Introduction to discrete mathematics and its use in mathematical modelling. Emphasis will be placed on developing facility, technique and use in applications. Modelling of processes and phenomena which occur in the physical, environmental and life sciences, especially computer science, will be used as a vehicle throughout. Topics to be covered include: logic and set theory, combinatorics and counting, probability, induction and recurrence relations, graph theory and networks, matrix arithmetic and Markov chains.Note: This course is co-taught with undergraduate students but assessed separately.
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Requisite and Incompatibility
CECS students must be enrolled in a Graduate Diploma of Computing or a Master of Computing to enrol in this course. Incompatible: MATH1005
Referenced entries (1)
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- MATH1005 · 2027 · saved source not linked
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
Recall, invent or interpret examples of motivation for mathematical constructs used in discrete mathematics as models of processes in the world.
Recognise, define, explain and use terminology and notation from discrete mathematics.
Identify the logical structure of a statement, and then identify the logical structure of an argument that may be used to prove or disprove the statement.
Competently perform mathematical calculations in discrete mathematics using methods presented in the course.
Write simple proofs/construct explicit counterexamples for statements relating to discrete mathematics topics covered in the course.
Use their deep knowledge and understanding of the material presented in the course to formulate responses to complex concrete and abstract problems.
Communicate their understanding and skills in discrete mathematics with colleagues and non-experts and apply their knowledge in an occupational situation.
Published offerings
Future offerings are indicative. Only recognised 2027 sessions with a published class number are offered in the enrolment demo.
| Year | Session | Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|---|---|
| 2027 | First Semester | 3985 | 22 Feb 2027 | 01 Mar 2027 | 31 Mar 2027 | 28 May 2027 | In Person | N/A |
| 2028 | First Semester | 5538 | 21 Feb 2028 | 28 Feb 2028 | 31 Mar 2028 | 26 May 2028 | In Person | N/A |
Complete offering text
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage. The list of offerings for future years is indicative only. Class summaries, if available, can be accessed by clicking on the View link for the relevant class number. 2027 2028 First Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 3985 22 Feb 2027 01 Mar 2027 31 Mar 2027 28 May 2027 In Person N/A First Semester Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary 5538 21 Feb 2028 28 Feb 2028 31 Mar 2028 26 May 2028 In Person N/A
Source evidence (1 saved copy)
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