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

Introduction to Programming and the UNIX Environment

From Logic to Data Processing

Software Development Studio 1

Computational Thinking

Modern software development is a multi-billion dollar industry, where problem-solving skills and solid understanding of programming techniques and practices are vital for producing high quality software. Building core knowledge for the study of computer science, this subject introduces you to techniques for computer program development. You will gain experience using a high-level programming language, and UNIX-type operating systems for developing and debugging computer programs. Honing skills for structured problem solving, you will develop and implement algorithms that break complex problems down into their component tasks and procedures. You will also explore the social implications, ethics and professional practice for IT. Your learning is reinforced throughout with practical exercises that challenge you with interesting problems. Topics include control structures, data types, algorithm design and analysis, basic hardware components and a user view of operating systems.

Take a structured approach to solving complex problems. Build foundation knowledge for further study of computer science. Learn to use UNIX-type operating systems to develop and debug programs. Get involved in practical exercises and assignments.

Experience the power of programming with an introduction to computational thinking and the fundamental concepts of programming, sensors, data and robotics. Ideal if you have not previously studied programming, or you want to broaden your scope, this subject uses visual languages, JavaScript and programmable game environments to introduce concepts quickly, enabling you to build powerful programs and creations. Using programming concepts as a foundation, you will control bots in games and robot simulations. You will also explore topics in mark-up languages (e.g. HTML), natural language processing (how machines can process human language), and asynchronous programming (how robots, agents, and devices can communicate and coordinate). The subject is designed to prepare you for the study of professional programming languages in computer science or information technology degrees.

Learn the basics of computational thinking. Cover the fundamentals of programming, sensors, data, and robotics. Start using text-based languages like JavaScript.

Object-oriented programming is one of several popular programming paradigms in use today. It is based around the concept of &#39;classes&#39; and their instances, known also as &#39;objects&#39; and their interactions. Objects contain both data, called attributes, and code, known as methods. This subject introduces you to techniques for computer program development using Java, an object-oriented programming language. You will explore topics that cover the breadth of this coding style, building a well-rounded understanding of its underlying concepts. These include classes, objects, encapsulation, inheritance, polymorphism, single and multidimensional arrays, file input/output, decision structures and loops. You will also examine programming language features for parameter passing, exception handling, and simple user interface development. With skills in object-oriented programming, you will be equipped to generate clean and efficient code with diverse practical applications.

Object Oriented Programming

The world now runs on data. If knowledge is power, data science is increasingly how we discover that knowledge. With limitless possibilities for exploration and innovation, it is a field driven by discovery and communication. This subject introduces you to data science using simple and efficient toolkits in Python. You will explore various datasets and apply machine learning algorithms to them. In doing so, you will gain an understanding of data processing workflows, exploration, and visualisation, as well as a conceptual understanding of many of the algorithms themselves. Designed to be exploratory and collaborative, the subject offers you invaluable insights into a rapidly evolving field with diverse and increasingly important applications.

Data Science Studio 1

Are you interested in learning skills in technology and scientific data modelling that can help you to stand out in your career, but lack programming experience?  This subject provides you with an introduction to scientific programming, using problem-based learning and hands-on, practical exercises.  Delving into fundamental programming concepts that are invaluable in a scientist&#39;s tool kit, the unit is designed to help you hone the skills needed to use and apply common techniques used in modern scientific programming. These include data analysis, advanced graphs and image analysis.  You will develop programs in MATLAB, applying these to a wide range real-world of topical and emerging issues in the physical and life sciences.

Introduction to Scientific Programming

In an era of rapid technological innovation, data and the capacity to process it are the most valuable assets in many fields. Studying this subject, you will learn how data is represented, stored and processed in computer systems. Extending your high-level technological literacy, the subject introduces you to a way of thinking that uses abstraction to move from low level hardware concepts to higher level programming concepts. Working through the natural progression of related concepts in computer programming, you will first explore how circuits can implement logic, then how logic lets us implement computer architecture (memory, processors), and how assembly language lets us write programs that manipulate data, before circling back to the relationship between programs and logic.

Get an introductory understanding of the links between logic, reasoning, data, and computation. Learn how data is represented, stored, and processed in computer systems. 

The internet has changed the way people interact with, and think about, computers. From online news to social networking sites, the diversity of ways that we utilise the internet is extensive; yet how many people understand how this technology works and how to create a web page?  This subject introduces you to the fundamentals and modern concepts of web development, equipping you with skills that are increasingly valuable as the internet becomes further embedded in our lives.  You will learn how web servers and clients communicate using Hypertext Transfer Protocol (HTTP). You will also explore the formal languages used for web site development: HyperText Markup Language (HTML) used to generate the structure of web pages, Cascading Style Sheets (CSS) to apply stylistic features that enhance web page presentation, and Javascript and jQuery to provide dynamic user interactions.  Techniques such as server-side scripting (PHP) with session management are also discussed.

Web Programming

A programming language gives us a way of modelling and expressing a computer program. As programs tackle more complex tasks using big, fast, and distributed flows of data, the need for more powerful ways to think about and express our programs will only increase.  This subject introduces you to the paradigms (the particular styles or features) behind advanced programming languages used by many of the world’s leading software companies.  Taught predominantly using Scala, a mixed-paradigm language that will familiarise you with many concepts, the subject helps you to develop knowledge and technical skills with broad practical applications.  You will learn about functional programming, different type systems, and techniques for asynchronous, streaming and reactive programming. These techniques are useful across a wide spectrum – from making small problems simple, to modern event-based web systems, to “fast data” systems that process large flows of asynchronous data.

Functional and Reactive Programming

In a data driven world, your ability to keep pace with new trends in software development relies on a sound understanding of the fundamental data structures used in programming.  Emphasising both algorithm design and efficiency analysis, in this subject you will explore practical data structure implementations using object-oriented programming in C++.  Data structure implementations include linked lists, binary search trees, hash tables, stacks and queues, heaps and expression trees. Recursion and efficient sorting algorithms are also covered.  Extend your capacity to use a structured approach to find solutions for the complex challenges you may encounter in a range of programming scenarios, and hone invaluable technical and analytical skills.

Data Structures and Algorithms

Modern software development is highly collaborative. Teams of developers work together to take software from conception into production and continue to develop the software based on feedback from its use. This introduces a number of engineering challenges, as teams must ensure that the program works and is well designed, even while it is being modified by many people at once. Many of the software engineering practices and tool chains that are core to a developer&#39;s work are designed to support the collaborative nature of programming. In this subject you will work in teams to develop different features of a class-wide development project, to learn how software engineers design, build, deploy, and modify large programs together. Introducing you to key concepts, including distributed version control, continuous integration, deployment, and delivery practices, as well as agile development and software design, the unit will help you to hone invaluable applied skills.

Software Development Studio 2

University of New England Undergraduate Computer science Subjects | Open Universities Australia

Course results for University of New England Undergraduate Computer science Subjects

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