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Showing 25 course outlines from 722 matches
551
STATS 747
: Statistical Methods in Marketing2021 Semester Two (1215)
Stochastic models of brand choice, applications of General Linear Models in marketing, conjoint analysis, advertising media models and marketing response models.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 210, 707
552
STATS 762
: Regression for Data Science2021 Semester One (1213)
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
553
STATS 763
: Advanced Regression Methodology2021 Semester One (1213)
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 and 225, and 15 points from STATS 330, 762 and 15 points at Stage II in Mathematics
554
STATS 765
: Statistical Learning for Data Science2021 Semester One (1213)
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
555
STATS 767
: Foundations of Applied Multivariate Analysis2021 Semester One (1213)
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
556
STATS 768
: Longitudinal Data Analysis2021 Semester Two (1215)
Exploration and regression modelling of longitudinal and clustered data, especially in the health sciences: mixed models, marginal models, dropout, causal inference.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 210, 707
557
STATS 769
: Advanced Data Science Practice2021 Semester Two (1215)
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
558
STATS 770
: Introduction to Medical Statistics2021 Semester Two (1215)
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
559
STATS 776
: Estimating Animal Abundance2021 Semester One (1213)
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
560
STATS 779
: Professional Skills for Statisticians2021 Semester One (1213)
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
561
STATS 780
: Statistical Consulting2021 Semester Two (1215)
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
562
STATS 782
: Statistical Computing2021 Semester Two (1215)
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
563
STATS 782
: Statistical Computing2021 Semester One (1213)
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
564
STATS 784
: Statistical Data Mining2021 Semester One (1213)
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
565
STATS 785
: Foundations of Statistical Data Management2021 Semester Two (1215)
SAS statistical software with an emphasis on using SAS as a programming language for purposes of database manipulation, simulation, statistical modelling and other computer-intensive methods.
Prerequisite: 15 points from BIOSCI 209, STATS 201, 207, 208, 707
Restriction: STATS 301
Restriction: STATS 301
566
STATS 786
: Special Topic in Statistical Computing2021 Semester One (1213)
No pre-requisites or restrictions
567
STATS 787
: Data Visualisation2021 Semester One (1213)
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
568
SUSTAIN 100
: Sustainability and Us2021 Semester Two (1215)
What is sustainability? Discusses what sustainability means, and its underpinning values, history and operation within complex physical systems. Students complete a group project to develop skills in collective decision making with a solution focus. Two sustainability issues, such as food and water, are discussed in depth.
No pre-requisites or restrictions
569
SUSTAIN 100G
: Sustainability and Us2021 Semester Two (1215)
What is sustainability? Discusses what sustainability means, and its underpinning values, history and operation within complex physical systems. Students complete a group project to develop skills in collective decision making with a solution focus. Two sustainability issues, such as food and water, are discussed in depth.
No pre-requisites or restrictions
570
SUSTAIN 300
: A Sustainable World2021 Semester Two (1215)
Is it possible to have a sustainable global system? We focus on large scale social institutions including politics, the media, national and international law and economics. Students undertake a group project to develop skills in researching and integrating information from a range of experts and recommending sustainability solutions to policy makers. Two sustainability issues, such as population and plastic, are discussed in depth.
Prerequisite: 30 points passed at Stage II
571
TFCCHEM 91F
: Foundation Chemistry 12021 Semester One (1213)
Introduction to elements, compounds, the periodic table, atomic structure, covalent bonding, molecular shape and polarity. Quantitative chemistry, including balancing equations, calculating moles and particles present, calculation of concentration in mol L-1. Energy and thermo-chemistry. Laboratories include practical skills and qualitative analysis, and simple modelling.
Restriction: CHEM 91F, 91P
572
TFCCHEM 92F
: Foundation Chemistry 22021 Semester Two (1215)
Introduces further principles of chemistry. Physical chemistry and qualitative inorganic analysis, including chemical kinetics and chemical equilibrium. Organic chemistry, including hydrocarbons, oxygen-containing functional groups, isomerism and reaction classifications, acids, bases, buffer solutions and titrations. Laboratories include reactions of hydrocarbon and oxygen-containing organic compounds, chromatography, testing for anions and cations in solution, acid-base titrations.
Restriction: CHEM 92F
573
TFCMATHS 89F
: Mathematics for Arts2021 Semester One (1213)
Aimed at linking mathematics to the world of students who are likely to be non-STEM majors. Includes several important mathematical ideas within historical, environmental, societal, political, financial, justice, entertainment and cultural contexts. The course will also be guided by the interests of its learners as citizens and consumers, who will be encouraged to draw on the mathematics they are already familiar with.
No pre-requisites or restrictions
574
TFCMATHS 91F
: Foundation Mathematics 12021 Semester Two (1215)
This first mathematics course aims to promote an understanding of number skills, including an introduction to algebra. Students will learn how to use simple technology and develop their problem solving abilities.
Restriction: MATHS 91P, 92F
575
TFCMATHS 91F
: Foundation Mathematics 12021 Semester One (1213)
This first mathematics course aims to promote an understanding of number skills, including an introduction to algebra. Students will learn how to use simple technology and develop their problem solving abilities.
Restriction: MATHS 91P, 92F