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.
Units of credit: 3
Prerequisites: MATH1231 or MATH1241 or MATH1251 or DPST1014 (or, in Program 3648 or 3651 or 3652 or 3653 or 3749, MATH1131 or MATH1141).
Exclusions: MATH2801, MATH2901, MATH2089, MATH2099, BEES2041, CVEN2002, ECON3209
Cycle of offering: Term 2
Graduate attributes: The course will enhance your research, inquiry and analytical thinking abilities.
This outline contains 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 UNSW Moodle for this course.
Sample spaces, probability, random variables and probability distributions; examples of discrete and continuous distributions; Central Limit Theorem; statistical inference, confidence intervals and hypothesis testing; bivariate normal distribution, optimal mean square estimation, introduction to the multivariate normal distribution; linear regression and least squares estimation; inference in the linear model; on-line and off-line estimation; statistical quality control; models, applications and statistical algorithms relevant to the fields of computer, electrical, software and telecommunications engineering. Note: Available only to students for whom it is specifically required as part of their program.