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Unit of Study MATH3003 - Computational Analysis (2025)

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Unit Snapshot

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Unit description

Introduces students to the application of computational and numerical methods for simulation, optimisation, linear and non-linear equations, differentiation and integration. Develops skills in applying numerical methods for solving application problems, utilising software such as Microsoft Excel and Visual Basic for Applications programming.

Unit content

Module 1:  Mathematical programming

Module 2:  Further programming techniques
 
Module 3:  Numerical integration and differentiation
 
Module 4:  Introduction to probability
 
Module 5:  Tests of the mean
 
Module 6:  Regression

 

Availabilities

Not currently available in 2025

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:

utilise Excel and Visual Basic for Applications to implement computational and numerical methods for solving problems

formulate and solve mathematical programming problems

implement numerical algorithms for computing solutions of problems such as non-linear and linear equations, numerical differentiation and numerical integration

demonstrate proficiency in the application of simulations, such as Monte Carlo simulations.