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Bachelor of Applied Computing (Mathematics)Assessment (Internat.) Assignments, essays, class presentations, laboratory work, exams. Outline Mathematics is a dynamic discipline and the foundation of the modern technological world. The uses of mathematics are often not seen, but they can be found in many exciting and important endeavours. The Bachelor of Applied Computing (Mathematics) provides you with the necessary skills, knowledge and values to be successful in a variety of computing and mathematical areas. It will also enable you to select an area of specialisation that may be continued at a postgraduate level. Career Opportunities Completing this degree will provide you with a variety of career opportunities in small, medium and large business and government in such areas as research, computing, modelling, finance, project management, consultancy, software engineering, and programming. This course is also well-suited to those who wish to go on to become mathematics and IT teachers at secondary school level. “Maths is the single most useful ability to have in your kitbag to equip you for any eventuality. In any case employers set a lot of store by mathematical ability and more likely to hire someone with a good background in mathematics” (Ross Gittins, Economics Editor, Sydney Morning Herald)
RPL and Credit Transfer International students wishing to apply for RPL and Credit Transfer are required to provide syllabus of previous study undertaken at time of applying for course. Not all courses offer RPL and Credit Transfer. Contact the International Student Programs office at international@ballarat.edu.au Objectives Successful completion of this course will give you the foundation, knowledge and skills to: - Understand, both conceptually and practically, computing technologies and their application to a diverse range of industrial and commercial problems - Demonstrate a sound conceptual framework in computing technologies in order to apply and integrate new developments in these technologies - Demonstrate a high level of industrial relevance and practical application of computing knowledge and techniques - Support your professional development and lifelong learning by having completed a range of non-computing disciplines - Move into postgraduate study in the area of computing or mathematics - Display a professional approach to computing, including an appreciation of the ethics and social implications of the use of computers in society - Communicate and cooperate with others, and work within and contribute to a team environment Requirements The course is based on a number of core units which cover the fundamentals of computing, such as operating systems, procedural and object-orientated programming, multimedia, databases, software engineering and algorithms. One third of the course is selected from units that specialise in mathematics, statistics and optimization. These elective units are selected from the following list: - Artificial Intelligence - Data Mining - Graphs, Digraphs and Networks - Calculus for Optimisation - Numerical Methods of Optimisation - Optimisation Theory - Linear Programming - Upon the Shoulders of Giants - Modelling and Change - Profit, Loss & Gambling - Space, Shape & Design - Logic & Imagination - Modelling Reality - Information Retrieval - Machine Learning - Decision Making 1 or 2 - Multivariate Analysis - Statistical Methods - Forecasting and Statistical Methods - Categorical Data Analysis and Statistical Consulting - Sampling and Sample Surveys - Experimental Design & Analysis - Statistics for Prediction
International students must meet the following basic entry requirements (see below): · Academic entry requirements · English language entry requirements · At least 18 years of age at the time of the student’s proposed commencement of studies at the university
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