Elements of Data Processing (COMP20008) // Eligibility and requirements
About this subject
Contact information
Semester 1
James Bailey
baileyj@unimelb.edu.au
Semester 2
Chris Ewin
cewin@unimelb.edu.au
Eligibility and requirements
Prerequisites
One of
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| COMP10001 | Foundations of Computing |
Semester 1 (On Campus - Parkville)
Summer Term (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| COMP10003 | Media Computation | Semester 1 (On Campus - Parkville) |
12.5 |
| COMP90059 | Introduction to Programming |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
OR
Admission into one of the following:
- GD-CS Graduate Diploma in Computer Science
- MC-DATASC Master of Data Science
- GD-DATASC Graduate Diploma in Data Science
- MC-SOFTENG Master of Software Engineering
Students who have completed COMP10002 Foundations of Algorithms but neither COMP10001 Foundations of Computing nor COMP10003 Media Computation and who have knowledge of Python are invited to approach the subject coordinator to discuss their possible enrolment into the subject.
Corequisites
Non-allowed subjects
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| INFO20002 | Foundations of Informatics | Not available in 2025 |
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: 4 March 2025