Below is a table providing a list of all units taught within the Mathematics Section at Bundoora. Each Unit Code is linked to the University Unit Database for 2006.
Unit Name |
Unit Code and Link to Univeristy Unit Database for 2006 |
Semester |
STATISTICS FOR LIFE SCIENCES introduces the basic statistical methods that would be very useful, to some extent essential, for students in biological sciences, medical sciences, agricultural sciences, nutrition, and health sciences. (15 credit points)
|
|
1 |
| STATISTICAL SCIENCE provides a working knowledge of exploratory data analysis, hypothesis tests and parameter estimates, as well as a working knowledge of the statistical computer software, Minitab. Students who complete this unit qualify for all second year statistics units. (15 credit points) |
|
1 |
| STATISTICS FOR LIFE SCIENCES introduces the basic statistical methods that would be very useful, to some extent essential, for students in biological sciences, medical sciences, agricultural sciences, nutrition, and health sciences. (15 credit points) |
|
2 |
| STATISTICS FOR PSYCHOLOGY AND OCCUPATIONAL THERAPY introduces students undertaking the major stream of psychology to a range of statistical methods used in contemporary psychological research. (15 credit points) STATISTICS FOR OCCUPATIONAL THERAPY introduces students undertaking the major stream of occupational therapy subjects within the Health Sciences to a range of statistical methods used in contemporary psychological and health research. (10 credit points) |
|
2 |
Second Year |
| STATISTICS FOR LIFE SCIENCES. This is the same as STA11LS and STA12LS, with an additional one-hour practice class per week in which students are guided in writing reports on studies they design, conduct and analyse. (20 credit points) |
|
1 |
| STATISTICS FOR LIFE SCIENCES. This is the same as STA11LS and STA12LS, with an additional one-hour practice class per week in which students are guided in writing reports on studies they design, conduct and analyse. (20 credit points) |
|
2 |
| STATISTICAL SCIENCE provides a working knowledge of exploratory data analysis, hypothesis tests and parameter estimates, as well as a working knowledge of the statistical computer software, Minitab. Students who complete this unit qualify for all second year statistics units. (15 credit points) |
|
1 |
| MODERN APPLIED STATISTICS examines the ideas behind many common statistical procedures and the implementation of these procedures using modern statistical computing packages, with an emphasis on graphical data inspection, sampling, parameter estimation, hypothesis testing and model criticism. (10 credit points) |
|
1 |
| MEDICAL STATISTICS examins some of the specialized statistical tecniques used in medical studies. Emphasis is on investigations into the relationship between risk factors and the development of a disease, and the analysis of survival times arising in studies of disease mortality. (20 credit points) |
|
1 |
| STATISTICS PROJECTS Students are guided through the design, collection of data, statistical analysis and report writing for two projects. (5 credit points) |
|
1 |
| BIOSTATISTICS studies methods and techniques commonly used in biostatistics. The unit consists of two streams: the Biometry stream which deals with discrete models and the Linear Model stream which deals with continuous type random variable models. (20 credit points) |
|
2 |
| ANALYSES BASED ON LINEAR MODELS
will cover the following topics: normal probability models, test for normality, bivariate data and correlation; ordinary least square estimation of simple and multiple linear regression models, regression diagnostics, completely randomized and randomized blocking ANOVA and an introduction to factorial experimental design. (10 credit points) |
|
2 |
Third Year |
| BIOSTATISTICS Students will learn to design and analyse experiments in the life sciences and agriculture. (15 credit points) |
|
1 |
| ANALYSES BASED ON LINEAR MODELS Topics covered in this unit include the simple linear regression model, derivation and properties of the ordinary least squares estimators, inference, diagnosis and prediction in the simple linear regression model, the multiple linear regression model, inference in the multiple linear regression model, the use of dummy variables and general regression models when the classical regression assumptions are violated. (15 credit points) |
|
1 |
| APPLIED PROBABILITY FOR COMPUTER SYSTEMS ENGINEERS
This unit is an introduction to probability models with application to queues and reliability of computer components, systems and networks. (10 credit points) |
|
1 |
| APPLIED STATISTICS provides advanced-level introductions to the topics of sample surveys, multivariate analysis and time series analysis. These topics are very important in applied statistics. The unit also includes an introduction to statistical consulting. (15 credit points) |
|
2 |
| STATISTICAL INFERENCE comprises components in estimation, testing hypotheses and distribution-free methods. Topics in the first component include method of moments and maximum likelihood, reduction by sufficiency and invariance, unbiasedness, consistency, efficiency and robustness. The second component examines size and power of tests, Neyman-Pearson lemma, optimality of tests, the likelihood ratio test and relationship to confidence interval estimation. The final component includes topics on one- and two-sample methods based on signs and ranks and permutation tests. (15 credit points) |
|
2 |
Fourth Year |
| BAYESIAN METHODS In this unit, students gain an understanding of the basic concepts of Bayesian statisics. They will express existing knowledge using appropriate prior distributions; derive posterior distributions for commonly used models; to carry out the associated Bayesian computations, including MCMC methods and to appropriately interpret inference results. (15 credit points) |
|
1 |
