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3276

STATS 210

: Statistical Theory
2025 Semester One (1253)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3277

STATS 210

: Statistical Theory
2024 Semester Two (1245)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3278

STATS 210

: Statistical Theory
2024 Semester One (1243)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3279

STATS 210

: Statistical Theory
2024 Summer School (1240)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3280

STATS 210

: Statistical Theory
2023 Semester Two (1235)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3281

STATS 210

: Statistical Theory
2023 Semester One (1233)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3282

STATS 210

: Statistical Theory
2023 Summer School (1230)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3283

STATS 210

: Statistical Theory
2022 Semester Two (1225)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3284

STATS 210

: Statistical Theory
2022 Semester One (1223)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3285

STATS 210

: Statistical Theory
2022 Summer School (1220)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3286

STATS 210

: Statistical Theory
2021 Semester Two (1215)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3287

STATS 210

: Statistical Theory
2021 Semester One (1213)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3288

STATS 210

: Statistical Theory
2021 Summer School (1210)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3289

STATS 210

: Statistical Theory
2020 Semester Two (1205)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing. This course is a prerequisite for the BSc(Hons) and masters degree in statistics.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3290

STATS 210

: Statistical Theory
2020 Semester One (1203)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing. This course is a prerequisite for the BSc(Hons) and masters degree in statistics.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3291

STATS 220

: Data Technologies
2025 Semester One (1253)
Explores the processes of data acquisition, data storage and data processing using current computer technologies. Students will gain experience with and understanding of the processes of data acquisition, storage, retrieval, manipulation, and management. Students will also gain experience with and understanding of the computer technologies that perform these processes.
Subject: Statistics
Prerequisite: 15 points at Stage I in Computer Science or Statistics
3292

STATS 220

: Data Technologies
2024 Semester One (1243)
Explores the processes of data acquisition, data storage and data processing using current computer technologies. Students will gain experience with and understanding of the processes of data acquisition, storage, retrieval, manipulation, and management. Students will also gain experience with and understanding of the computer technologies that perform these processes.
Subject: Statistics
Prerequisite: 15 points at Stage I in Computer Science or Statistics
3293

STATS 220

: Data Technologies
2023 Semester One (1233)
Explores the processes of data acquisition, data storage and data processing using current computer technologies. Students will gain experience with and understanding of the processes of data acquisition, storage, retrieval, manipulation, and management. Students will also gain experience with and understanding of the computer technologies that perform these processes.
Subject: Statistics
Prerequisite: 15 points at Stage I in Computer Science or Statistics
3294

STATS 220

: Data Technologies
2022 Semester One (1223)
Explores the processes of data acquisition, data storage and data processing using current computer technologies. Students will gain experience with and understanding of the processes of data acquisition, storage, retrieval, manipulation, and management. Students will also gain experience with and understanding of the computer technologies that perform these processes.
Subject: Statistics
Prerequisite: 15 points at Stage I in Computer Science or Statistics
3295

STATS 220

: Data Technologies
2021 Semester One (1213)
Explores the processes of data acquisition, data storage and data processing using current computer technologies. Students will gain experience with and understanding of the processes of data acquisition, storage, retrieval, manipulation, and management. Students will also gain experience with and understanding of the computer technologies that perform these processes.
Subject: Statistics
Prerequisite: 15 points at Stage I in Computer Science or Statistics
3296

STATS 220

: Data Technologies
2020 Semester One (1203)
Explores the processes of data acquisition, data storage and data processing using current computer technologies. Students will gain experience with and understanding of the processes of data acquisition, storage, retrieval, manipulation, and management. Students will also gain experience with and understanding of the computer technologies that perform these processes.
Subject: Statistics
Prerequisite: 15 points at Stage I in Computer Science or Statistics
3297

STATS 225

: Probability: Theory and Applications
2025 Semester One (1253)
Covers the fundamentals of probability through theory, methods, and applications. Topics should include the classical limit theorems of probability and statistics known as the laws of large numbers and central limit theorem, conditional expectation as a random variable, the use of generating function techniques, and key properties of some fundamental stochastic models such as random walks, branching processes and Poisson point processes.
Subject: Statistics
Prerequisite: B+ or higher in ENGGEN 150 or ENGSCI 111 or STATS 125, or a B+ or higher in MATHS 120 and 130 Corequisite: 15 points from ENGSCI 211, MATHS 208, 250
3298

STATS 225

: Probability: Theory and Applications
2024 Semester One (1243)
Covers the fundamentals of probability through theory, methods, and applications. Topics should include the classical limit theorems of probability and statistics known as the laws of large numbers and central limit theorem, conditional expectation as a random variable, the use of generating function techniques, and key properties of some fundamental stochastic models such as random walks, branching processes and Poisson point processes.
Subject: Statistics
Prerequisite: B+ or higher in ENGGEN 150 or ENGSCI 111 or STATS 125, or a B+ or higher in MATHS 120 and 130 Corequisite: 15 points from ENGSCI 211, MATHS 208, 250
3299

STATS 225

: Probability: Theory and Applications
2023 Semester One (1233)
Covers the fundamentals of probability through theory, methods, and applications. Topics should include the classical limit theorems of probability and statistics known as the laws of large numbers and central limit theorem, conditional expectation as a random variable, the use of generating function techniques, and key properties of some fundamental stochastic models such as random walks, branching processes and Poisson point processes.
Subject: Statistics
Prerequisite: B+ or higher in ENGGEN 150 or ENGSCI 111 or STATS 125, or a B+ or higher in MATHS 120 and 130 Corequisite: 15 points from ENGSCI 211, MATHS 208, 250
3300

STATS 225

: Probability: Theory and Applications
2022 Semester One (1223)
Covers the fundamentals of probability through theory, methods, and applications. Topics should include the classical limit theorems of probability and statistics known as the laws of large numbers and central limit theorem, conditional expectation as a random variable, the use of generating function techniques, and key properties of some fundamental stochastic models such as random walks, branching processes and Poisson point processes.
Subject: Statistics
Prerequisite: B+ or higher in ENGGEN 150 or ENGSCI 111 or STATS 125, or a B+ or higher in MATHS 120 and 130 Corequisite: 15 points from ENGSCI 211, MATHS 208, 250