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Pattern Recognition (8240.2)

Level: Level 4 - Undergraduate Advanced Unit
Credit Points: 3
HECS Bands: 2
Faculty: Faculty of Education, Science, Technology & Maths
Discipline: Academic Program Area - Maths & Technology

Availability

    Syllabus

    This unit aims to provide students with an understanding or machine learning by studying methods to classify data (patterns) based either on a priori knowledge or on statistical information extract from those patterns. The patterns to be classified are usually groups of measurements or observations, defining points in an appropriate multidimensional space. This unit will also provide students with mathematical knowledge, including fuzzy logic and other skills, that are needed to support their concurrent and subsequent engineering studies.

    Learning Outcomes

    DESCRIPTION:

    1.understand basic concepts of machine learning; understand basic mathematics and fuzzy logic and other necessary tools; carry out the basic techniques and algorithms using learned concepts such as face recognition, and other computer-aided diagnosis (CAD) systems;

    2.understand an intriguing problem in pattern recognition is the relationship between the problem to be solved (data to be classified) and the performance of various pattern recognition algorithms (classifiers); apply the techniques and algorithms to solving problems and to mathematically model simple applications from engineering.

    Contact Hours

    up to 4 hours per week, 3L + 1T

    Prerequisites

    Software Technology 1 and Software Technology 2 and Object Oriented Software Design.


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