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Showing 25 course outlines from 1554 matches
1176
STATS 731
: Bayesian Inference2022 Semester Two (1225)
A course in practical Bayesian statistical inference covering: the Bayesian approach specification of prior distributions, decision-theoretic foundations, the likelihood principle, asymptotic approximations, simulation methods, Markov Chain Monte Carlo methods, the BUGS and CODA software, model assessment, hierarchical models, application in data analysis.
Prerequisite: STATS 210 or 225
1177
STATS 732
: Foundations of Statistical Inference2022 Semester One (1223)
Fundamentals of statistical inference including estimation, hypothesis testing, likelihood methods, multivariate distributions, joint, marginal, and conditional distributions, vector random variables, and an introduction to decision theory and Bayesian inference.
Prerequisite: STATS 210 or 225, and 15 points from MATHS 208, 250
Restriction: STATS 310
Restriction: STATS 310
1178
STATS 740
: Sample Surveys2022 Semester Two (1225)
The design, management and analysis of sample surveys. Topics such as the following are studied. Types of Survey. Revision of statistical aspects of sampling. Preparing surveys. Research entry: problem selection, sponsorship and collaboration. Research design: methodology and data collection; Issues of sample design and sample selection. Conducting surveys: Questionnaires and questions; Non-sampling issues; Project management; Maintaining data quality. Concluding surveys: Analysis; Dissemination.
Prerequisite: 15 points from STATS 240, 330, 340, and 15 points from Stage II Mathematics
1179
STATS 762
: Regression for Data Science2022 Semester One (1223)
Application of the generalised linear model to fit data arising from a wide range of sources, including multiple linear regression models, Poisson regression, and logistic regression models. The graphical exploration of data. Model building for prediction and for causal inference. Other regression models such as quantile regression. A basic understanding of vector spaces, matrix algebra and calculus will be assumed.
Prerequisite: STATS 707 or 210 or 225, and 15 points from STATS 201, 207, 208 or a B+ or higher in BIOSCI 209
Restriction: STATS 330
Restriction: STATS 330
1180
STATS 763
: Advanced Regression Methodology2022 Semester One (1223)
Generalised linear models, generalised additive models, survival analysis. Smoothing and semiparametric regression. Marginal and conditional models for correlated data. Model selection for prediction and for control of confounding. Model criticism and testing. Computational methods for model fitting, including Bayesian approaches.
Prerequisite: STATS 210 or 225, and 15 points from STATS 330, 762 and 15 points at Stage II in Mathematics
1181
STATS 765
: Statistical Learning for Data Science2022 Semester One (1223)
Concepts of modern predictive modelling and machine learning such as loss functions, overfitting, generalisation, regularisation, sparsity. Techniques including regression, recursive partitioning, boosting, neural networks. Application to real data sets from a variety of sources, including data quality assessment, data preparation and reporting.
Prerequisite: 15 points from STATS 201 or 207 or 208 and 15 points from STATS 210 or 225, or STATS 707
Corequisite: May be taken with STATS 707
Restriction: STATS 369
Restriction: STATS 369
1182
STATS 766
: Multivariate Analysis2022 Semester Two (1225)
A selection of topics from multivariate analysis, including: advanced methods of data display (e.g., Correspondence and Canonical Correspondence Analysis, Biplots, and PREFMAP) and an introduction to classification methods (e.g., various types of Discriminant Function Analysis).
Prerequisite: STATS 302 or 767
1183
STATS 767
: Foundations of Applied Multivariate Analysis2022 Semester One (1223)
Fundamentals of exploratory analysis of multivariate data, with emphasis on the use of statistical software and reporting of results. Topics covered include: techniques for data display, dimension reduction and ordination, cluster analysis, multivariate ANOVA and associated methods.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
Restriction: STATS 302
Restriction: STATS 302
1184
STATS 769
: Advanced Data Science Practice2022 Semester Two (1225)
Databases, SQL, scripting, distributed computation, other data technologies.
Prerequisite: 15 points from STATS 220, 369, 380 and 15 points from BIOSCI 209, STATS 201, 207, 208, 707
1185
STATS 770
: Introduction to Medical Statistics2022 Semester Two (1225)
An introduction to ideas of importance in medical statistics, such as measures of risk, basic types of medical study, causation, ethical issues and censoring, together with a review of common methodologies.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208 and 15 points from STATS 210, 225, 707
1186
STATS 773
: Design and Analysis of Clinical Trials2022 Semester Two (1225)
The theory and practice of clinical trials, including: design issues, data management, common analysis methodologies, intention to treat, compliance, interim analyses and ethical considerations.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
1187
STATS 776
: Estimating Animal Abundance2022 Semester One (1223)
Fundamentals of the statistical methods that underly capture-recapture, distance sampling and occupancy analysis, focusing on the critical role that p, the probability of detection, plays in estimating n, the number of animals, or psi, the probability of species presence. Extensions to these fundamental tools including spatially explicit, genetic, and hierarchical methods will be covered.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
1188
STATS 779
: Professional Skills for Statisticians2022 Semester One (1223)
Statistical software, data management, data integrity, data transfer, file processing, symbolic manipulation, document design and presentation, oral presentation, professional ethics.
