300-level

SENG301
Software Engineering II
Description
SENG301 builds on the material introduced in SENG201 (Introduction to Software Engineering) and is intended as a companion course to SENG302 (Software Engineering Group Project). The focus is on quality and how to model, measure and maintain it as project size and complexity scale up.
Occurrences
Semester One 2024
Points
15 points
Prerequisites

MATH302
Partial Differential Equations
Description
An introduction to the methods of solution for partial differential equations and to their applications.
Occurrences
Semester One 2024
Points
15 points
Prerequisites
Restrictions
MATH361, EMTH391, EMTH413

MATH303
Applied Matrix Algebra
Description
A continuation of 200-level linear algebra with computational and theoretical aspects and applications.
Occurrences
Semester Two 2024
Points
15 points
Prerequisites
One of MATH203, EMTH211, or DATA203
Restrictions
MATH352, EMTH412

FINC305
Financial Modelling
Description
The main purpose of this course is to combine a deeper understanding of selected topics in corporate finance and portfolio models with spreadsheet skills at an appropriate level for financial analysts. This course makes extensive use of EXCEL.
Occurrences
Semester One 2024
Points
15 points
Prerequisites
, (1) FINC201; and (2) MATH101 or MATH102 or MATH199
Restrictions
Co-requisites

FINC311
Investments
Description
The theoretical principles of investments and their applications to investment policy.
Occurrences
Semester One 2024
Points
15 points
Prerequisites
, (1) FINC201; and (2) MATH101 or MATH102 or MATH199
Co-requisites

FINC312
Derivative Securities
Description
An introduction to the use, analysis and pricing of derivative securities, including options, futures and swaps.
Occurrences
Semester One 2024
Points
15 points
Prerequisites
, (1) FINC201; and (2) MATH101 or MATH102 or MATH199
Restrictions
Co-requisites

STAT314
Bayesian Inference
Description
This course explores the Bayesian approach to statistics by considering the theory, methods for computing Bayesian solutions, and examples of applications.
Occurrences
Semester Two 2024
Points
15 points
Prerequisites
30 points from 200 level MATH, EMTH, STAT202-299, DATA203 and PHYS285

STAT315
Multivariable Statistical Methods and Applications
Description
Detailed study of multivariate methods. Application of multivariate methods, test statistics and distributions.
Occurrences
Semester One 2024
Points
15 points
Prerequisites
15 points from STAT200-299 and a further 15 points from DATA200-299 or STAT200-299.

STAT317
Time Series Methods
Description
Analysis of sequentially collected data including data modelling and forecasting techniques.
Occurrences
Semester Two 2024
Points
15 points
Prerequisites
15 points from MATH102, EMTH118 or MATH199; and another 30 points from 200 level STAT or ECON213
Restrictions

STAT318
Data Mining
Description
Parametric and non-parametric statistical methodologies and algorithms for data mining.
Occurrences
Semester One 2024
Points
15 points
Prerequisites
15 points from MATH102, EMTH118 or MATH199; and another 30 points from 200 level STAT, COSC, DATA, MATH or EMTH

ECON321
Microeconomic Analysis
Description
This course follows on from the Intermediate Microeconomics sequence taught at stage 2. The primary focus is on applying fundamental mathematical tools and techniques for modelling standard microeconomics problems involving consumers, producers and markets. Techniques in both algebra and calculus will be used. The main objective is to show students how a selection of standard microeconomics problems can be modelled in terms of constrained optimisation, solving those problems, and above all, analysing the solutions.
Occurrences
Semester One 2024
Points
15 points
Prerequisites
(1) ECON207; and (2) MATH102 or MATH199; and (3) 15 points from STAT RP: ECON208

ECON323
Time Series Methods
Description
Analysis of sequentially collected data including data modelling and forecasting techniques.
Occurrences
Semester Two 2024
Points
15 points
Prerequisites
(1) ECON213; and (2) ECON207; and (3) MATH102
Restrictions

ECON324
Econometrics
Description
This course teaches advanced skills in practical econometrics. Coverage will include the following topics: OLS, FGLS, robust standard errors, panel data, Stata programming, Monte Carlo experiments, time series, nonstationarity, and error correction models. While the course will present some theory, the emphasis in this class is on doing. A distinctive feature is that we will illustrate key concepts using computer simulations so that students can "see" the practical consequences of the issues they are studying.
Occurrences
Semester One 2024
Points
15 points
Prerequisites
(1) ECON213 or STAT202; and (2) MATH102 or MATH199

ECON331
Financial Economics
Description
The economics of finance with applications to asset valuation, corporate finance, and portfolio management.
Occurrences
Semester Two 2024
Points
15 points
Prerequisites
, (1) FINC201; and (2) MATH102 or MATH199; RP: MATH103
Restrictions
Co-requisites

MATH353
Computational Mathematics and Applications
Description
This course looks at a variety of methods for solving important computational problems that arise in science, engineering and commerce. In addition to applications, we will look at the methods' basic theoretical properties (stability, accuracy, computational complexity, convergence). During the course, you will learn about the performance of the methods through examples and counterexamples that highlight their pros and cons.
Occurrences
Semester One 2024
Points
15 points
Prerequisites
1) Either MATH201 or EMTH210; AND 2) One of MATH202, MATH203, MATH240, MATH270, EMTH211 or EMTH271. With the permission of the Head of School a high grade in either MATH201 or EMTH210 will suffice.
Restrictions

COSC367
Artificial Intelligence
Description
This course introduces major concepts and algorithms in Artificial Intelligence. Topics include problem solving, reasoning, games, and machine learning.
Occurrences
Semester Two 2024
Points
15 points
Prerequisites

Not Offered Courses in 2024

300-level

FINC345
The Economics of Risk and Insurance
Description
This course analyses the nature and problem of risk and uncertainty and consumers' preferences regarding risk and risk taking. It examines the basic principles of risk and insurance, and the description of the characteristics of main types of insurance (both life and general). The course includes an introduction to the structure and operation of insurance markets (both local and international), and the function of insurance firms within the financial system. It covers the general principles of insurance underwriting and pricing, claims management and claims reserving process within the regulatory regime of the insurance industry.
Occurrences
Not offered 2024, offered in 2017
For further information see FINC345 course details
Points
15 points