Please note - Swinburne University of Technology

~~501 Signals and Systems
8 credit points
No. of hours per week: four hours
Assessment: examination
Subject description
Signals in time and frequency domains: measurement and
interpretation of spectra, applications of Fourier analysis.
Linear systems: time invariance, impulse response, system
function, causality, system testing, phase and amplitude
responses and time delays, filters.
Digital processing: signal sampling and reconstruction, digital
spectral analysis, DFT and FFT, digital filters, linear prediction
and bandwidth compression.
Noise: averages, signal estimation and detection.
~~509 Physics 5
6 credit points
No. of hours per week: two hours
Assessment: practical work and examination
Subject description
Solid state physics: tunnel diodes, PN photodiodes, PIN
photodiodes, PN diodes to detect protons and alpha particles,
PN diodes to detect gamma radiation, superconductivity,
5.
. superconducting quantum interference devices.
3
~~524 Biophysics (Neurosciences A)
8 credit points
No. of hours per week: four hours
Prerequisites: SP324 and either SP424 or SP425
Assessment: examination, assignments and
practical work
Subject description
Neuro anatomy: spinal cord organisation, histological features,
brain-stem, ~aihwa~s, structures, hemispheres, subcortical
structures, gross and histological dissection.
Receptor functions: information theory, channel capacity,
information transmission, frequency coding, thresholds,
receptive fields, generator potential.
Biophysics of peripheral sensory systems: peripheral receptors,
histology, function, CNS connections, spinal cord mechanisms,
spinal afferent pathways - lemniscal and anterolateral,
thalamic organisation and projections, S1 and S1 1
somatosensory cortex, dysfunction, testing - SEF!
Pain, spinal and brainstem pathways, endogenous opiates,
gating theory, analqesia - TENS, electrical stimulation,
pharmacological interactions.
Psychophysics: scaling, assessment techniques, absolute and
difference thresholds, Weber function, just noticeable
difference, Fechner compression, signal detection, ROC curves.
Motor control: peripheral mechanisms, gamma loop,
coactivation, stiffness regulation, servo mechanisms, motor
cortex, motor potential, control circuits to basal ganglia and
cerebellum, spinal pathways, pathology, skilled movement,
learning, open and closed loop operation.
g
~~510 Scientific Instrumentation A
10 credit points
No. of hours per week: four hours
Prerequisite: SP3410
Assessment: examination assignments and
laboratory reports
Subject description
Lectures on a series of topical aspects of scientific
instrumentation.
A series of three hour experiments in a) networking
computers and instruments together; and b) principles and
applications of optical instruments. Experiments in networking
computers and instruments together to achieve
instrumentation functions: optical instrumentation and
imagery.
5~523 Industry Based Learning
50 credit points
A six-month period of industry based learning occurring as part
of the third year of the course leading to the degree of
Bachelor of Applied Science (Computing and
Instrumentation). Students are supervised by a member of the
academic staff and are required to submit a report to their
employer and to their supervisor. This program is normally
followed end-on by SP623.
Applied Biophysics A
SP525
8 credit points
No. of hours per week: four hours
Prerequisites: SM3415, SP325 and either SP424 or
SP425
Assessment: examination and laboratory reports
Subject description
Physiological control systems: control theory, signal flow
diagrams, fundamental block representations, open-loop gain.
Dynamic responses: Bode and Nyquist analysis, transfer
function discovery- examples of physiological investigations.
Cardiovascular system, mathematical models of the arterial
system.
Respiratory, acidlbase and thermal control.
Multicompartment systems and methods of analysis, models
of membrane systems, channel statistics.
Modelling of endocrine systems.
Volume conductor theory; application to EEG. Neurovolume
conductors, modelling models of brain electrical and magnetic
activity.