Table R - Higher Degree By Research
Please check the current students website (Find a unit of study) for up-to-date information on units of study including availability.
Unit outlines will be available through Find a unit outline.
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
|---|---|---|---|
Table R - Advanced Numerical Analyses |
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| This table lists Table R - Higher Degree by Research units of study | |||
| AMME5060 Advanced Computational Engineering |
6 | A Linear algebra, calculus and partial differential equations, Taylor series, the finite difference and finite element methods, numerical stability, accuracy, direct and iterative linear solvers and be able to write Matlab Scripts to solve problems using these methods P UG students are required to complete AMME3060 before enrolling in this unit Note: Department permission required for enrolment |
Semester 2 |
| DATA5441 Networks and High-dimensional Inference |
6 | A Linear algebra (matrices, eigenvalues, etc.); introductory concepts in statistics (statistical models, inference); a programming language |
Semester 2 |
| DATA5710 Applied Statistics for Complex Data This unit of study is not available in 2022 |
6 | A Familiarity with probability theory at 4000 level (e.g., STAT4211 or STAT4214 or equivalent) and with statistical modelling (e.g., STAT4027 or equivalent). Please consult with the coordinator for further information. Note: Department permission required for enrolment This unit is only available in even years. |
Intensive August Intensive March |
| DATA5711 Bayesian Computational Statistics This unit of study is not available in 2022 |
6 | A Familiarity with probability theory at 4000 level (e.g., STAT4211 or STAT4214 or equivalent) and with statistical modelling (e.g., STAT4027 or equivalent). Please consult with the coordinator for further information. Note: Department permission required for enrolment This unit is only available in odd years. |
Intensive August Intensive March |
| DATA6810 Probabilistic Models for Complex Data |
6 | A An understanding of the foundations of data science, for example a qualification in mathematics, statistics, computer science or a strong quantitative background such as engineering, econometrics or earth sciences Note: Department permission required for enrolment |
Semester 1 Semester 2 |
| DATA6811 Computational Inference for Machine Learning |
6 | A An understanding of the foundations of data science, for example a qualification in mathematics, statistics, computer science or a strong quantitative background such as engineering, econometrics or earth sciences Note: Department permission required for enrolment |
Semester 1 Semester 2 |
| OLET5602 Computational Analysis for omics Data |
2 | A Experience with at least one programming language. Basic computational and statistical concepts. Basic knowledge of molecular biology |
Intensive August |
| STAT5003 Computational Statistical Methods |
6 | A STAT5002 or equivalent introductory statistics course with a statistical computing component Note: Department permission required for enrolment |
Semester 1 Semester 2 |
| STAT5610 Advanced Inference |
6 | A Strong background in probability theory and statistical modelling. Please consult with the coordinator for further information This unit is only available in even years. |
Semester 2 |
| STAT5611 Statistical Methodology This unit of study is not available in 2022 |
6 | A Familiarity with probability theory at 4000 level (e.g., STAT4211 or STAT4214 or equivalent) and with statistical modelling (e.g., STAT4027 or equivalent). Please consult with the coordinator for further information. This unit is only available in odd years. |
Semester 2 |