Computational Science 2
Undergraduate
Undergraduate
To extend the students knowledge and understanding of some of the laws, principles and theories of physics, chemistry and biology, and to develop an appreciation of how these laws, principles and theories operate in experimental and applied science.
Computational investigations of physical, chemical and biological systems sith an emphasis on materials analysis and using a variety of numerical techniques and software packages. Topics covered may include; spectral analysis, molecular dynamics simulations, modelling continuous systems, Fourier analysis, signal processing, monte-carlo simulation, simulation integrity, renormalisation, image processing, and molecular modelling.
The practical component emphasises the computational modelling of the physical systems covered in the workshop/lecture modules and the analysis of the measured data.
Nil
Completion of two years of a Bachelor of Science or Engineering degree including Computational Science 1 or equivalent computational course.
Nil
Component | Duration | ||
---|---|---|---|
INTERNAL, MAWSON LAKES | |||
Workshop | 1 hour x 13 weeks | ||
Practical | 2 hours x 13 weeks |
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Oral presentations, Research Journal
EFTSL*: 0.125
Commonwealth Supported program (Band 1)
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Fee-paying program for domestic and international students
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* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.