ENGSCI 314

Mathematical Modelling 3ES

Summary


Semester

Semester 1, 2019

Staff

  • None listed

Contents


Calendar notes

Mathematical modelling using ordinary and partial differential equations. Topics include: probability, conditional probability, random variables as models of a population, common distribution models, the Poisson process, applications to reliability, exploratory data analysis, confidence intervals, tests of hypothesis, t-tests, sample tests and intervals, paired comparisons. Introduction to one-way ANOVA. Linear and polynomial regression, regression diagnostics.
Prerequisite: ENGSCI 211Restriction: ENGSCI 311, 313, 321

Outcome mapping


Intended learning outcomes
Related graduate attributes
Related assessments

* Ability to write the characteristic equation for an ODE and identify the correct form for particular solutions.

ENGA01: engineering knowledge (0)
ENGK02: mathematical modelling (0)
ENGK03: abstraction and formulation (0)

No related assessments

• Ability to identify key simplifying assumptions and interpret them from a modeling perspective; • Ability to substitute a solution that will enable for the separation of variables. • Understanding that the choice of separation constant influences the solution type. • Understanding that the solution for wave related problems contains useful design information such as natural frequency and mode shapes. • Understanding that an equation can have an infinite number of solutions .

ENGA01: engineering knowledge (0)
ENGA02: problem analysis (0)
ENGK02: mathematical modelling (0)
ENGK03: abstraction and formulation (0)
ENGK04: specialist knowledge (0)
ENGP03: depth of analysis required (0)
ENGP04: familiarity of issues (0)

No related assessments

• Ability to write down mathematical expressions for different boundary conditions. • Ability to dissect a problem so that it can be solved by combining solutions, such as the steady state and the transient solutions to a heat equation.

ENGA01: engineering knowledge (0)
ENGA02: problem analysis (0)
ENGP03: depth of analysis required (0)
ENGP04: familiarity of issues (0)

No related assessments

Assessment


Coursework

No description given

Exam rules

No description given

Inclusive learning

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Other assessment rules

No description given

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