Specialist - Engineering
Unit of study table (Table R)
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition |
|---|---|---|
| BMET5963 Microfluidics in Healthcare |
6 |
A Basic fluid dynamics (e.g. AMME2261 or AMME2200), a familiarity with biological concepts (e.g. BMET1961) |
| CHNG5003 Green Engineering |
6 |
A Completion of 72 credit points in science, engineering or equivalent N SUCH3003 |
| CHNG5008 Nanotechnology in Chemical Engineering |
6 |
A 12 credit points CHEM2XXX |
| CIVL5701 Transport Networks |
6 |
A CIVL2700 or CIVL9700 |
| CIVL5999 Advanced Research and Analysis |
6 |
A (CIVL2201 or CIVL9201) and (CIVL2611 or CIVL9611) and (CIVL2410 or CIVL9410) |
| COMP5045 Computational Geometry |
6 |
A COMP3027 or equivalent and Discrete mathematics and probability (e.g. MATH1064 or equivalent) P COMP9123 or COMP2123 or COMP2823 N COMP4445 |
| COMP5046 Natural Language Processing |
6 |
A Knowledge of an OO programming language N COMP4446 |
| COMP5318 Machine Learning and Data Mining |
6 |
A Experience with programming and data structures as covered in COMP2123 or COMP2823 or COMP9123 (or equivalent unit of study from different institutions). Discrete mathematics and probability (e.g. MATH1064 or equivalent); linear algebra and calculus (e.g. MATH1061 or equivalent) N COMP4318 or OCMP5318 |
| COMP5329 Deep Learning |
6 |
A COMP4318 or COMP5318 N COMP4329 or OCMP5329 |
| COMP5424 Information Technology in Biomedicine |
6 |
A Experience with software development as covered in SOFT2412 or COMP9103 or COMP9003 (or equivalent UoS from different institutions) N COMP4424 |
| COMP8328 Advanced Machine Learning |
6 |
A COMP4318 or COMP5318 or COMP3308 or COMP3608 N COMP5328 or COMP4328 |
| CSYS5010 Introduction to Complex Systems |
6 |
|
| DATA5207 Data Analysis in the Social Sciences |
6 |
N DATA4207 |
| ELEC5307 Advanced Signal Processing with Deep Learning |
6 |
A Mathematics (e.g., probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++) |
| ENGG5206 Exponential and Emerging Technologies |
6 |
A Minimum 24 credit points of 3000 level units |
| INFO5993 Computer Science Research Methods |
6 | N INFO4990 |
| INFO5994 Advanced Topics in Computer Science |
6 |
|
| MECH5311 Microscopy and Microanalysis of Materials |
6 | P AMME1362 or AMME2302 or AMME9302 or CIVL1110 or CIVL2110 or equivalent study at another institution |
| MTRX8700 Foundations of Robotics Research |
6 | A A demonstrated programming ability, familiarity with concepts in sensing and control systems and a background in either CS, Mechatronics or Electrical/Electronic Engineering |
