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Showing 25 course outlines from 10415 matches
7801
STATS 782
: Statistical Computing2024 Semester One (1243)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from ENGSCI 314, STATS 201, 208, 707
7802
STATS 782
: Statistical Computing2023 Semester Two (1235)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
7803
STATS 782
: Statistical Computing2023 Semester One (1233)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
7804
STATS 782
: Statistical Computing2022 Semester Two (1225)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
7805
STATS 782
: Statistical Computing2022 Semester One (1223)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
7806
STATS 782
: Statistical Computing2021 Semester Two (1215)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
7807
STATS 782
: Statistical Computing2021 Semester One (1213)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
7808
STATS 782
: Statistical Computing2020 Semester Two (1205)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: STATS 210 or 225 and STATS 201 or 207 or 208
7809
STATS 782
: Statistical Computing2020 Semester One (1203)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: STATS 210 or 225 and STATS 201 or 207 or 208
7810
STATS 784
: Statistical Data Mining2023 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.
Prerequisite: 15 points from STATS 210, 225, and 15 points from STATS 330, 762
7811
STATS 784
: Statistical Data Mining2022 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.
Prerequisite: 15 points from STATS 210, 225, and 15 points from STATS 330, 762
7812
STATS 784
: Statistical Data Mining2021 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.
Prerequisite: 15 points from STATS 210, 225, and 15 points from STATS 330, 762
7813
STATS 785
: Foundations of Statistical Data Management2021 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.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
Restriction: STATS 301
Restriction: STATS 301
7814
STATS 785
: Foundations of Statistical Data Management2020 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.
No pre-requisites or restrictions
7815
STATS 785
: Foundations of Statistical Data Management2020 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.
No pre-requisites or restrictions
7816
STATS 786
: Time Series Forecasting for Data Science2025 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.
Prerequisite: 15 points from STATS 201, 208
Restriction: STATS 326, 727
Restriction: STATS 326, 727
7817
STATS 786
: Time Series Forecasting for Data Science2024 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.
Prerequisite: 15 points from STATS 201, 208
Restriction: STATS 326, 727
Restriction: STATS 326, 727
7818
STATS 786
: Time Series Forecasting for Data Science2023 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.
Prerequisite: 15 points from STATS 201, 208
Restriction: STATS 326, 727
Restriction: STATS 326, 727
7819
STATS 786
: Time Series Forecasting for Data Science2022 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.
Prerequisite: 15 points from STATS 201, 208
Restriction: STATS 326, 727
Restriction: STATS 326, 727
7820
STATS 786
: Special Topic in Statistical Computing2021 Semester One (1213)
No pre-requisites or restrictions
7821
STATS 787
: Data Visualisation2025 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.
Prerequisite: 15 points from STATS 220, 369, 380 and 15 points from ENGSCI 314, STATS 201, 207, 208, 707
7822
STATS 787
: Data Visualisation2023 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.
Prerequisite: 15 points from STATS 220, 369, 380 and 15 points from BIOSCI 209, STATS 201, 207, 208, 707
7823
STATS 787
: Data Visualisation2022 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.
Prerequisite: 15 points from STATS 220, 369, 380 and 15 points from BIOSCI 209, STATS 201, 207, 208, 707
7824
STATS 787
: Data Visualisation2021 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.
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 Design2025 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.
Prerequisite: STRCTENG 302, and CIVIL 313 or STRCTENG 303
Restriction: CIVIL 713
Restriction: CIVIL 713
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