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Signals and Systems unit (ENG216)

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Introduction

This unit presents students with both fundamental and advanced concepts of signals and the response of linear systems. Students will engage with a variety of topics including the modelling of real-world systems, analysis of system responses and stability under varying conditions, and the design of systems to achieve desired responses. The unit is designed to prepare students for future learning and applications in areas such as control systems, power systems, and renewable energy systems.

Throughout the unit, students will develop skills in mathematical modelling and simulations to solve complex problems. They will learn to derive and transform the impulse response of linear, time-invariant systems, apply the convolution theorem, determine the stability and frequency response of systems, and analyse stochastic signals. Additionally, students will gain hands-on experience in designing signal processing systems and filters.

By the end of this unit, students will be equipped with the knowledge and skills necessary to tackle advanced topics in engineering and to apply these principles in practical scenarios. The learning experiences provided will include lectures, problem-solving sessions, group projects, and laboratory work, ensuring a comprehensive understanding of both theoretical and practical aspects of signals and systems.

Summary

Unit name Signals and Systems
Unit code ENG216
Credit points 12.5
College/School Sciences and Engineering
School of Engineering
Discipline Engineering
Coordinator Doctor Benjamin Millar
Available as an elective? No
Delivered By University of Tasmania
Level Intermediate

Sustainable Development Goals

The Unit Coordinator has identified that this unit aligns with the following UN Sustainable Development Goals. We welcome your thoughts and feedback on the alignment of the unit with these goals.

Learning Outcomes

  • Derive and transform the impulse response of linear, time-invariant systems.
  • Apply the convolution theorem to linear, time-invariant systems.
  • Determine the stability and frequency response of linear signals and systems.
  • Apply principles of stochastic signal analysis to model randomness in signals and their effect on linear systems.
  • Design signal processing systems and filter responses.

Fee Information

Field of Education Commencing Student Contribution 1,3 Grandfathered Student Contribution 1,3 Approved Pathway Course Student Contribution 2,3 Domestic Full Fee 4
not applicable

1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.

If you have any questions in relation to the fees, please contact UniConnect or more information is available on StudyAssist.

Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.

Requisites

Prerequisites

KMA252

Teaching

Teaching Pattern

1 x 2 hour lecture per week

1 x 2 hour Tutorial per week

4 x 3 hour labs per semester

AssessmentGroup Project 1 (30%)|Group Project 2 (30%)|Final Exam (40%)
TimetableView the lecture timetable | View the full unit timetable

Textbooks

Required

Required readings will be listed in the unit outline prior to the start of classes.

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