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Linear algebra: Vector spaces, linear transformations, change of basis, inner products, orthogonalization, least squares approximation, QR factorization, determinants, eigenvalues and eigenvectors, diagonalization, Jordan forms, matrix exponentials and applications to systems of differential equations, other applications of linear algebra.Probability and statistics: Sample spaces, probability, random variables and probability distributions, standard discrete and continuous distributions, multivariate distributions, Central Limit Theorem, statistical inference, confidence intervals and hypothesis testing, linear regression, inference in the linear model. Matlab will be used in this course.

Study Level


Offering Terms

Term 2



Delivery Mode

Fully on-site

Indicative contact hours


Conditions for Enrolment

Prerequisite: MATH1231 or DPST1014 or MATH1241 or MATH1251 Exclusion: MATH2501 and MATH2601

Course Outline

To access course outline, please visit:


Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)

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