Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
Please note - Swinburne University of Technology
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Subject description<br />
Biophysical techniques: electron microscopy, electron and<br />
proton microbeam analpis, diffraction studies <strong>of</strong> biological<br />
materials, optical methods.<br />
Dielectric studies.<br />
Overview <strong>of</strong> physical methods <strong>of</strong> analysis <strong>of</strong> biological tissue.<br />
5~713 Neurophysiological Techniques A<br />
6.0 credit points<br />
No. <strong>of</strong> hours per week: two hours<br />
Assessment: assignments<br />
A subject <strong>of</strong> the medical biophysics option <strong>of</strong> the Bachelor<br />
<strong>of</strong> Applied Science (Honours) program.<br />
Subject description<br />
Information processing within neural systems. Analysis <strong>of</strong><br />
neural mass field potentials.<br />
g'<br />
Clinical, cortical, subcortical, and EEGlscalp surface recording<br />
techniques.<br />
Spontaneous activity analysis, neuropsychological correlates,<br />
g evoked potentials, time and frequency domain analysis,<br />
-. stimulus classification.<br />
g Origin <strong>of</strong> neuroelectric and neuromagnetic fields.<br />
3<br />
W<br />
sP714 Neurophysiological Techniques B<br />
6.0 credit points<br />
No. <strong>of</strong> hours per week: two hours<br />
Prerequisite: SP713<br />
Assessment: assignments<br />
A subject <strong>of</strong> the medical biophysics option <strong>of</strong> the Bachelor<br />
<strong>of</strong> Applied Science (Honours) program.<br />
Subject description<br />
Signal processing techniques for EEG analysis. Effects <strong>of</strong> CNS<br />
lesions on the EEG.<br />
Signal processing techniques for Evoked Potentials. Evolved<br />
Potentials in clinical neurology - somatosensory, auditory,<br />
visual EPs. Event Related Potentials and cognitive processes.<br />
ERP correlates <strong>of</strong> attentions, language processing, memory<br />
and affect.<br />
EEG and EPIERP changes associated with neuropsychiatric<br />
disorders. Recordings from the peripheral nemus system<br />
recording electric and magnetic fields.<br />
~~715 Metabolic Measurement<br />
6.0 credit points<br />
No. <strong>of</strong> hours per week: two hours<br />
Assessment: assignments<br />
A subject <strong>of</strong> the medical biophysics option <strong>of</strong> the Bachelor<br />
<strong>of</strong> Applied Science (Honours) program.<br />
Subject description<br />
Theoretical basis <strong>of</strong> oxygen consumption measurement,<br />
cardiac output determination by rebreathing techniques,<br />
clinical exercise testing.<br />
SP716 Exercise Biophysics<br />
6.0 credit points<br />
No. <strong>of</strong> hours per week: two hours<br />
Prerequisite: SP715<br />
Assessment: assignments<br />
A subject <strong>of</strong> the medical biophysics option <strong>of</strong> the Bachelor<br />
<strong>of</strong> Applied Science (Honours) program.<br />
Subject description<br />
Gas analysers and sampling systems, flow and volume meters<br />
and timing devices, computer facilities, ergornetry<br />
worklpower assessment, clinical aspects.<br />
SP722 Minor Project<br />
14.0 credit points<br />
NO. <strong>of</strong> hours per week: four hours in first<br />
semester<br />
Assessment: report<br />
A subject <strong>of</strong> the medical biophysics andlor scientific<br />
instrumentation option <strong>of</strong> the Bachelor <strong>of</strong> Applied Science<br />
(Honours) program.<br />
Subject description<br />
An individual research project. Projects require a literature<br />
survey. Results, conclusions and recommendations are<br />
presented in a written report, and a verbal report may also<br />
be required.<br />
SP732 Research Project<br />
25.0 credit points<br />
No. <strong>of</strong> hours per week: four hours for three<br />
semesters<br />
Assessment: dissertation<br />
A subject in the Masters course in Biomedical<br />
Instrumentation.<br />
This subject gives the student the opportunity to apply<br />
subject matter studies in other course subjects to<br />
instrumentation-related problems in a specific field <strong>of</strong><br />
interest. Where possible the projects are industry-sponsored<br />
and have relevance to the student's area <strong>of</strong> employment.<br />
Cooperation between pr<strong>of</strong>essionals in industry andlor health<br />
care and supervising staff at <strong>Swinburne</strong> help develop the<br />
student's competence. Each project requires a literature<br />
survey and theoretical andlor experimental investigation.<br />
Results and conclusions presented in a written dissertation<br />
and verbal presentation.<br />
SP733 Research Project<br />
25.0 credit points<br />
No. <strong>of</strong> hours per week: eight hours<br />
Assessment: dissertation<br />
A subject in the Masters course in Biomedical<br />
Instrumentation.<br />
Subject description<br />
This subject gives the student the opportunity to apply<br />
subject matter studies in other course subjects to<br />
instrumentation-related problems in a specific field <strong>of</strong><br />
interest. Where possible the projects are industry-sponsored<br />
and have relevance to the student's area <strong>of</strong> employment.<br />
Co-operation between pr<strong>of</strong>essionals in industry andlor health<br />
care and supervising staff at <strong>Swinburne</strong> help develop the<br />
student's competence. Each project requires a literature<br />
survey and theoretical andlor experimental investigation.<br />
Results and conclusions presented in a written dissertation<br />
and verbal presentation.<br />
SP751 Neural Network Applications<br />
6.0 credit points<br />
No. <strong>of</strong> hours per week: two hours<br />
Instruction: mixed lectures and laboratory work<br />
Assessment: assignments<br />
A subject <strong>of</strong> the scientific instrumentation option <strong>of</strong> the<br />
Bachelor <strong>of</strong> Applied Science (Honours) program.<br />
Subject description<br />
Theoretical and practical experience <strong>of</strong> a range <strong>of</strong> network<br />
architectures: backpropagation, Boltzman, counterpropagation,<br />
Hamming, Hopfield, linear vector quantisation,<br />
probalistic, neural networks, self organising maps.<br />
Neural networks in instrumentation.<br />
Continuously adaptive networks.