Quantitative Analysis
Unit of study table (Table R)
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition |
|---|---|---|
| BMET9925 AI, Data, and Society in Health |
6 | A Familiarity with general mathematical and statistical concepts. Online learning modules will be provided to support obtaining this knowledge N BMET2925 |
| CIVL5458 Numerical Methods in Civil Engineering |
6 | |
| ECMT5001 Principles of Econometrics |
6 | |
| ECON5005 Quantitative Tools for Economics |
6 | |
| ECON6003 Mathematical Methods of Econ Analysis |
6 | P ECON5001 and ECON5002 N ECON6703 |
| EDPK5002 Quantitative Methods |
6 | |
| FMHU5002 Introductory Biostatistics |
6 | N PUBH5018 |
| MATH5311 Topics in Algebra (Alt) |
6 | A Familiarity with abstract algebra (e.g., MATH4062 or equivalent) and commutative algebra (e.g., MATH4312 or equivalent). Please consult with the coordinator for further information. |
| MATH5430 Mathematical Models for Natural Phenomena |
6 | A Familiarity with the modelling and analysis using differential equations (e.g., MATH3063, MATH4063, MATH3078, MATH4078 or MATH4074) and the ability to write code and numerical schemes to solve standard applied mathematical problems (e.g., MATH4076 or MATH3076 or MATH4411 or equivalent). Please consult with the coordinator for further information |
| MATH5431 Mathematical Models for Natural Phenomena Alt |
6 | A Familiarity with the modelling and analysis using differential equations (e.g., MATH3063, MATH4063, MATH3078, MATH4078 or MATH4074) and the ability to write code and numerical schemes to solve standard applied mathematical problems (e.g., MATH4076 or MATH3076 or MATH4411 or equivalent). Please consult with the coordinator for further information. |
| MATH6980 Reading Seminar in Mathematics and Statistics |
6 | Note: enrolment in this unit is by special permission of unit coordinator |
| OLET5120 Understanding and Using ABS Data |
2 | |
| OLET5606 Data Wrangling |
2 | A Basic exploratory data analysis, basic coding in R |
| OLET5608 Linear Modelling |
2 | A Exploratory data analysis, sampling, simple linear regression, t-tests and confidence intervals. Ability to perform data analytics with coding, basic linear algebra. E.g. DATA1001 and OLET5606 (Data wrangling) N DATA2002 or DATA2902 or ENVX2001 |
| OLET5610 Multivariate Data Analysis |
2 | |
| PUBH5215 Analysis of Linked Health Data |
6 | A The unit assumes introductory-level programming skills in SAS or R, assumes introductory-level knowledge in epidemiology, e.g., PUBH5010 or CEPI5100, and introductory-level knowledge in biostatistics or statistics, e.g., PUBH5018 or FMHU5002. C (PUBH5010 or BSTA5011 or CEPI5100) and (PUBH5211 or PUBH5217 or BSTA5004) |
| PUBH5217 Biostatistics: Statistical Modelling |
6 | P PUBH5018 or FMHU5002 N (PUBH5211 or PUBH5212 or PUBH5213) |
| PUBH5218 Advanced Statistical Modelling |
6 | P PUBH5217 N CEPI5310 |
| PUBH5317 Advanced Economic and Decision Analysis |
6 | P (PUBH5010 or CEPI5100 or BSTA5011) and (PUBH5018 or FMHU5002 or BSTA5002) N PUBH5205 or PUBH5307 C PUBH5312 |
| SSPS6001 Quantitative Methods in Social Sciences |
6 | |
| SSPS6006 Data Analytics for Social Research |
6 | |
| SSPS6007 Intro to Computational Social Sciences |
6 | |
| STAT5002 Introduction to Statistics |
6 | A HSC Mathematics |
