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Statistical Signal Processing (ELEN90079) // Eligibility and requirements
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
Email: ewey@unimelb.edu.au
Eligibility and requirements
Prerequisites
Enrolment in a research higher degree (MPhil or PhD) in Engineering or approval from the subject coordinator.
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
Knowledge of probability and random models equivalent to:
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| ELEN90054 | Probability and Random Models | Semester 1 (On Campus - Parkville) |
12.5 |
Knowledge of signals and systems concept, equivalent to:
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| ELEN30012 | Signals and Systems |
Semester 2 (On Campus - Parkville)
Winter Term (On Campus - Parkville)
|
12.5 |
| ELEN90058 | Signal Processing | Semester 2 (On Campus - Parkville) |
12.5 |
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022