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Advanced topics in intelligent information processing ( 6 points, SCA Band 2, 0.125 EFTSL)


Leader: Hons Course Coordinator

Clayton First semester 2005 (Day)
Clayton Full year 2005 (Day)
Clayton S2-S1-02 2005 (Day)
Clayton S2-S1 2005 (Day)
Clayton Second semester 2005 (Day)

Synopsis: Methods from artificial intelligence (AI) form the basis for many advanced information systems. This unit introduces advanced AI methods and their applications in information systems. Within the framework of this unit, the student can choose between a variety of modules in the broad area of Intelligent Information Systems, including: Machine Learning, Data Mining and Knowledge Discovery, Automated Reasoning, Knowledge-based Systems Search, Constraint Solving and Optimization, Natural Language Processing, Computer Vision and Pattern Recognition. Some of these topics may not be offered in every year. For further details, refer to the courseware web pages.

Assessment: Assignment and Examination, relative weight depending on topic composition. When no exam is given students will be expected to demonstrate their knowledge by solving practical problems and maybe required to give an oral report. This variability is designed to give flexibility to the lecturer to decided the most appropriate form of examination for a given choice of topics.

Contact Hours: Lectures: 39 hours; Laboratory: up to 40 hours

Prerequisites: Completion of the Bachelor of Computer Science or Bachelor of Digital Systems or Bachelor of Computing at an advanced level equivalent to the entry requirements for the Honours program. Students must also have enrolment approval from the Honours Coordinator. Individual modules in the framework of this unit may have additional prerequisites. For detailed information please contact the Honours coordinator.

Corequisites: Individual modules in the framework of this unit may have additional corequisites.

Prohibitions: Individual modules in the framework of this unit may have additional prohibitions.