Unit(s) Tutoring In / Maths Access Centre

Queensland University of Technology / School of Software Engineering & Data Communications
- Summer Semester, 2005

  • ITN161 - Information Security For IT Professionals [Post Graduate Course]
    This unit introduces information security: aspects of the protection of information assets and explains why IT professionals must understand information security and its applications. Information security goals including confidentiality, integrity, availability, authentication and non-repudiation are described. Risk factors impacting on the security of information assets are identified and discussed. Methods of protecting information are outlined, including access control, cryptography, and network security mechanisms. Security management standards and security evaluation are also addressed. Discussions of information security issues emphasise the high standard of ethical conduct expected of an IT industry professional, particularly in the area of information security.

Queensland University of Technology / School of Mathematical Sciences and School of Economics and Finance
- Semester 2, 2005

  • BSB 122 - Quantitative Analysis And Finance
    To maintain the competitiveness of, and add value to, an organisation, today's managers have to make critical business and financial decisions. This unit is a preliminary study of the techniques for analysing business information, and will provide you with a framework for understanding the fundamentals of business and financial decision making. Specifically, the following issues will be explored: the relationship between successful business decisions and high quality business information, methods for organising, analysing, and interpreting data, dealing with uncertainty in data analysis, making finance decisions, and fundamental ideas in finance.

  • MAB 209 - Maths for Software Communication
    Introductory probability and its applications; Sets and functions; Discrete/Continuous random variables and probability distributions; Measures of central tendency and spread; Introduction to matrices and matrix arithmetic; Applications of matrices; Stochastic processes; Introduction to queuing theory; Euclidean algorithm, congruences and hashing; Euler's function and the RSA algorithm; Boolean algebra and its applications; Applications of boolean functions.

Queensland University of Technology / School of Mathematical Sciences
- Semester 1, 2005

- Semester 2, 2004

  • MAB 209 - Maths for Software Communication

Queensland University of Technology / School of Mathematical Sciences
and School of Software Engineering and Data Communications - Semester 1, 2004

Queensland University of Technology / School of Software Engineering and Data Communications - Semester 2, 2003

  • ITB 527 - Network Technologies
    This unit studies the enabling technologies of computer networking. Relevant examples are used to illustrate the appliction of these technologies. Through the unit a number of techniques for analysing and comparing the performance of the different technologies will be introduced.

    Topics covered in this unit include: a description of different tranmission media and their influence on the overlying network technologies, the mechanisms required for reliable point-to-point and multi-point communications, the technologies that allow sharing of transmission media, and non-IP networking technologies.

  • ITB 523 - Data Security
    This unit introduces managerial and technical aspects involved in the protection of information assets. Information security goals including confidentiality, integrity, availability, authentication and non-repudiation are described. Abstract security models are examined. Risk factors impacting on the security of information assets are identified and discussed. Methods of protecting information are outlined, including access control, cryptography, and network security mechanisms. Applications of public key cryptography are examined, and issues related to public key infrastructures are identified. Security management standards and security evaluation are also addressed.

University of South Australia / School of Computer Information Science and School of Mathematics & Statistics - Semester 1 and 2, 2002

  • Object-Oriented Data Modelling
    The role of data models in object-oriented system development: Conceptual design plus design guidelines - UML static structure diagrams; guidelines on choosing between alternative data model constructs. Learning to learn - translation between UML and Entity-Relationship diagrams. Logical design plus design guidelines: Relational model, when and how to normalise; mapping UML diagrams into object-oriented and relational database schemas. Physical design plus design guidelines - Cluster and index structures, general rules of thumb on selection and placement of clusters and indices. Interactive SQL. E/SQL or JDBC. Learning to learn: OSQL. Awareness of the features of database management systems (three-level architecture and data independence, concurrency control, recovery, storage management and access control) as far as needed to decide whether to use a database management system and to access a database system.

  • Statistics and Research Methods
    Overview of research methodology, nature of scientific theory and knowledge, formulating hypotheses, measurement processes, reliability and validity, levels of measurement, specificity and sensitivity of diagnostic processes, types of experimental design, internal and external validity, study power. Using a software package for entering and analysing data, describing data with graphical and numerical summaries, statistical inference including statistical modelling, the normal distribution, sampling distributions, choice of statistical techniques including non-parametric techniques, hypothesis testing, p values, confidence intervals. A range of statistical procedures including reliability assessment using the ICC and SEM, correlation and regression, t tests and their non-parametric alternatives, chi square test, analysis of variance for same and different course designs, factorial analysis of variance including repeated measures.

  • Engineering Mathematics 1N (1st year Engineering Maths)
    Computer software, MATLAB. Differential and integral calculus Newton's method. Definite Integrals, fundamental theorem of calculus, techniques of integration, applications in engineering. Introduction to differential equations. Multivariable Functions. Systems of Linear Equations.

  • EE Mathematics 2 (3rd year Engineering Maths)
    Complex variable analysis. Special functions, Gamma function, Bessel function. Poisson, normal, binomial and exponential distributions, expected values, moments. Probability and random variables, functions of random variables, correlation, convolutions. Random signals, Blackman-Tukey procedure for spectral estimation, narrow-band processes. Discrete time Markov chains, Queueing systems, telephone traffic systems.