Biocomputation
Biocomputation
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A specialisation in Biocomputation will develop your proficiency to utilise advanced computational tools to help solve clinical problems in healthcare.
This specialisation will explore several areas relating to cutting-edge biotechnologies in this field including artificial intelligence and machine learning.
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
|---|---|---|---|
Biocomputation Engineering |
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| Students complete 30 credit points to achieve this specialisation. | |||
| Students must complete a minimum of 24 credit points from the following: | |||
| BMET2925 AI, Data, and Society in Health |
6 | A Familiarity with general mathematical and statistical concepts. Online learning modules will be provided to support obtaining this knowledge N BMET9925 |
Semester 1 |
| BMET3997 Biological Digital Signal Analysis |
6 | A BMET2901 and BMET2925 N BMET9997 |
Semester 1 |
| BMET5790 Introduction to Biomechatronics |
6 | A Knowledge in mechanical and electronic engineering; adequate maths and applied maths skills; background knowledge of physics, chemistry and biology; Some programming capability: MATLAB, C, C++, software tools used by engineers including CAD and EDA packages P (MECH3921 or BMET3921) or MTRX3700 or MTRX3760 or (AMME5921 or BMET5921 or BMET9921) N AMME4790 or AMME5790 |
Semester 2 |
| BMET5933 Biomedical Image Analysis |
6 | A An understanding of biology (1000-level), experience with programming (ENGG1801, ENGG1810, BMET2922 or BMET9922) |
Semester 1 |
| BMET5934 Biomedical Machine Learning |
6 | A BMET2901/9901 or equivalent, and (BMET2925 or BMET9925), and (BMET3997 or BMET9997 or ELEC3305 or ELEC9305) |
Semester 2 |
| BMET5995 Advanced Bionics |
6 | A ELEC1103 and (BMET2922 or BMET9922) N AMME5995 OR AMME5951 OR BMET5951 |
Semester 1 |
| BMET5996 Biomedical Technology Software |
6 | A (BMET2922 or BMET9922) and (BMET3660 or BMET9660) |
Semester 2 |
| Students may complete a maximum of 6 credit points from the following: | |||
| COMP5310 Principles of Data Science |
6 | A Good understanding of relational data model and database technologies as covered in ISYS2120 or COMP9120 (or equivalent UoS from different institutions) N INFO3406 |
Semester 1 Semester 2 |
| COMP5329 Deep Learning |
6 | A COMP5318 |
Semester 1 |
| COMP5349 Cloud Computing |
6 | A Basic knowledge of computer networks as covered in INFO1112 or COMP9201 or COMP9601 (or equivalent UoS from different institutions) |
Semester 1 |
| COMP5427 Usability Engineering |
6 | A Skills with modelling as covered in ISYS2110 or ISYS2120 or COMP9110 or COMP9201 (or equivalent UoS from different institutions) |
Semester 1 |
| Units taken for the specialisation will also count toward requirements of the Biomedical stream. Additional stream elective units should be taken as per the Biomedical stream table. | |||