Part of my Computer Science degree at Curtin University in 2021. My final mark was 75%.
| Curtin University • BSc Computer Science | |||||
|---|---|---|---|---|---|
| 2019 • 1st Year | 2020 • 2nd Year | 2021 • 3rd Year | |||
| Sem 1 | Sem 2 | Sem 1 | Sem 2 | Sem 1 | Sem 2 |
| OOPD |
DSA
UCP |
OOSE
OS |
CG
MAD PL |
HCI |
MP
SEC |
This unit provides an introduction to the general machine perception problem. It covers image data capture and processing (including data compression and biometrics) as well as video processing. Applications covered include speech recognition, 3D object recognition and object tracking. Tools used in machine perceptions are also addressed, including syntactic pattern recognition, string/graph matching, statistical pattern recognition, decision trees (especially the C4.5 algorithm) and neural networks.
A Python OpenCV program to detect and classify building number signs.
Weekly unasessed worksheet questions to demonstrate that week's course content. I don't provide the worksheets that these are based on for copyright reasons so they don't make a lot of sense without context.