CECS Professional Skills Mapping

MATH1005 — Discrete Mathematical Models

Note: information provided here is indicative only. For full and current course information view the official page on P&C.

code:	MATH1005
name:	Discrete Mathematical Models
unit value:	6
description:	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 economics and the physical, environmental and life sciences will be used as a vehicle throughout. Topics to be covered include: combinatorics and counting, induction and recurrence relations, graph theory and networks, matrix arithmetic and Markov chains, logic and finite set theory.
P&C:	https://programsandcourses.anu.edu.au/course/MATH1005
course learning outcomes:	Recall, invent or interpret examples of motivation for mathematical constructs introduced in the course and used in discrete mathematics as models of processes in the world Be sufficiently familiar with terminology from discrete mathematics used in the course as to be able to interpret, use and attempt to answer questions involving these words Translate representations of mathematical information between the different formats presented in the course Competently perform mathematical calculations in discrete mathematics using methods presented in the course To an extent determined by each student's needs, interests and input, develop maturity of mathematical reasoning as well as general academic skills such as information literacy, tenacity, communication and collaboration.
assessment:	Mid-semester exam (30%) Tutorials/Assignments (15%) Final examination (55%)

Mapped learning outcomes

learning outcome	1. KNOWLEDGE AND SKILL BASE						2. ENGINEERING APPLICATION ABILITY				3. PROFESSIONAL AND PERSONAL ATTRIBUTES						assessment tasks
learning outcome	1.1	1.2	1.3	1.4	1.5	1.6	2.1	2.2	2.3	2.4	3.1	3.2	3.3	3.4	3.5	3.6	1	2	3
Recall, invent or interpret examples of motivation for mathematical constructs introduced in the course and used in discrete mathematics as models of processes in the world		✓															✓	✓	✓
Be sufficiently familiar with terminology from discrete mathematics used in the course as to be able to interpret, use and attempt to answer questions involving these words		✓															✓	✓	✓
Translate representations of mathematical information between the different formats presented in the course		✓															✓	✓	✓
Competently perform mathematical calculations in discrete mathematics using methods presented in the course		✓															✓	✓	✓
To an extent determined by each student's needs, interests and input, develop maturity of mathematical reasoning as well as general academic skills such as information literacy, tenacity, communication and collaboration.		✓										✓				✓	✓	✓	✓

Course contribution towards the Engineers Australia Stage 1 Competency Standard

This table depicts the relative contribution of this course towards the Engineers Australia Stage 1 Competency Standard. Note that this illustration is indicative only, and may not take into account any recent changes to the course. You are advised to review the official course page on P&C for current information..

1. KNOWLEDGE AND SKILL BASE
1.1
1.2
1.3
1.4
1.5
1.6
2. ENGINEERING APPLICATION ABILITY
2.1
2.2
2.3
2.4
3. PROFESSIONAL AND PERSONAL ATTRIBUTES
3.1
3.2
3.3
3.4
3.5
3.6

Engineers Australia Stage 1 Competency Standard — summary

1. KNOWLEDGE AND SKILL BASE
	1.1	Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
✓	1.2	Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.
	1.3	In depth understanding of specialist bodies of knowledge within the engineering discipline.
	1.4	Discernment of knowledge development and research directions within the engineering discipline.
	1.5	Knowledge of contextual factors impacting the engineering discipline.
	1.6	Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the engineering discipline.
2. ENGINEERING APPLICATION ABILITY
	2.1	Application of established engineering methods to complex engineering problem solving.
	2.2	Fluent application of engineering techniques, tools and resources.
	2.3	Application of systematic engineering synthesis and design processes.
	2.4	Application of systematic approaches to the conduct and management of engineering projects.
3. PROFESSIONAL AND PERSONAL ATTRIBUTES
	3.1	Ethical conduct and professional accountability.
✓	3.2	Effective oral and written communication in professional and lay domains.
	3.3	Creative, innovative and pro-active demeanour.
	3.4	Professional use and management of information.
	3.5	Orderly management of self, and professional conduct.
✓	3.6	Effective team membership and team leadership.

Updated: 18 February 2021/ Responsible Officer: Dean, CECS/ Page Contact: CECS Academic Education Services