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Showing 25 course outlines from 3701 matches
2801
STATS 383
: The Science and Craft of Data Management2022 Semester Two (1225)
A structured introduction to the science and craft of data management, including: data representations and their advantages and disadvantages; workflow and data governance; combining and splitting data sets; data cleaning; the creation of non-trivial summary variables; and the handling of missing data. These will be illustrated by data sets of varying size and complexity, and students will implement data processing steps in at least two software systems.
Prerequisite: STATS 201, 207, or 208 or BIOSCI 209; and STATS 220 or COMPSCI 101
2802
STATS 399
: Capstone: Statistics in Action2024 Semester Two (1245)
Provides opportunities to integrate knowledge in statistics and data science, and collaborate with others through a succession of group projects and activities.
Prerequisite: 30 points at Stage III in Statistics
2803
STATS 399
: Capstone: Statistics in Action2023 Semester Two (1235)
Provides opportunities to integrate knowledge in statistics and data science, and collaborate with others through a succession of group projects and activities.
Prerequisite: 30 points at Stage III in Statistics
2804
STATS 399
: Capstone: Statistics in Action2022 Semester Two (1225)
Provides opportunities to integrate knowledge in statistics and data science, and collaborate with others through a succession of group projects and activities.
Prerequisite: 30 points at Stage III in Statistics
2805
STATS 399
: Capstone: Statistics in Action2021 Semester Two (1215)
Provides opportunities to integrate statistical knowledge and collaborate with others through completion of a group-based project.
Prerequisite: 30 points at Stage III in Statistics
2806
STATS 399
: Capstone: Statistics in Action2021 Semester One (1213)
Provides opportunities to integrate statistical knowledge and collaborate with others through completion of a group-based project.
Prerequisite: 30 points at Stage III in Statistics
2807
STATS 701
: Advanced SAS Programming2020 Semester One (1203)
A continuation of STATS 301, with more in-depth coverage of programming in the SAS language. Topics covered will include advanced use of the SAS language, advanced data step programming, macros, input and output, connectivity to other software platforms, SAS SQL.
Prerequisite: STATS 301
2808
STATS 705
: Topics in Official Statistics2024 Semester Two (1245)
Official statistics, data access, data quality, demographic and health statistics, other social statistics, economic statistics, analysis and presentation, case studies in the use of official statistics.
No pre-requisites or restrictions
2809
STATS 705
: Topics in Official Statistics2023 Semester Two (1235)
Official statistics, data access, data quality, demographic and health statistics, other social statistics, economic statistics, analysis and presentation, case studies in the use of official statistics.
No pre-requisites or restrictions
2810
STATS 705
: Topics in Official Statistics2022 Semester Two (1225)
Official statistics, data access, data quality, demographic and health statistics, other social statistics, economic statistics, analysis and presentation, case studies in the use of official statistics.
No pre-requisites or restrictions
2811
STATS 705
: Topics in Official Statistics2021 Semester Two (1215)
Official statistics, data access, data quality, demographic and health statistics, other social statistics, economic statistics, analysis and presentation, case studies in the use of official statistics.
No pre-requisites or restrictions
2812
STATS 705
: Topics in Official Statistics2020 Semester Two (1205)
Official statistics, data access, data quality, demographic and health statistics, other social statistics, economic statistics, analysis and presentation, case studies in the use of official statistics.
No pre-requisites or restrictions
2813
STATS 707
: Computational Introduction to Statistics2024 Semester One (1243)
An advanced introduction to statistics and data analysis, including testing, estimation, and linear regression.
Prerequisite: 15 points from STATS 101, 108 and 15 points from COMPSCI 101, MATHS 162
Restriction: ENGSCI 314, STATS 201, 207, 208, 210, 225
Restriction: ENGSCI 314, STATS 201, 207, 208, 210, 225
2814
STATS 707
: Computational Introduction to Statistics2023 Semester One (1233)
An advanced introduction to statistics and data analysis, including testing, estimation, and linear regression.
