Unit of study_

# ELEC9302: Signals and Systems

## Overview

This unit aims to teach some of the basic properties of many engineering signals and systems and the necessary mathematical tools that aid in this process. The particular emphasis is on the time and frequency domain modeling of linear time invariant systems. The concepts learnt in this unit will be heavily used in many units of study (in later years) in the areas of communication, control, power systems and signal processing. A basic knowledge of differentiation and integration, differential equations, and linear algebra is assumed.

### Details

Academic unit Electrical and Information Engineering ELEC9302 Signals and Systems Semester 2, 2021 Normal day Remote 6

### Enrolment rules

 Prohibitions ? ELEC5721 None None Basic knowledge of differentiation and integration, differential equations, and linear algebra. No

### Teaching staff and contact details

Coordinator Liwei Li, liwei.li@sydney.edu.au

## Assessment

Type Description Weight Due Length
Final exam (Open book) Final exam
Final Exam
65% Formal exam period 2 hours
Outcomes assessed:
Small test Lab exercises
5% Multiple weeks n/a
Outcomes assessed:
Tutorial quiz Quizzes
5% Multiple weeks n/a
Outcomes assessed:
Assignment Assignment
10% Multiple weeks n/a
Outcomes assessed:
Assignment Mid-semester Assignment
Individual Assignment
15% Week 08 n/a
Outcomes assessed:
= group assignment
= Type C final exam

Detailed information for each assessment can be found on Canvas.

### Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Detailed information for each assessment can be found on Canvas.

Mark range

Description

High distinction

85 - 100

Distinction

75 - 84

Credit

65 - 74

Pass

50 - 64

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

### Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

• Deduction of 5% of the maximum mark for each calendar day after the due date.
• After ten calendar days late, a mark of zero will be awarded.

### Special consideration

If you experience short-term circumstances beyond your control, such as illness, injury or misadventure or if you have essential commitments which impact your preparation or performance in an assessment, you may be eligible for special consideration or special arrangements.

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

## Weekly schedule

WK Topic Learning activity Learning outcomes
Week 01 Introduction: signals and systems Lecture (2 hr)
Week 02 Continuous time signals and basic properties of systems Lecture (2 hr)
Week 03 Linear time-invariant (LTI) systems Lecture (2 hr)
Week 04 Time domain analysis and convolution integral Lecture (2 hr)
Week 05 System response and stability Lecture (2 hr)
Week 06 Laplace transform: definition and properties Lecture (2 hr)
Week 07 System analysis based on Laplace transform Lecture (2 hr)
Week 08 Basics of Fourier series Lecture (2 hr)
Week 09 Fourier synthesis and decomposition Lecture (2 hr)
Week 10 Fourier transform: definition and properties Lecture (2 hr)
Week 11 Frequency response Lecture (2 hr)
Week 12 Filter design and signal modulation, State space analysis Lecture (2 hr)
Week 13 Review and Exam Information Lecture (2 hr)

### Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

## Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University’s graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

• LO1. solve electronic circuit and telecommunication problems using principles of signals and systems
• LO2. determine the system impulse response and explain system stability issues
• LO3. formulate time and frequency domain descriptions for continuous time signals and linear time invariant (LTI) systems
• LO4. determine system response to internal and external input
• LO5. build a signal and system model using transform techniques, such as Laplace transform, and Fourier transform
• LO6. understand basic signal and system concepts, including size of the signal, classifications amd system models
• LO7. demonstrate proficiency in applying concepts, principles and techniques to analyse the electric network
• LO8. identify information needs and target information searches effectively and efficiently using varied sources such as internet, library databases and electronic publications as part of specific engineering projects
• LO9. demonstrate fluency in communicating concisely and accurately using varied formats such as written and oral, to deliver specific engineering project information
• LO10. demonstrate the capacity to work in a team and promote creative team interaction to encourage contribution from all members to deliver specific engineering projects and assignments.

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

 GQ1 Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline. GQ2 Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem. GQ3 Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context. GQ4 Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies. GQ5 Inventiveness Generating novel ideas and solutions. GQ6 Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues. GQ7 Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries. GQ8 Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context. GQ9 Influence Engaging others in a process, idea or vision.