Engineering Masters Curriculum Mappings -- Course ENGN8535

# ENGN8535

Course Learning Outcomes
LO1 LO2 LO3 LO4 LO5 LO6
Assessment Tasks A1 X X X X X
A2 X X X X X
A3 X X
A4 X X
A5 X X X X
A6 X
Program Learning Outcomes PO1
PO2
PO3
PO4
PO5
PO6
PO7
Engineers Australia Stage 1 Professional Competencies
Knowledge and Skills Base C1.1
C1.2
C1.3
C1.4
C1.5
C1.6
Engineering Application Ability C2.1
C2.2
C2.3
C2.4
Professional and Personal Attributes C3.1
C3.2
C3.3
C3.4
C3.5
C3.6

## How to read this table:

The top section of the matrix indicates which assessment tasks (A1-A6) are used to assess the course learning outcomes (LO 1-6). Below this, each LO is mapped to the Master of Engineering program learning outcomes (PO1-7), and Engineers Australia Stage 1 Professional Competencies (C1.1-C3.6). The shading of the matrix elements indicates the strength with which each LO contributes to the Program Outcome/Professional Competency according to the following:

 Strong Contribution Moderate Contribution Minor Contribution No Contribution

The overall contribution of the course to the Program Outcomes/Professional Competencies is summarized by the shading of the 2nd column, where the learning outcome mapping has been aggregated to the course level.

Descriptions of the Assessment Tasks, Learning Outcomes, Program Outcomes and Professional Competencies are provided on the following page(s).

## Course Learning Outcomes

 LO1 Interpret the mathematical equations from Linear Algebra, Statistics, and Probability Theory used in the learning models LO2 Describe a number of models for supervised, unsupervised inference from data LO3 Assess the strength and weakness of each of these models LO4 Implement efficient learning algorithms on a computer LO5 Combine several models in order to gain better results LO6 Design test procedures in order to evaluate a model

## Assessment Tasks (see course outline for detailed information)

 A1 Assignment 1 A2 Assignment 2 A3 Assignment 3 A4 Assignment 3 and final project A5 Final project A6 In class hand on

## Program Learning Outcomes

### Master of Engineering in Mechatronics

 PO1 Professionally apply systematic engineering methods to address complex, multi-disciplinary real-world engineering problems related to robotics and mechatronic systems. PO2 Proficiently apply advanced, integrated technical knowledge in mechatronics and the underpinning sciences and scientific methods. PO3 Identify and critically evaluate current developments and emerging trends within the robotics, intelligent systems, and industry automation sector. PO4 Understand the contextual factors that influence professional engineering practice, and identify the potential societal, ethical, and environmental impact of engineering activities. PO5 Communicate effectively with colleagues, other engineering professionals and the broader community employing a range of communication tools. PO6 Engage in independent investigation, critical reflection and lifelong learning to continue to practice at the forefront of the discipline. PO7 Work effectively and proactively within cross-cultural, multi-disciplinary teams, demonstrating autonomy, ethical conduct, expert judgement, adaptability and responsibility to achieve engineering outcomes at a high standard.

## Engineers Australia Stage 1 Professional Competencies

 Knowledge and Skills Base C1.1 Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline C1.2 Conceptual understanding of the mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline. C1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline. C1.4 Discernment of knowledge development and research directions within the engineering discipline C1.5 Knowledge of contextual factors impacting the engineering discipline C1.6 Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the specific discipline. Engineering Application Ability C2.1 Application of established engineering methods to complex engineering problem solving C2.2 Fluent application of engineering techniques, tools and resources C2.3 Application of systematic engineering synthesis and design processes C2.4 Application of systematic approaches to the conduct and management of engineering projects Professional and Personal Attributes C3.1 Ethical conduct and professional accountability C3.2 Effective oral and written communication in professional and lay domains C3.3 Creative, innovative and pro-active demeanour C3.4 Professional use and management of information C3.5 Orderly management of self, and professional conduct C3.6 Effective team membership and team leadership

Updated:  28 Aug 2017/ Responsible Officer:  Head of School/ Page Contact:  Lecturer Name