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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.

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