MATH2859 is a Mathematics Level II course; it is available only to Engineering students for whom it is specifically required as part of their program. See the course overview below.

Units of credit: 3

Prerequisites: MATH1231 or MATH1241 (or, in Program 3648 or 3651 or 3652 or 3653 or 3749, MATH1131 or MATH1141).

Exclusions: MATH1041, MATH2841, MATH2801, MATH2901, BIOS2041, BEES2041.

Cycle of offering: Semester 2.

Graduate attributes: the course will enhance your research, inquiry and analytical thinking abilities.

More information: in the outline

contain information about course objectives, assessment, course materials and the syllabus.

The Online Handbook entry contains up-to-date timetabling information.

If you are currently enrolled in MATH2859, you can log into the My eLearning Vista instance of this course.

This course provides an introduction to probability theory, one- and two-dimensional random variables and statistical inference, and shows how these concepts are applied in decision-making processes. The topics covered in this course include moment estimates of random variables, properties of sums of random variables, confidence intervals, hypothesis testing and linear regression.
The course is data-driven and computing with Matlab will play a major role in applying the theoretical concepts: by analysing real data and by interpreting the results of the analysis.