Note: This unit is an archived version! See Overview tab for delivered versions.
ELEC2302: Signals and Systems (2010 - Semester 2)
| Unit: | ELEC2302: Signals and Systems (6 CP) |
| Mode: | Normal-Day |
| On Offer: | Yes |
| Level: | Intermediate |
| Faculty/School: | School of Electrical & Computer Engineering |
| Unit Coordinator/s: |
Dr Yi, Xiaoke
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| Session options: | Semester 2 |
| Versions for this Unit: |
| Campus: | Camperdown/Darlington |
| Pre-Requisites: | None. |
| Brief Handbook Description: | 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. |
| Assumed Knowledge: | MATH1001 AND MATH1002 AND MATH1003. Basic knowledge of differentiation & integration, differential equations, and linear algebra. |
| Lecturer/s: |
Dr Yi, Xiaoke
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| Timetable: | ELEC2302 Timetable | ||||||||||||||||||||||||||||||
| Time Commitment: |
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| T&L Activities: | E-Learning: Seminar and online discussion/assessment. Independent Study: Self-study |
Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.
| Attribute Development Method | Attribute Developed |
| Problem based learning and project based learning are used in lectures and tutorials to encourage ability of design and problem solving. | Design and Problem Solving Skills (Level 2) |
| Ability to analyse engineering signals and systems using appropriate mathematical techniques. | Discipline Specific Expertise (Level 3) |
| Apply time domain and transform techniques for modeling basic signals and systems, and understand linear time invariant (LTI) systems. | Fundamentals of Science and Engineering (Level 3) |
| To encourage deep thinking, students need to do additional information searches to obtain necessary supplementary materials. | Information Skills (Level 2) |
| Ability to communicate knowledge in written report and in oral presentation | Professional Communication (Level 2) |
| MATLAB based group projects are conducted in tutorials and assignments. | Teamwork and Project Management (Level 1) |
For explanation of attributes and levels see Engineering/IT Graduate Attribute Matrix 2009.
Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.
Design and Problem Solving Skills (Level 2)| Assessment Methods: |
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| Assessment Description: |
Assignment: Assignment and project work Final Exam: Final exam |
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| Grading: |
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| Policies & Procedures: | The faculty attempts to maintain consistency and quality in its T&L operations by adhering to Academic Board policy. These policies can be found on the Central Policy Online site. A brief summary of the relevant T&L policies that should be referred to while filling in these forms can be found at the Faculty of Engineering and Information Technologies Policy Page. |
| Prescribed Text/s: |
Note: Students are expected to have a personal copy of all books listed.
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| Note on Resources: |
Recommended: A. V. Oppenheim, A. S. Willsky and S. Hamid, "Signals and Systems," 2nd Edition, Prentice-Hall. M. Mandal and A. Asif, "Continuous And Discrete Time Signals And Systems," Cambridge University Press, 2007. |
Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp
| Week | Description |
| Week 1 | Introduction: signals and systems. |
| Week 2 | Continuous time signals & basic properties of systems. |
| Week 3 | Linear time-invariant (LTI) systems. |
| Week 4 | Time domain analysis and convolution integral. |
| Week 5 | System response and stablity. |
| Week 6 | Laplace transform: definition and properties. |
| Week 7 | System analysis based on Laplace transform. |
| Week 8 | Basics of Fourier series. |
| Week 9 | Fourier synthesis and decomposition. |
| Week 10 | Fourier transform: definition and properties. |
| Week 11 | Frequency response. |
| Week 12 | Filter design and signal modulation. |
| Week 13 | State space analysis. |
| Exam Period | Final Exam |
| Assessment Due: Final Exam |
Course Relations
The following is a list of courses which have added this Unit to their structure.
Course Goals
This unit contributes to the achievement of the following course goals:
| Attribute | Practiced | Assessed |
| Design and Problem Solving Skills (Level 2) | Yes | 13% |
| Discipline Specific Expertise (Level 3) | Yes | 52.01% |
| Fundamentals of Science and Engineering (Level 3) | Yes | 26.01% |
| Information Skills (Level 2) | Yes | 3% |
| Professional Communication (Level 2) | Yes | 3% |
| Teamwork and Project Management (Level 1) | Yes | 3% |
These goals are selected from Engineering/IT Graduate Attribute Matrix 2009 which defines overall goals for courses where this unit is primarily offered. See Engineering/IT Graduate Attribute Matrix 2009 for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.
