Course level

Postgraduate Coursework

Faculty

Science

School

Mathematics & Physics School

Units

2

Duration

One Semester

Delivery mode

Internal

Class contact

2 Lecture hours, 1 Tutorial hour, 1 Practical or Laboratory hour

Incompatible

MATH1050, MATH1061, MATH1051, MATH1052, MATH7861

Prerequisite

Qld Year 12 Maths B (or equivalent)

Assessment methods

Assignments and Examinations

Course coordinator

Dr Sam Hambleton

Current course offerings

Course offerings Location Mode Course Profile
Semester 1, 2018 St Lucia Internal Course Profile

Please Note: Course profiles marked as not available may still be in development.

Course description

This course will provide students with the mathematical foundations needed for analytical and statistical data science. The course will introduce logic, proofs and the elementary properties of graphs which are used for modelling networks. Limits, sequences and series which form the basis of calculus are introduced. Derivatives, maxima/minima, integration and Taylor series. Extension to multi-dimensional problems. Partial derivatives, maxima and minima. Data fitting using least squares. Numerical integration and solution of non-linear equations. Linear Algebra. Vectors, linear independence, scalar product. Matrices, simultaneous equations, determinants, vector product, eigenvalues, eigenvectors, applications. Use of mathematical software for linear algebra applications.

Archived offerings

Course offerings Location Mode Course Profile
Semester 1, 2017 St Lucia Internal Course Profile