Master of Information Technology

AIMS

The subject will introduce the basics of computer networks to students through a study of layered models of computer networks and applications. The first half of the subject deals with data communication protocols in the lower layers of OSI and TCP/IP reference models. The students will be exposed to the working of various fundamental networking technologies such as wireless, LAN, RFID and sensor networks. The second half of the subject deals with the upper layers of the TCP/IP reference model through a study of several Internet applications.

INDICATIVE CONTENT

Topics covered include: Introduction to Internet, OSI reference model layers, protocols and services, data transmission basics, interface standards, network topologies, data link protocols, message routing, LANs, WANs, TCP/IP suite, detailed study of common network applications (e.g., email, news, FTP, Web), network management, current and future developments in network hardware and protocols.

AIMS

The aim of this subject is for students to develop familiarity and competence in assessing and designing computer programs for computational efficiency. Although computers manipulate data very quickly, to solve large-scale problems, we must design strategies so that the calculations combine effectively. Over the latter half of the 20th century, an elegant theory of computational efficiency developed. This subject introduces students to the fundamentals of this theory and to many of the classical algorithms and data structures that solve key computational questions. These questions include distance computations in networks, searching items in large collections, and sorting them in order.

INDICATIVE CONTENT

Topics covered include complexity classes and asymptotic notation; empirical analysis of algorithms; abstract data types including queues, trees, priority queues and graphs; algorithmic techniques including brute force, divide-and-conquer, dynamic programming and greedy approaches; space and time trade-offs; and the theoretical limits of algorithm power.

AIMS

The aims for this subject is for students to develop an understanding of approaches to solving moderately complex problems with computers, and to be able to demonstrate proficiency in designing and writing programs. The programming language used is Java.

INDICATIVE CONTENT

Topics covered will include:

• Java basics
• Console input/output
• Control flow
• Defining classes
• Using object references
• Programming with arrays
• Inheritance
• Polymorphism and abstract classes
• Exception handling
• UML basics
• Interfaces
• Generics.

AIMS

The subject introduces key topics in modern information organization, particularly with regard to structured databases. The well-founded relational theory behind modern structured query language (SQL) engines, has given them as much a place behind the web site of an organization and on the desktop, as they traditionally enjoyed on corporate mainframes. Topics covered may include: the managerial view of data, information and knowledge; conceptual, logical and physical data modelling; normalization and de-normalization; the SQL language; data integrity; transaction processing, data warehousing, web services and organizational memory technologies. This is a core foundation subject for both the Master of Information Systems and Master of Information Technology.

INDICATIVE CONTENT

This subject serves as an introduction to databases and data modelling from a data management perspective. Database design, from conceptual design through to physical implementation will be covered. This will include Entity Relationship modelling, normalisation and de-normalisation and SQL. Additionally the use of databases in various contexts will be explored (web based databases, connecting programs to databases, data warehousing, health contexts, geospatial databases).

The Master of Information Technology (MIT) Computing Specialisation is a 200-point, 150-point and 100-point program for those interested in a career in technical IT.

The key aspects of the course are:

• Specialisation in key areas of Information Technology, namely Computing: a focus on theoretical and applied computing, as applied to a range of application areas

• Foundation studies in programming, algorithmics, databases and networking for students with minimal IT background, including exposure to the different areas of specialisation
• Formal studies in project and change management, including risk management, quality assurance and testing
• Optional 25-point industry placement with local IT organisations as part of the course (available on a competitive basis)
• A 25-point project, qualifying students to advance to a PhD.

The Master of Information Technology (MIT) Distributed Computing is a 200-point, 150-point and 100-point program for those interested in a career in technical IT.

The key aspects of the course are:

• Specialisations in key areas of Information Technology, namely Distributed Computing: a focus on the use of industry standard and Internet-based distributed computing technologies in the development of networked enterprise systems and their applications

• Foundation studies in programming, algorithmics, databases and networking for students with minimal IT background, including exposure to the different areas of specialisation
• Formal studies in project and change management, including risk management, quality assurance and testing
• Optional 25-point industry placement with local IT organisations as part of the course (available on a competitive basis)
• A 25-point project, qualifying students to advance to a PhD.

The Master of Information Technology (MIT) Health Specialisation is a 200-point, 150-point and 100-point program for those interested in a career in technical IT.

The key aspects of the course are:

• Specialisation in key areas of Information Technology, namely Health: a focus on the use of IT to process health information for purposes including improved individual health, healthcare, public health and biomedical research, prevention of medical errors and reduced healthcare costs.

• Foundation studies in programming, algorithmics, databases and networking for students with minimal IT background, including exposure to the different areas of specialisation
• Formal studies in project and change management, including risk management, quality assurance and testing
• Optional 25-point industry placement with local IT organisations as part of the course (available on a competitive basis)
• A 25-point project, qualifying students to advance to a PhD.

The Master of Information Technology (MIT) Spatial Specialisation is a 200-point, 150-point and 100-point program for those interested in a career in spatial IT.

The key aspects of the course are:

• Specialisation in a key area of Information Technology, namely Spatial Information: a focus on the spatial information technology,spatial programming and spatial computing, including web-based and mobile services, to advance spatial information products and markets, including mapping, navigation, tracking and community-sourced geographic information.
• Foundation studies in programming, algorithmics, databases and networking for students with minimal IT background, including exposure to the different areas of specialisation.
• Formal studies in project and change management, including risk management, quality assurance and testing.
• Optional 25-point industry placement with local IT organisations as part of the course (available on a competitive basis).
• A 25-point project, qualifying students to advance to a PhD.

OVERVIEW

The Master of Information Technology (MIT) Human-Computer Interaction is a 200-point, 150-point and 100-point program for those interested in a career in technical IT.

The key aspects of the course are:

• Specialisations in key areas of Information Technology, namely Human-Copmputer Interaction
• Foundation studies in programming, algorithmics, databases and networking for students with minimal IT background, including exposure to the different areas of specialisation
• Formal studies in project and change management, including risk management, quality assurance and testing
• Optional 25-point industry placement with local IT organisations as part of the course (available on a competitive basis)
• A 25-point project, qualifying students to advance to a PhD.