Search Course Outline

Search

Showing 25 course outlines from 19204 matches

14926

STATS 781

: Honours Project in Statistics
2020 Semester One (1203)
Subject: Statistics
Restriction: STATS 789 To complete this course students must enrol in STATS 781 A and B, or STATS 781
14927

STATS 782

: Statistical Computing
2025 Semester Two (1255)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 314, STATS 201, 208, 707
14928

STATS 782

: Statistical Computing
2025 Semester One (1253)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 314, STATS 201, 208, 707
14929

STATS 782

: Statistical Computing
2024 Semester Two (1245)
Professional skills, advanced statistical programming, numerical computation and graphics.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 314, STATS 201, 208, 707
14930

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
14931

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
14932

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
14933

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
14934

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
14935

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
14936

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
14937

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
14938

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
14939

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
14940

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
14941

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
14942

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
14943

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
14944

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
14945

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
14946

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
14947

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
14948

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
14949

STATS 786

: Special Topic in Statistical Computing
2021 Semester One (1213)
Subject: Statistics
No pre-requisites or restrictions
14950

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