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Advanced Discrete Mathematics (MAST90030)
Graduate courseworkPoints: 12.5On Campus (Parkville)
Overview
| Availability | Semester 2 - On Campus |
|---|---|
| Fees | Look up fees |
The subject consists of three main topics. The bijective principle with applications to maps, permutations, lattice paths, trees and partitions. Algebraic combinatorics with applications rings, symmetric functions and tableaux. Ordered sets with applications to generating functions and the structure of combinatorial objects.
Intended learning outcomes
After completing the subject students will gain:
- an advanced knowledge of advanced discrete mathematics topics drawn from: Ramsey theory, graph theory, posets and lattices, enumeration, integer partitions, combinatorial designs, and finite geometries;
- the ability to pursue further studies in this and related areas.
Generic skills
In addition to learning specific skills that will assist students in their future careers in science, they will have the opportunity to develop generic skills that will assist them in any future career path. These include:
- problem-solving skills: the ability to engage with unfamiliar problems and identify relevant solution strategies;
- analytical skills: the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of analysis;
- collaborative skills: the ability to work in a team;
- time-management skills: the ability to meet regular deadlines while balancing competing commitments.
Last updated: 6 November 2025
Eligibility and requirements
Prerequisites
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| MAST30021 | Complex Analysis |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
It is recommended that students have completed third year subjects in graph theory and/or discrete mathematics equivalent to one of the following
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| MAST30011 | Graph Theory | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST30012 | Discrete Mathematics | 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: 6 November 2025
Assessment
| Description | Timing | Percentage |
|---|---|---|
Up to 36 pages of written assignments (four assignments worth 9% each)
| During the teaching period | 36% |
A written examination
| During the examination period | 64% |
Last updated: 6 November 2025
Dates & times
- Semester 2
Coordinator Arun Ram Mode of delivery On Campus (Parkville) Contact hours 36 hours comprising 3 one-hour lectures per week. Total time commitment 170 hours Teaching period 28 July 2025 to 26 October 2025 Last self-enrol date 8 August 2025 Census date 1 September 2025 Last date to withdraw without fail 26 September 2025 Assessment period ends 21 November 2025 Semester 2 contact information
Time commitment details
170 hours
What do these dates mean
Visit this webpage to find out about these key dates, including how they impact on:
- Your tuition fees, academic transcript and statements.
- And for Commonwealth Supported students, your:
- Student Learning Entitlement. This applies to all students enrolled in a Commonwealth Supported Place (CSP).
Subjects withdrawn after the census date (including up to the ‘last day to withdraw without fail’) count toward the Student Learning Entitlement.
Last updated: 6 November 2025
Further information
- Texts
Prescribed texts
None
Recommended texts and other resources
TBA
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Science (Mathematics and Statistics) Course Doctor of Philosophy - Engineering Course Ph.D.- Engineering Course Master of Philosophy - Engineering Informal specialisation Mathematics and Statistics - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on study abroad and exchange; students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject. These requirements may be met by equivalent study completed at and approved by your home institution.
Last updated: 6 November 2025