Search Course Outline
Showing 25 course outlines from 3703 matches
2801
STATS 380
: Statistical Computing2022 Semester Two (1225)
Statistical programming using the R computing environment. Data structures, numerical computing and graphics.
Prerequisite: 15 points from STATS 201, 207, 208, 220, BIOSCI 209
2802
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
2803
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
2804
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
2805
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
2806
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
2807
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
2808
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
2809
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
2810
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
2811
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
2812
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
2813
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
2814
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
2815
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
2816
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
2817
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
2818
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
2819
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
2820
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
2821
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
2822
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
2823
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
2824
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
2825
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
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149