Courses & Units

Signals and Linear Systems ENG332



The unit introduces the theory and practice of signals and linear systems and shows how transform techniques and transfer functions can be used to solve problems in several engineering fields. This unit is considered to be essential for power, electrical, computer, electronic, telecommunications and mechatronic engineering and forms the basis for many third and fourth year units, especially those in Control Theory. Harmonic analysis, signal decomposition and transforms are treated in a logical sequence showing their inter-relationship. Similarly, digital systems and transforms will be derived from sampling theory, converting analog systems and continuous transforms to equivalent digital systems, and thus show their inter-relationship. Special emphasis is placed on the use and proficient application of higher mathematics. This includes complex analysis, matrix representation and solution, and liberal use is made of linear algebra and the state space representation and solution methodology. The unit introduces the student to stochastic systems analysis and the predictability of observable phenomena. These ideas and theory are important for an understanding of renewable energy resources and their limitations, and to characterize the reliability of energy sources. Liberal use is made of the concept of an expectation value – including the differences between the definition of the expectation value on the time domain and the ensamble or space domain. Thus the student is led to an understanding of these aspects via a special emphasis on the Ergodic theorem. Special conditions leading to weak forms of the Ergodic theorem is studied with practical examples. The student will be able to design systems making use of the concepts learned, in practical and real world problems. There are three detailed written tests/examinations during the semester that assess the student’s mastery of learning outcomes.


Unit name Signals and Linear Systems
Unit code ENG332
Credit points 12.5
Faculty/School College of Sciences and Engineering
School of Engineering
Discipline Engineering

Prof JC Olivier

Level Advanced
Available as student elective? No
Breadth Unit? No


Location Study period Attendance options Available to
Hobart Semester 1 On-Campus International Domestic


International students
Domestic students

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Key Dates

Study Period Start date Census date WW date End date
Semester 1 22/2/2021 23/3/2021 12/4/2021 30/5/2021

* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).

About Census Dates

Learning Outcomes

1. Apply signal decomposition and transforms, stochastic signal properties and correlation, and the ergodic theory to practical problems.

2. Design signal processing systems and network and filter responses.

3. Apply fundamentals of digital signal processing using a state space representation.

4. Solve problems using transform theory.

5. Explain the relationship between system performance and desired system specification, and what constitutes an achievable and practical engineering design.



Field of Education Commencing Student Contribution 1 Grandfathered Student Contribution 1 Approved Pathway Student Contribution 2 Domestic Full Fee
039999 $993.0 $993.0 not applicable $2,798.0

1 Please refer here more information on student contribution amounts.
2 The information on Approved Pathway courses can be found here.
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Please note: international students should refer to this page to get an indicative course cost.



KME271 and KME272

Mutual Exclusions

You cannot enrol in this unit as well as the following:



Teaching Pattern



Three major assessments:  Broad design project (50%), in-semester test (10%) and 3-hr end of semester exam (40%)

TimetableView the lecture timetable | View the full unit timetable


Booktopia textbook links

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