Search Course Outline

Showing 25 course outlines from 10415 matches

7801

STATS 782

: Statistical Computing
2024 Semester One (1243)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 314, STATS 201, 208, 707
7802

STATS 782

: Statistical Computing
2023 Semester Two (1235)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
7803

STATS 782

: Statistical Computing
2023 Semester One (1233)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
7804

STATS 782

: Statistical Computing
2022 Semester Two (1225)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
7805

STATS 782

: Statistical Computing
2022 Semester One (1223)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
7806

STATS 782

: Statistical Computing
2021 Semester Two (1215)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
7807

STATS 782

: Statistical Computing
2021 Semester One (1213)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
7808

STATS 782

: Statistical Computing
2020 Semester Two (1205)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: STATS 210 or 225 and STATS 201 or 207 or 208
7809

STATS 782

: Statistical Computing
2020 Semester One (1203)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: STATS 210 or 225 and STATS 201 or 207 or 208
7810

STATS 784

: Statistical Data Mining
2023 Semester One (1233)
Data cleaning, missing values, data warehouses, security, fraud detection, meta-analysis, and statistical techniques for data mining such as regression and decision trees, modern and semiparametric regression, neural networks, statistical approaches to the classification problem.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225, and 15 points from STATS 330, 762
7811

STATS 784

: Statistical Data Mining
2022 Semester One (1223)
Data cleaning, missing values, data warehouses, security, fraud detection, meta-analysis, and statistical techniques for data mining such as regression and decision trees, modern and semiparametric regression, neural networks, statistical approaches to the classification problem.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225, and 15 points from STATS 330, 762
7812

STATS 784

: Statistical Data Mining
2021 Semester One (1213)
Data cleaning, missing values, data warehouses, security, fraud detection, meta-analysis, and statistical techniques for data mining such as regression and decision trees, modern and semiparametric regression, neural networks, statistical approaches to the classification problem.
Subject: Statistics
Prerequisite: 15 points from STATS 210, 225, and 15 points from STATS 330, 762
7813

STATS 785

: Foundations of Statistical Data Management
2021 Semester Two (1215)
SAS statistical software with an emphasis on using SAS as a programming language for purposes of database manipulation, simulation, statistical modelling and other computer-intensive methods.
Subject: Statistics
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
Restriction: STATS 301
7814

STATS 785

: Foundations of Statistical Data Management
2020 Semester Two (1205)
SAS statistical software with an emphasis on using SAS as a programming language for purposes of database manipulation, simulation, statistical modelling and other computer-intensive methods.
Subject: Statistics
No pre-requisites or restrictions
7815

STATS 785

: Foundations of Statistical Data Management
2020 Summer School (1200)
SAS statistical software with an emphasis on using SAS as a programming language for purposes of database manipulation, simulation, statistical modelling and other computer-intensive methods.
Subject: Statistics
No pre-requisites or restrictions
7816

STATS 786

: Time Series Forecasting for Data Science
2025 Semester One (1253)
Delivers a comprehensive understanding of widely used time series forecasting methods, illustrates how to build models to uncover the structure in time series and perform model diagnostics to assess the fit of models, and develops analytical and computer skills that are necessary for analysing time series data. Familiarity with coding in R is recommended.
Subject: Statistics
Prerequisite: 15 points from STATS 201, 208
Restriction: STATS 326, 727
7817

STATS 786

: Time Series Forecasting for Data Science
2024 Semester One (1243)
Delivers a comprehensive understanding of widely used time series forecasting methods, illustrates how to build models to uncover the structure in time series and perform model diagnostics to assess the fit of models, and develops analytical and computer skills that are necessary for analysing time series data. Familiarity with coding in R is recommended.
Subject: Statistics
Prerequisite: 15 points from STATS 201, 208
Restriction: STATS 326, 727
7818

STATS 786

: Time Series Forecasting for Data Science
2023 Semester One (1233)
Delivers a comprehensive understanding of widely used time series forecasting methods, illustrates how to build models to uncover the structure in time series and perform model diagnostics to assess the fit of models, and develops analytical and computer skills that are necessary for analysing time series data. Familiarity with coding in R is recommended.
Subject: Statistics
Prerequisite: 15 points from STATS 201, 208
Restriction: STATS 326, 727
7819

STATS 786

: Time Series Forecasting for Data Science
2022 Semester One (1223)
Delivers a comprehensive understanding of widely used time series forecasting methods, illustrates how to build models to uncover the structure in time series and perform model diagnostics to assess the fit of models, and develops analytical and computer skills that are necessary for analysing time series data. Familiarity with coding in R is recommended.
Subject: Statistics
Prerequisite: 15 points from STATS 201, 208
Restriction: STATS 326, 727
7820

STATS 786

: Special Topic in Statistical Computing
2021 Semester One (1213)
Subject: Statistics
No pre-requisites or restrictions
7821

STATS 787

: Data Visualisation
2025 Semester One (1253)
Effective visual presentations of data. Topics may include: how to present different types of data; human perception; graphics formats; statistical graphics in R; interactive graphics; visualising high-dimensional data; visualising large data.
Subject: Statistics
Prerequisite: 15 points from STATS 220, 369, 380 and 15 points from ENGSCI 314, STATS 201, 207, 208, 707
7822

STATS 787

: Data Visualisation
2023 Semester One (1233)
Effective visual presentations of data. Topics may include: how to present different types of data; human perception; graphics formats; statistical graphics in R; interactive graphics; visualising high-dimensional data; visualising large data.
Subject: Statistics
Prerequisite: 15 points from STATS 220, 369, 380 and 15 points from BIOSCI 209, STATS 201, 207, 208, 707
7823

STATS 787

: Data Visualisation
2022 Semester One (1223)
Effective visual presentations of data. Topics may include: how to present different types of data; human perception; graphics formats; statistical graphics in R; interactive graphics; visualising high-dimensional data; visualising large data.
Subject: Statistics
Prerequisite: 15 points from STATS 220, 369, 380 and 15 points from BIOSCI 209, STATS 201, 207, 208, 707
7824

STATS 787

: Data Visualisation
2021 Semester One (1213)
Effective visual presentations of data. Topics may include: how to present different types of data; human perception; graphics formats; statistical graphics in R; interactive graphics; visualising high-dimensional data; visualising large data.
Subject: Statistics
Prerequisite: 15 points from STATS 220, 369, 380 and 15 points from BIOSCI 209, STATS 201, 207, 208, 707
7825

STRCTENG 710

: Low Rise Structures Design
2025 Semester One (1253)
Structural systems for low-rise buildings, including seismic design and analysis techniques. Design and detailing of low-rise structures in structural steel, reinforced concrete, reinforced masonry, and timber including discussion of sustainability and environmental impacts of design decisions. Strut and tie for reinforced concrete. Introduction to fire engineering. Techniques in ensuring safety in design, checking of existing structures, lessons from failures, and design for repair.
Subject: Structural Engineering
Prerequisite: STRCTENG 302, and CIVIL 313 or STRCTENG 303
Restriction: CIVIL 713