbook information
No prescribed textbooks for this subject.