No pre-requisites or restrictions
1189
STATS 780
: Statistical Consulting2022 Semester Two (1225)
Students will learn about the practicalities of statistical consulting. Students will carry out a statistical consulting project, including the writing of a report, under the supervision of a member of the academic staff.
Prerequisite: STATS 330 or 762
1190
STATS 782
: Statistical Computing2022 Semester Two (1225)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
1191
STATS 782
: Statistical Computing2022 Semester One (1223)
Professional skills, advanced statistical programming, numerical computation and graphics.
Prerequisite: 15 points from STATS 210, 225 and 15 points from BIOSCI 209, STATS 201, 207, 208, or STATS 707
1192
STATS 784
: Statistical Data Mining2022 Semester One (1223)
Data cleaning, missing values, data warehouses, security, fraud detection, meta-analysis, and statistical techniques for data mining such as regression and decision trees, modern and semiparametric regression, neural networks, statistical approaches to the classification problem.
Prerequisite: 15 points from STATS 210, 225, and 15 points from STATS 330, 762
1193
STATS 786
: Time Series Forecasting for Data Science2022 Semester One (1223)
Delivers a comprehensive understanding of widely used time series forecasting methods, illustrates how to build models to uncover the structure in time series and perform model diagnostics to assess the fit of models, and develops analytical and computer skills that are necessary for analysing time series data. Familiarity with coding in R is recommended.
Prerequisite: 15 points from STATS 201, 208
Restriction: STATS 326, 727
Restriction: STATS 326, 727
1194
STATS 787
: Data Visualisation2022 Semester One (1223)
Effective visual presentations of data. Topics may include: how to present different types of data; human perception; graphics formats; statistical graphics in R; interactive graphics; visualising high-dimensional data; visualising large data.
Prerequisite: 15 points from STATS 220, 369, 380 and 15 points from BIOSCI 209, STATS 201, 207, 208, 707
1195
TRANSLAT 700
: Digital Translation2022 Semester One (1223)
Equips students with highly specialised theoretical and practical skills in audiovisual translation (AVT) and localisation. Develops specialised skills and knowledge needed to translate software, websites and audiovisual content. Covers the distinctive characteristics of digital texts. Develops the skills required to address the specific characteristics of digital source texts. Students will be exposed to the latest scholarship and develop an advanced critical understanding of localisation tools and tools to facilitate subtitling.
Restriction: TRANSLAT 715
1196
TRANSLAT 712
: Computer-aided Translation (CAT) Tools2022 Semester Two (1225)
Introduces students to a wide range of computer skills for professional translators. Participants will learn how to set up an efficient professional IT environment and how to use software solutions to improve both the quality and the productivity of their work. Special emphasis will be placed on the generation and management of domain-specific terminology. In addition, this course provides students with an overview of and hands-on experience in the use of market-leading translation memory systems, namely SDL Trados.
Restriction: TRANSLAT 710, 723
1197
TRANSLAT 713
: Community Translation and Interpreting2022 Semester One (1223)
Equips students with translation and interpreting skills and knowledge needed to communicate public service information to multilingual and multicultural communities, for example, in healthcare and legal settings and in disaster scenarios. Provides training on terminology, notetaking and memory management complements the knowledge of professional ethics and community management. Students will become aware of wider social roles played by translators and interpreters.
Restriction: TRANSLAT 601, 602, 704, 706
1198
TRANSLAT 715
: Audiovisual Translation2022 Semester One (1223)
Equips students with theoretical and practical dimensions of audiovisual translation (AVT). Examines the rapid development of AVT in recent times that encompasses media and information accessibility issues for immigrants, the deaf and hard-of-hearing as well as the blind and visually impaired. Students will gain some hands-on experience of interlingual and intralingual subtitling, facilitated by technology.
Restriction: TRANSLAT 700
1199
TRANSLAT 717
: German Specialised Translation2022 Semester Two (1225)
Develops students’ competence in understanding and producing specialised texts in English and German. Translate materials in a variety of subject areas, such as trade, tourism, science, medicine or finance, and in different text types. Emphasis is on longer texts that require the acquisition of subject knowledge and in-depth terminology research. Introduced to professional ethics.
Restriction: GERMAN 747, 748
1200
TRANSLAT 718
: Japanese Specialised Translation2022 Semester Two (1225)
Develops students’ competence in understanding and producing specialised texts in English and Japanese. Translate materials in a variety of subject areas, such as trade, tourism, science, medicine or finance, and in different text types. Emphasis is on longer texts that require the acquisition of subject knowledge and in-depth terminology research. Introduced to professional ethics.
Restriction: TRANSLAT 747