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CECS Professional Skills Mapping

ENGN2228 — Signals and Systems

code: ENGN2228
name: Signals and Systems
unit value: 6
description: The concepts of signals and systems are at the heart of our modern world. They exist in a wide range of engineering disciplines ranging from electrical and electronic systems, mechanical systems, thermal and chemical systems, to biomedical system . This course presents the common principles, theory and techniques fundamental to the analysis and design of continuous-time and discrete-time signals and systems applicable to all engineering disciplines. It begins by introducing an analytical framework describing signals and systems. The following specific topics are covered subsequently: basic properties of signals and systems, linear time-invariant systems, Fourier series representations of continuous-time and discrete-time signals, signal analysis through the Fourier transform, filter design, and sampling. The mathematical concepts are illustrated with examples from different engineering disciplines and the techniques are practiced in laboratory activities.
P&C: https://programsandcourses.anu.edu.au/course/ENGN2228
course learning outcomes:
  1. Demonstrate understanding of continuous-time and discrete-time signals and systems and analyse their properties such as causality, linearity, time invariance and stability.
  2. Describe and model signals and systems arising from different engineering disciplines using a common analytical framework and apply common engineering tools and techniques to problem solving across these disciplines.
  3. Use impulse response, frequency response and Fourier methods in analysing signals and systems in time and frequency domains, as well as low-pass, band-pass and high-pass filter designs.
  4. Explain the concept of sampling, the Sampling Theorem, aliasing and the Nyquist rate.
  5. Apply engineering design practice in a laboratory setting, individually or in a small team, and communicate the results effectively.
assessment:
  1. Assignments (12%)
  2. Labs (18%)
  3. Mid-Semester Exam (20%)
  4. Final Exam (50%)

Mapped learning outcomes

learning outcome1. KNOWLEDGE AND SKILL BASE2. ENGINEERING APPLICATION ABILITY3. PROFESSIONAL AND PERSONAL ATTRIBUTESassessment tasks
1.11.21.31.41.51.62.12.22.32.43.13.23.33.43.53.61234
  1. Demonstrate understanding of continuous-time and discrete-time signals and systems and analyse their properties such as causality, linearity, time invariance and stability.
✓✓✓✓✓✓✓✓
  1. Describe and model signals and systems arising from different engineering disciplines using a common analytical framework and apply common engineering tools and techniques to problem solving across these disciplines.
✓✓✓✓✓✓✓✓✓
  1. Use impulse response, frequency response and Fourier methods in analysing signals and systems in time and frequency domains, as well as low-pass, band-pass and high-pass filter designs.
✓✓✓✓✓✓✓✓✓
  1. Explain the concept of sampling, the Sampling Theorem, aliasing and the Nyquist rate.
✓✓✓✓✓✓
  1. Apply engineering design practice in a laboratory setting, individually or in a small team, and communicate the results effectively.
✓✓✓✓✓✓

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

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