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Design of Algorithms (COMP20007) // Eligibility and requirements
About this subject
Contact information
Semester 1
Eligibility and requirements
Prerequisites
Option 1
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP10002 | Foundations of Algorithms |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
AND
A minimum of 25 credit points of University-level Mathematics subjects
Option 2
All of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
ECON10005 | Quantitative Methods 1 |
Semester 2 (On Campus - Parkville)
Semester 1 (On Campus - Parkville)
|
12.5 |
COMP10002 | Foundations of Algorithms |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
AND
A minimum of 12.5 credit points of University-level Mathematics subjects
Please note, this rule is exclusive of MAST10012
Option 3
Admission into the MC-SOFTENG Master of Software Engineering
Corequisites
None
Non-allowed subjects
Code | Name | Teaching period | Credit Points |
---|---|---|---|
COMP20003 | Algorithms and Data Structures | Semester 2 (On Campus - Parkville) |
12.5 |
COMP90038 | Algorithms and Complexity |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
433-253 Algorithms and Data Structures
433 298 Algorithms and Data Structures
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 October 2024