1. Handbook
  2. Subjects
  3. Statistical Signal Processing
  4. Eligibility and requirements

Statistical Signal Processing (ELEN90079) // Eligibility and requirements

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Eligibility and requirements

Prerequisites

Admission into 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)
Semester 1 (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: 30 January 2024