Graphs, Diagraphs & Networks

Unit Outline (Higher Education)

   
?   Display Outline Guidelines      


Effective Term: 2024/20
Institute / School :Institute of Innovation, Science & Sustainability
Unit Title: Graphs, Diagraphs & Networks
Unit ID: MATHS2012
Credit Points: 15.00
Prerequisite(s): Nil
Co-requisite(s): Nil
Exclusion(s): Nil
ASCED: 010101
Other Change:  
Brief description of the Unit
The focus of this unit will be on studying the fundamentals of Graph Theory and on modelling real world problems using both directed and undirected graphs. Students will study the structure and properties of graphs, as well as the techniques to analyse a variety of applications.
Grade Scheme: Graded (HD, D, C, P, MF, F, XF)
Work Experience Indicator:
Placement Component: No
Supplementary Assessment:
Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment
Course Level:
Level of Unit in CourseAQF Level(s) of Course
5678910
Introductory                                                
Intermediate                                        
Advanced                                                
Learning Outcomes:
The focus of this unit will be on studying the fundamentals of Graph Theory and on modelling real world problems using graphs, both directed and undirected. In the situations that will be investigated, students will select those features that can be represented as graphs (directed graphs) or networks (weighted graphs and digraphs). After successfully completing this course, students should be able to:
Knowledge:
K1.demonstrate an understanding of the fundamentals of Graph Theory
Skills:
S1.investigate properties of graphs such as degree sequence, diameter, radius, and adjacency matrix
S2.solve graph-theoretic problems
S3.design simple graph algorithms
S4.apply graph-theoretic models to a range of real world situations
Application of knowledge and skills:
A1.recognise real world problems, which can be modelled as graphs, digraphs or networks
A2.use appropriate technology to assist in the solution and investigation of real world problems
Unit Content:

Topics may include:
1. Graphs, basic properties of graphs, subgraphs
2. Eulerian and Hamiltonian graphs
3. Directed graphs
4. Matrix representations
5. Tree structures, counting trees
6. Greedy algorithms, path algorithms
7. Paths and connectivity
8. Menger`s theorem
9. Planar graphs, Euler formula, planarity testing
10. Applications

Graduate Attributes:
 Learning Outcomes AssessedAssessment TasksAssessment TypeWeighting
1.K1, S1-4, A1,A2Individual and/or group exploration in solving problems presented as graphsProjects / Assignments / Presentation 30 - 50%
2.K1, S1-4Review and skills practiceTests / Examinations50 - 70%
Adopted Reference Style:
APA  

Professional Standards / Competencies:
 Standard / Competency
1.Threshold Learning Outcomes - Mathematics: Initial
AttributeAssessedLevel
1 Understanding
1.1 Demonstrate a coherent understanding of the mathematical sciences.
1.1.1 Ability to construct logical, clearly presented and justified arguments incorporating deductive reasoning.YesIntroductory
1.1.2 Understanding of the breadth of the discipline, its role in other fields, and the way other fields contribute to development of the mathematical sciences.YesIntroductory
2 Knowledge
2.1 Exhibit depth and breadth of knowledge in the mathematical sciences.
2.1.2 Well-developed knowledge in at least one sub-discipline of the mathematical sciences.YesIntroductory
3 Inquiry and Problem Solving
3.1 Investigating and solving problems using mathematical and statistical methods.
3.1.1 Ability to formulate and model practical and abstract problems in mathematical and / or statistical terms using a variety of methods.YesIntroductory
3.1.2 Ability to apply mathematical and / or statistical principles, concepts, techniques and technology to solve practical and abstract problems and interpret results critically.YesIntroductory
5 Responsibility
5.1 Demonstrate personal, professional and social responsibility.
5.1.2 Ability to work effectively and responsibly in an individual or team context.YesIntroductory