Prerequisite: 15 points from STATS 101, 108 and 15 points from COMPSCI 101, MATHS 162
Restriction: BIOSCI 209, STATS 201, 207, 208, 210, 225
Restriction: BIOSCI 209, STATS 201, 207, 208, 210, 225
2815
STATS 707
: Computational Introduction to Statistics2022 Semester One (1223)
An advanced introduction to statistics and data analysis, including testing, estimation, and linear regression.
Prerequisite: 15 points from STATS 101, 108 and 15 points from COMPSCI 101, MATHS 162
Restriction: BIOSCI 209, STATS 201, 207, 208, 210, 225
Restriction: BIOSCI 209, STATS 201, 207, 208, 210, 225
2816
STATS 707
: Computational Introduction to Statistics2021 Semester One (1213)
An advanced introduction to statistics and data analysis, including testing, estimation, and linear regression.
Prerequisite: 15 points from STATS 101, 108 and 15 points from COMPSCI 101, MATHS 162
Restriction: BIOSCI 209, STATS 201, 207, 208, 210, 225
Restriction: BIOSCI 209, STATS 201, 207, 208, 210, 225
2817
STATS 707
: Computational Introduction to Statistics2020 Semester One (1203)
An advanced introduction to statistics and data analysis, including testing, estimation, and linear regression.
Prerequisite: 15 points from STATS 101, 108 and 15 points from COMPSCI 101, MATHS 162
Restriction: STATS 201, 208, 210, 225
Restriction: STATS 201, 208, 210, 225
2818
STATS 708
: Topics in Statistical Education2023 Semester One (1233)
Covers a wide range of research in statistics education at the school and tertiary level. There will be a consideration of, and an examination of, the issues involved in statistics education in the curriculum, teaching, learning, technology and assessment areas.
No pre-requisites or restrictions
2819
STATS 708
: Topics in Statistical Education2021 Semester One (1213)
Covers a wide range of research in statistics education at the school and tertiary level. There will be a consideration of, and an examination of, the issues involved in statistics education in the curriculum, teaching, learning, technology and assessment areas.
No pre-requisites or restrictions
2820
STATS 709
: Predictive Modelling2024 Semester Two (1245)
Predictive modelling forecasts likely future outcomes based on historical and current data. Following an advanced introduction to statistics and data analysis, the course will discuss concepts for modern predictive modelling and machine learning.
Prerequisite: COMPSCI 130, MATHS 108, and 15 points from STATS 101, 108, or equivalent
Restriction: STATS 201, 207, 208, 210, 225, 707, 765
Restriction: STATS 201, 207, 208, 210, 225, 707, 765
2821
STATS 710
: Probability Theory2024 Semester Two (1245)
Fundamental ideas in probability theory; sigma-fields, laws of large numbers, characteristic functions, the Central Limit Theorem.
Prerequisite: B+ or higher in STATS 225 or 15 points from STATS 310, 320, 325
2822
STATS 710
: Probability Theory2022 Semester Two (1225)
Fundamental ideas in probability theory; sigma-fields, laws of large numbers, characteristic functions, the Central Limit Theorem.
Prerequisite: B+ or higher in STATS 225 or 15 points from STATS 310, 320, 325
2823
STATS 710
: Probability Theory2021 Semester Two (1215)
Fundamental ideas in probability theory; sigma-fields, laws of large numbers, characteristic functions, the Central Limit Theorem.
Prerequisite: B+ or higher in STATS 225 or 15 points from STATS 310, 320, 325
2824
STATS 710
: Probability Theory2020 Semester Two (1205)
Fundamental ideas in probability theory; sigma-fields, laws of large numbers, characteristic functions, the Central Limit Theorem.
Prerequisite: STATS 310, 320 or 325
2825
STATS 720
: Stochastic Processes2024 Semester One (1243)
Stochastic models and their applications. Discrete and continuous-time jump Markov processes. A selection of topics from point processes, renewal theory, Markov decision processes, stochastic networks, inference for stochastic processes, simulation of stochastic processes, and computational methods using R.
Prerequisite: STATS 320 or 325
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