Engineering Masters Curriculum Mappings -- Course ENGN6213

ENGN6213

Course Learning Outcomes
LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10 LO11
Assessment Tasks A1 X X X X X X X X
A2 X
A3 X X X X X
A4 X X X X X X X
A5 X X 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-A5) are used to assess the course learning outcomes (LO 1-11). 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 ContributionModerate ContributionMinor ContributionNo 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 Design combinational and sequential logic hardware using schematics and Verilog HDL. Follow an appropriate workflow for the design of digital systems and their implementation in programmable logic.
LO2 Analyse and design complex digital systems through the Finite State Machine and Register-Transfer-Level frameworks.
LO3 Demonstrate a solid understanding of core microprocessor architecture and its relationship with the assembly language.
LO4 Write simple embedded C programs to operate a real-world microcontroller and develop solutions based on microcontroller technology to address simple engineering problems
LO5 Describe the architecture, programming and use of microprocessors and FPGAs, distinguish appropriate areas of application for each, and recognise the potential of co-designed systems combining both technologies
LO6 Adopt a top-down design approach to deconstruct a design goal and translate system requirements into a practical design
LO7 Plan, execute and report on a project working in a group
LO8 Use a number of commercial and open-source softwares: ISE WebPACK, ICARUS Verilog, GTKwave, Atmel Studio
LO9 Demonstrate practical electronics testbench skills and use a development board.
LO10 interpret schematics and datasheets
LO11 Communicate effectively in written form about their work

Assessment Tasks (see course outline for detailed information)

A1 Assignment 1
A2 C primer quiz
A3 Final exam
A4 Lab assessment
A5 Practicals

Program Learning Outcomes

Master of Engineering in Digital Systems and Telecommunications

PO1 Professionally apply systematic engineering methods to address complex, multi-disciplinary real-world engineering problems related to modern digital systems and telecommunications.
PO2 Proficiently apply advanced, integrated technical knowledge in digital systems and telecommunications engineering and the underpinning sciences and scientific methods.
PO3 Identify and critically evaluate current developments and emerging trends within the digital systems and telecommunications sector.
PO4 Understand the contextual factors that influence professional engineering practise, 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 media and 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.

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:  04 Sep 2017/ Responsible Officer:  Head of School/ Page Contact:  Lecturer Name