Numerical Methods and Statistics - MATH2089

   
   
   
 
Campus: Kensington Campus
 
 
Career: Undergraduate
 
 
Units of Credit: 6
 
 
EFTSL: 0.12500 (more info)
 
 
Indicative Contact Hours per Week: 6
 
 
Enrolment Requirements:
 
 
Prerequisite: MATH1231 or MATH1241 or MATH1251. Exclusions: CVEN2002, CVEN2025, CVEN2702,ECON3209, MATH2049, MATH2829, MATH2839, MATH2899, and MINE2700
 
 
Excluded: BEES2041, BIOS2041, MATH2099, MATH2801, MATH2841, MATH2859, MATH2901
 
 
CSS Contribution Charge:Band 5 (more info)
 
   
 
Further Information: See Class Timetable
 
 

Description


Numerical Methods: Numerical differentiation, integration, interpolation and curve fitting (regression analysis). Solution of linear and non-linear algebraic equations. Matrix operations, and applications to solution of systems of linear equations, elimination and tridiagonal matrix algorithms. Introduction to numerical solution of ordinary and partial differential equations.
Statistics: Exploratory data analysis. Probability and distribution theory including binomial, Poisson and normal. Large sample theory including the Central Limit Theorem. Statistical inference including estimation, confidence intervals and hypothesis testing. One-sample and two-sample tests. Linear regression. Analysis of variance. Design and analysis of experiments. Applications will be drawn from mechanical, mining, photovoltaic and chemical engineering and surveying. Matlab will be used in this course.