Computational Science 2
Course Level Undergraduate
Course Level Undergraduate
                                                        Area/Catalogue
                                                        
PHYS 2005
                                                    
                                                        Course Level
                                                        
Undergraduate
                                                    
                                                        Offered Externally
                                                        
No
                                                    
Course ID
013077
                                                        Unit Value
                                                        
4.5
                                                    
                                                        University-wide elective course
                                                        
Yes
                                                    
                                                        Course owner
                                                        
School of Engineering
                                                    
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 2)
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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.