Overview

Graph theory is a part of discrete mathematics which deals with the interrelationships between a group of objects - in this context a graph is simply a set of nodes together with lines connecting some of them. In addition to their intrinsic interest, graphs are used to model structures as … For more content click the Read more button below.

Portfolio

Office of the Provost

Subject coordinator

Michael Payne

Subject type

Undergraduate

Year level

Year Level 3 - UG

AQF level

Level 7 - Bachelor Degree

Available as elective

Yes

Available to study abroad / exchange students

Yes

Capstone subject

Yes

Academic progress review - Schedule A subject

No

Subject instances

To view instance specific details which include - Assessments, Class requirements and Subject instance coordinators - please select your preferred instance via the drop-down menu at the top right-hand side of this page.

Career ready

Work based learning (placement):No

Graduate capabilities

COMMUNICATION - Communicating and Influencing
INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry

Subject intended learning outcomes

On successful completion you will be able to:
1.
Critically analyse advanced graph theory concepts, including graph colourings, matchings, and graph isomorphisms
2.
Evaluate the properties of various graph classes, such as Eulerian graphs and Hamiltonian graphs.
3.
Investigate advanced graph algorithms, such as network flows and graph connectivity algorithms.
4.
Solve proof-based graph theory problems, demonstrating creativity and critical thinking.
5.
Communicate complex graph theory concepts and solutions effectively through written assignments, oral examination, and in class discussions.