Search Course Outline

Showing 25 course outlines from 4480 matches

3551

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
3552

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
3553

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
3554

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
3555

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
3556

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
3557

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
3558

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
3559

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
3560

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
3561

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
3562

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
3563

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
3564

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
3565

STATS 786

: Special Topic in Statistical Computing
2021 Semester One (1213)
Subject: Statistics
No pre-requisites or restrictions
3566

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
3567

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
3568

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
3569

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
3570

SUSTAIN 100

: Sustainability and Us
2025 Semester Two (1255)
What is sustainability? The course discusses what sustainability means, and its underpinning values, history and operation within complex physical systems. Students complete a group project to develop skills in collective decision making with a solution focus. The course explores two sustainability issues in depth.
Subject: Sustainability
No pre-requisites or restrictions
3571

SUSTAIN 100

: Sustainability and Us
2024 Semester Two (1245)
What is sustainability? Discusses what sustainability means, and its underpinning values, history and operation within complex physical systems. Students complete a group project to develop skills in collective decision making with a solution focus. Two sustainability issues, such as food and water, are discussed in depth.
Subject: Sustainability
No pre-requisites or restrictions
3572

SUSTAIN 100

: Sustainability and Us
2023 Semester Two (1235)
What is sustainability? Discusses what sustainability means, and its underpinning values, history and operation within complex physical systems. Students complete a group project to develop skills in collective decision making with a solution focus. Two sustainability issues, such as food and water, are discussed in depth.
Subject: Sustainability
No pre-requisites or restrictions
3573

SUSTAIN 100

: Sustainability and Us
2022 Semester Two (1225)
What is sustainability? Discusses what sustainability means, and its underpinning values, history and operation within complex physical systems. Students complete a group project to develop skills in collective decision making with a solution focus. Two sustainability issues, such as food and water, are discussed in depth.
Subject: Sustainability
No pre-requisites or restrictions
3574

SUSTAIN 100

: Sustainability and Us
2021 Semester Two (1215)
What is sustainability? Discusses what sustainability means, and its underpinning values, history and operation within complex physical systems. Students complete a group project to develop skills in collective decision making with a solution focus. Two sustainability issues, such as food and water, are discussed in depth.
Subject: Sustainability
No pre-requisites or restrictions
3575

SUSTAIN 100

: Sustainability and Us
2020 Semester Two (1205)
What is sustainability? Discussion of what ‘sustainability’ means, its underpinning values, and the role individuals and organisations play in creating solutions. Students work in groups to investigate a sustainability issue on campus and design a solution, which they present via a film, poster, presentation or model. Examines sustainability issues - water and overpopulation.
Subject: Sustainability
No pre-requisites or restrictions