Graduate Research SchoolNeuromorphic SensingWestern Sydney University Unit Code: 800233.1
Discipline: ALGORITHMS
Student Contribution Band: 2
Level: 6
Credit Points: 10
Assumed Knowledge
Basic knowledge on:
• the physical nature of light
• analogue and digital electrical circuits (filtering, transistor logic)
• computer architectures (Van Neuman architectures, microcontrollers, buses, periphericals (USB, DAC, GPIO), communication protocols)
Unit Enrolment Restrictions
Students must be enrolled in 8124 Master of Applied Neuromorphic Engineering
About this Unit
Neuromorphic sensors offer a new way to electronically sense and process data that have a unique structure based on principles found in biology. Understanding how they operate is integral to their effective use in practical situations, to the development of algorithms, process their data, and to the optimisation of their electronic designs. This unit focuses primarily on neuromorphic vision sensors, which are rapidly being adopted by multiple industries, including exciting applications in automotive and space. Students will develop an in-depth understanding of neuromorphic sensors and the skills to operate a neuromorphic sensor for acquiring data and solving real-world problems. This practical experience is in high demand from both research labs and the industry.
Courses| 8123.1 | Master of Neuromorphic Engineering | CURRENT |
| 8124.1 | Master of Applied Neuromorphic Engineering | CURRENT |
| 8125.1 | Graduate Diploma in Neuromorphic Engineering (exit only) | CURRENT |