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Study undergraduate online with RMIT University through Open Universities Australia. Explore all degrees, subjects and short courses now.

Computer Networks

Problem Solving and Programming

Object Oriented Programming

Introduction to Programming and the UNIX Environment

Programming Principles

From Logic to Data Processing

Software Development Studio 1

Programming Concepts

Computational Thinking

Data Driven Web Technologies

This subject is designed to provide you with hands on practical experience developing software in a project environment. You work in teams and will complete projects from inception to implementation.
This subject includes a Work Integrated Learning (WIL) experience in which your knowledge and skills will be applied and assessed in a real or simulated workplace context and where feedback from industry and/ or community is integral to your experience.
As the project teams and projects will be assigned during the first week all enrolled students are advised to engage with the subject from the beginning of week 1.
Please note: This subject is considered to be a capstone subject for the Bachelor of Information Technology degree in which students demonstrate their competency in a (simulated) Work Integrated Learning (WIL) environment.
All students seeking the Bachelor of Information Technology award will need to complete this subject.

Progress a profession in programming. Get hands-on experience and work with teams developing software in a commercial project setting. Integrate formal project management methods. Track and manage project process from concept to implementation.

Programming Project

This subject aims to provide a broad introduction to the fundamentals of data communication and network technology. The emphasis is on higher aspects of data communication from the perspective of computer scientists and information technologists; the subject covers the underlying mechanisms and their characteristics that need to be considered by communicating application software.
Topics include:
<ul><li>principles and reference models of data communication;</li><li>basic operation of communication systems;</li><li>protocols and error handling, and applications in networked environments.</li></ul>

Learn how people, devices, information and services are continuously connected by an evolving data communications network. Gain critical analysis talent, uncover data communication methods, and reveal the drivers for adopting alternative technologies.

Data Communication and Net-Centric Computing

Cloud Computing is a large-scale distributed computing paradigm which has become a driving force for information technology over the past several years. The exponential growth data size in scientific instrumentation/simulation and social media has triggered the wider use of cloud computing services.This course covers topics and technologies related to Cloud Computing and their practical implementations. You should explore different architectural models of cloud computing, the concepts of virtualisation and cloud orchestration. You should gain hands-on experience with various features of popular cloud platforms such as Google App Engine and Amazon Web Service throughout the lectures, tutorials, and laboratory sessions. Advanced cloud programming paradigms such as Hadoop’s MapReduce is also included in the course. You should also learn the concept of modern Big Data analysis on cloud platforms using various data mining tools and techniques. The lab sessions cover cloud application development and deployment, use of cloud storage, creation and configuration of virtual machines and data analysis on cloud using data mining tools. Different application scenarios from popular domains that leverage the cloud technologies such as remote healthcare and social networks will be explained. The theoretical knowledge, practical sessions and assignments aim to help you to build your skills to develop large-scale industry standard applications using cloud platforms and tools.This course focuses on learning emerging issues related to Cloud computing technology. The objectives are:<ul><li>Understand various basic concepts related to cloud computing technologies</li><li>Understand the architecture and concept of different cloud models: IaaS, PaaS, SaaS</li><li>Understand big data analysis tools and techniques</li><li>Understand the underlying principle of cloud virtualization, cloud storage, data management and data visualization.</li><li>Understand different cloud programming platforms and tools</li><li>Have details knowledge on reading and writing in cloud storage</li><li>Be familiar with application development and deployment using cloud platforms</li><li>Create application by utilizing cloud platforms such as Google app Engine and Amazon Web Services (AWS)</li><li>Learn to develop scalable applications using AWS features.</li><li>Learn basic concepts of MapReduce programming models for big data analysis on cloud.</li></ul>

Round off your IT course with an exploration of cloud platforms, apps, and databases. Elevate your coding to include advanced cloud programming. Unpack big data and cloud storage. Complete problem-solving tasks and gain hands-on experience.

Cloud Computing

This course teaches programming principles, skills and practices for modern software development, continuing the study of software design and development in pre-requisite courses. Concepts in this include dynamic memory management, advanced typing and polymorphism, automated build systems, defensive programming, debugging, testing, and adherence to modern coding standards and practices. This course uses the C++ programming language for the practical implementation and practice of these concepts. This course may serve as a foundation for further studies in Information Technology, Computer Science and Software Engineering.

Advanced Programming Techniques

This subject was previously known as “Software Architecture: Design and Implementation”
This subject provides students with an advanced understanding of software development with an emphasis on architecture and design, and how this relates to programming and implementation. Students will explore advanced object oriented concepts and the relationship between design in Unified Modelling Language (UML) and its expression in code and how this is supported by modelling tools and development platforms; parallelism using multi-threading, and first principles client server architecture using socket communications and basic protocols. Students will also explore common object oriented design patterns and their application in domain-specific contexts as well as user interface programming.
The subject builds upon existing programming knowledge using Java as the implementation platform, and assumes students already have a basic understanding of Java programming and basic object oriented concepts.

Explore object orientated concepts for designing software architecture. Learn how UML talks in code backed by multi-threading and modelling tools. Build on your prior knowledge, and use interface programming with Java as the implementation platform.

Further Programming

This course introduces Object-Oriented programming using the Java programming language. This course covers: algorithm development using standard control structures; design methods such as step-wise refinement and object oriented programming; the use of standard Java classes and interfaces; the use of standard APIs; I/O processing; and programming style and code reuse.

Program a future in Object-Orientated Programming using Java classes and interfaces. Create algorithms to specification using standard control structures and step-wise refinement. Reuse code and devise strategies to test new software.

Programming 1

RMIT University Undergraduate Computer science Subjects | Open Universities Australia

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