MATH2901 is a Mathematics Level II course. See the course overview below.
Units of credit: 6
Prerequisites: MATH1231 or MATH1241 or MATH1251 or DPST1014 (or, in program 3653, MATH1131 or MATH1141).
Exclusions: Students who have studied another introductory statistics course that has a theoretical focus: MATH2089, MATH2099, MATH2859, MATH2801, BEES2041, ECON3209, CVEN2002
Cycle of offering: Term 2
Graduate attributes: The course will enhance your research, inquiry and analytical thinking abilities.
More information: This recent course handout (pdf) contains information about course objectives, assessment, course materials and the syllabus.
The Online Handbook entry contains up-to-date timetabling information.
MATH2901 (alternatively MATH2801) is a compulsory course for Statistics majors.
If you are currently enrolled in MATH2901, you can log into UNSW Moodle for this course.
This course is an introduction to the theoretical underpinnings of statistics, essential knowledge for anyone considering a career in quantitative modelling or data analysis. Students will learn probability and distribution theory on which modern statistical practice is founded, and how to apply it to answer important practical questions raised in medical research, ecology, the media and more.
As for MATH2801 but in greater depth. This course provides an introduction to the theoretical underpinning of statistics; it covers fundamental results from probability and distribution theory and shows how to apply the theory to the analysis of data. Topics include: Random variables, univariate and bivariate distributions. Transformations of random variables. Convergence of random variables, the sampling distribution and the Central Limit Theorem. Estimation and inference including moment and likelihood estimation, interval estimation, and hypothesis testing.