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Showing 25 course outlines from 4702 matches
3476
STATS 380
: Statistical Computing2021 Semester Two (1215)
Statistical programming using the R computing environment. Data structures, numerical computing and graphics.
Prerequisite: 15 points from STATS 201, 207, 208, 220, BIOSCI 209
3477
STATS 380
: Statistical Computing2020 Semester Two (1205)
Statistical programming using the R computing environment. Data structures, numerical computing and graphics.
Prerequisite: 15 points from STATS 201, 207, 208, 220, BIOSCI 209
3478
STATS 383
: The Science and Craft of Data Management2024 Semester Two (1245)
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: ENGSCI 314 or STATS 201 or 208, and COMPSCI 101 or ENGSCI 233 or STATS 220
3479
STATS 383
: The Science and Craft of Data Management2023 Semester Two (1235)
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: ENGSCI 314 or STATS 201 or 208, and COMPSCI 101 or ENGSCI 233 or STATS 220
3480
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
3481
STATS 399
: Capstone: Statistics in Action2025 Semester Two (1255)
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
3482
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
3483
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
3484
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
3485
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
3486
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
3487
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
3488
STATS 705
: Topics in Official Statistics2025 Semester Two (1255)
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
3489
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
3490
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
3491
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
3492
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
3493
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
3494
STATS 707
: Computational Introduction to Statistics2025 Semester One (1253)
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
3495
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
3496
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
3497
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
3498
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
3499
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
3500
STATS 708
: Topics in Statistical Education2025 Semester One (1253)
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
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