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: All sciences are increasingly relying on computational support. The growth of many branches of science has only become possible with efficient computational methods. The common basis of such methods are numerical methods and high performance computing. Under the umbrella of this unit, the student can specialize in a particular areas of computational science by choosing from different modules including: numerical methods; high performance and parallel computing;optimization and operations research; bioinformatics; simulation; visualization and modelling. 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 may be 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: Lecture: 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.