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1996 Swinburne Higher Education Handbook

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E097 Master of Engineering<br />

(Biomedical Engineering)<br />

This course is intended for those interested in designing and<br />

developing biomedical equipment and/or practising the<br />

skills related to clinical biomedical engineering. The<br />

program includes both engineering and biomedical content<br />

to suit a variety of backgrounds.<br />

Course structure<br />

Year 1<br />

Semester I (mid-year entry)<br />

EE530<br />

Credit points<br />

Analogue Electronic Instrumentation<br />

and Techniques 12.5<br />

SP532 Clinical Monitoring Techniques 12.5<br />

SP541 Signal and Image Processing 12.5<br />

Electives<br />

SP537 Medical Imaging 12.5<br />

SP538 Clinical Engineering Management 12.5<br />

SP539 Biomechanics and Rheology 12.5<br />

EE714 Digital Electronics Techniques 12.5<br />

EE730 Engineering Software 12.5<br />

EE732 Computer Architecture and Hardware 12.5<br />

EE740<br />

Semester 2 & 3<br />

SP531<br />

Project Management and Research<br />

Methods 12.5<br />

Biophysical Systems and Techniques<br />

(Biosensors) 12.5<br />

SP555 Introduction to Biophysical Systems 12.5<br />

Electives<br />

EE781 CAD & High Level Synthesis 12.5<br />

EE782 Computer Systems & Software<br />

Engineering 12.5<br />

EE783 Digital Signal Processing Systems<br />

Engineering 12.5<br />

EE786 Advanced Image Processing 12.5<br />

SP534<br />

Neurophysiological Monitoring<br />

Techniques 12.5<br />

SP542 Optical Instrumentation 12.5<br />

SP544 Nuclear Instrumentation 12.5<br />

SP563 Biophysics of Exercise 12.5<br />

EE760 Minor Project 25.0<br />

EE762 Major Project 50.0<br />

Note: Students must complete 50 credit points in<br />

Semester l and l50 credit points in Semester 2<br />

and 3 including either EE760 07 EE762.<br />

M086 Master of Engineering<br />

(Computer Integrated Manufacture)<br />

by coursework and thesis<br />

The aim of the course is to prepare graduates from<br />

engineering and the physical sciences for future roles in the<br />

development and application of computer integrated<br />

manufacturing in Australian manufacturing industry. Such<br />

graduates must have proved academic ability.<br />

Computer integrated manufacturing is an important and<br />

effective means of achieving productivity improvements<br />

which must be seriously considered by manufacturing<br />

companies wishing to become and remain competitive, and<br />

which should be encouraged in the national interest so that<br />

application of appropriate technology can improve our<br />

ability to compete on international markets and against<br />

cheaper, high quality imports in the domestic market.<br />

Entrance requirements<br />

Candidates for the Master of Engineering (Computer<br />

Integrated Manufacture) shall satisfy the following<br />

requirements:<br />

They should have a four year engineering degree or<br />

equivalent. Applicants with other qualifications and<br />

experience which are considered by the Divisional Board to<br />

be of satisfactory standard will also qualify for entry.<br />

Applicants not holding an appropriate four year degree or<br />

equivalent may initially be admitted to the Graduate<br />

Certificate (CAD/CAM) or Graduate Diploma (CM)<br />

program.<br />

Duration of course<br />

The course is a one and a half year equivalent full-time<br />

program incorporating the academic program for the Graduate<br />

Diploma in Computer Integrated Manufacture. The minimum<br />

period of enrolment for the Master of Engineering program is<br />

three semesters. Further options include a three and four year<br />

part-time format.<br />

Students are not normally permitted to extend their course<br />

enrolment beyond five years, except when leave of absence has<br />

been granted.<br />

Course structure<br />

Semester I<br />

Credit points<br />

MM641 Computer Aided Design 15.0<br />

MM642 Manufacturing Management Systems 20.0<br />

MM643 Robotics and Automation 7.5<br />

MM644 Numerical Control 7.5<br />

Semester 2<br />

MM651 Intelligent Manufacturing Systems 7.5<br />

MM652 Computer Control and Sensing 20.0<br />

MM653 Expert Systems Simulation and<br />

Modelling 7.5<br />

MM654 Computer Modelling and FEA 15.0<br />

Semester 3<br />

Project Work 50.0

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