# Search Course Outline

### Showing 25 course outlines from 3703 matches

2701

#### STATS 208

: Data Analysis for Commerce2020 Summer School (1200)

A practical course in the statistical analysis of data. There is a heavy emphasis in this course on the interpretation and communication of statistical findings. Topics such as exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection will be covered.

Prerequisite: 15 points from STATS 101-108, 191

Restriction: STATS 201, 207, BIOSCI 209

Restriction: STATS 201, 207, BIOSCI 209

2702

#### STATS 210

: Statistical Theory2024 Semester Two (1245)

Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.

Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125
Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent

2703

#### STATS 210

: Statistical Theory2024 Semester One (1243)

Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.

Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125
Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent

2704

#### STATS 210

: Statistical Theory2024 Summer School (1240)

Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.

Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125
Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent

2705

#### STATS 210

: Statistical Theory2023 Semester Two (1235)

Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.

2706

#### STATS 210

: Statistical Theory2023 Semester One (1233)

Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.

2707

#### STATS 210

: Statistical Theory2023 Summer School (1230)

Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.

2708

#### STATS 210

: Statistical Theory2022 Semester Two (1225)

Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.

2709

#### STATS 210

: Statistical Theory2022 Semester One (1223)

Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.

2710

#### STATS 210

: Statistical Theory2022 Summer School (1220)

Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.

2711

#### STATS 210

: Statistical Theory2021 Semester Two (1215)

Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.

2712

#### STATS 210

: Statistical Theory2021 Semester One (1213)

Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.

2713

#### STATS 210

: Statistical Theory2021 Summer School (1210)

Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.

2714

#### STATS 210

: Statistical Theory2020 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.

2715

#### STATS 210

: Statistical Theory2020 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.

2716

#### STATS 220

: Data Technologies2024 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.

Prerequisite: 15 points at Stage I in Computer Science or Statistics

2717

#### STATS 220

: Data Technologies2023 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.

Prerequisite: 15 points at Stage I in Computer Science or Statistics

2718

#### STATS 220

: Data Technologies2022 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.

Prerequisite: 15 points at Stage I in Computer Science or Statistics

2719

#### STATS 220

: Data Technologies2021 Semester One (1213)

Prerequisite: 15 points at Stage I in Computer Science or Statistics

2720

#### STATS 220

: Data Technologies2020 Semester One (1203)

Prerequisite: 15 points at Stage I in Computer Science or Statistics

2721

#### STATS 225

: Probability: Theory and Applications2024 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.

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

2722

#### STATS 225

: Probability: Theory and Applications2023 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.

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

2723

#### STATS 225

: Probability: Theory and Applications2022 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.

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

2724

#### STATS 225

: Probability: Theory and Applications2021 Semester One (1213)

2725

#### STATS 225

: Probability: Theory and Applications2020 Semester One (1203)

Prerequisite: 15 points from ENGGEN 150, ENGSCI 111, STATS 125 with a B+ or higher, or MATHS 120 and 130 with a B+ or higher
Corequisite: 15 points from MATHS 250, ENGSCI 211 or equivalent

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