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Discrete Maths and Operations Research (MAST20018)

Undergraduate level 2Points: 12.5On Campus (Parkville)

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Year of offer2019
Subject levelUndergraduate Level 2
Subject codeMAST20018
Semester 2
FeesSubject EFTSL, Level, Discipline & Census Date

This subject introduces the essential features of Operations Research methods, and also introduces the area of Discrete Mathematics with a focus on applications. Operations Research topics include mathematical modelling, linear programming, simplex methods, and duality theory. Discrete Mathematics topics include scheduling, graph theory, assignments and matchings, and fair division. The subject material has a common theme of applications of mathematics in realistic settings encountered in the business world, industry and day-to-day life.

Intended learning outcomes

On completion of this subject, students should:

  • Comprehend the essential features of problems encountered in Operations Research investigations, as well as those encountered in applied Discrete Mathematics;
  • Develop basic skills required to construct formal mathematical models for practical optimisation problems, and those required to analyse settings from real-world applications;
  • Appreciate the extent and limitations of a number of Operations Research and Discrete Mathematics techniques for solving real-world problems.

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.

Eligibility and requirements


One of

Code Name Teaching period Credit Points
MAST10006 Calculus 2
Semester 1
Semester 2
MAST10009 Accelerated Mathematics 2
Semester 2

Plus one of

Code Name Teaching period Credit Points
MAST10007 Linear Algebra
Summer Term
Semester 1
Semester 2
MAST10008 Accelerated Mathematics 1
Semester 1

  • MAST10013 UMEP Maths for High Achieving Students



Non-allowed subjects


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



Four written assignments due at regular intervals during semester amounting to a total of up to 50 pages (20%), and a 3-hour written examination in the examination period (80%).

Dates & times

  • Semester 2
    Principal coordinatorCharl Ras
    Mode of deliveryOn Campus — Parkville
    Contact hours3 x one hour lectures per week, 1 x one hour practice class per week
    Total time commitment170 hours
    Teaching period29 July 2019 to 27 October 2019
    Last self-enrol date 9 August 2019
    Census date31 August 2019
    Last date to withdraw without fail27 September 2019
    Assessment period ends22 November 2019

    Semester 2 contact information

Time commitment details

Estimated total time commitment of 170 hours

Further information

Last updated: 16 November 2018