ELEC3004 - Sem 1 2016 - St Lucia - Internal

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Printed: 29 February 2016, 09:12AM
This printed course profile is valid at the date and time specified above. The course profile may be subject to change during the semester – the online version is the authoritative version.

1. General Course Information

1.1 Course Details

Course Code: ELEC3004 Course Title: Signals, Systems & Control
Coordinating Unit: School of Information Technology and Electrical Engineering
Semester: Semester 1, 2016    Mode: Internal
Level: Undergraduate
Location: St Lucia
Number of Units: 2    Contact Hours Per Week: 2L2T2P
Pre-Requisites: ELEC2004 + STAT2202
Incompatible: ELEC3600, ELEC7312, ELEC7601
Course Description: Discrete-time signals & systems, system properties (linearity, time-invariance, memory, causality, stability), sampling & reconstruction, A/D and D/A converters, DFT/FFT, z transform, stochastic processes, frequency-selective filters, effect of feedback, introduction to control.
Assumed Background:

It is absolutely essential that students have completed and mastered ELEC2004.  It is essential that students have completed STAT 2202 and MATH2000.  Also essential is a complete understanding of linear algebra and familiarity with programming in MATLAB.   Additionally, students are expected to be familiar with basic C/C++ programming concepts, particularly for the practical sections.  

1.2 Course Introduction

Welcome to Systems: Signals and Controls.

This course covers the fundamental theory and practice of linear system analysis.  The course deals with systems in their general sense, their inputs, their outputs, and the mathematical models that describe their behaviour.  It generalizes the continuous-time circuits (and systems) seen in ELEC 2004 and introduces discrete-time representations.  It is more than just a "discrete-time" version of ELEC 2004.  The discussion of these topics is motivated by the domains of signal processing and linear feedback control.

Some of the topics touched by the class include: Linear algebra, a mathematical perspective on signals (singularity functions, complex exponentials and geometrics), system properties (linearity, time-invariance, memory, causality, stability), Fourier representations, Laplace and Z transforms, sampling & reconstruction, A/D and D/A converters, DFT/FFT, stochastic processes, filters, representations of linear, time-invariant systems (difference and differential equations, block diagrams, system functions, poles and zeros, convolution, impulse and step responses, frequency responses). the effects of feedback, and an introduction to discrete digital control.  Applications are drawn broadly from engineering, including feedback and control, signal processing and computer science (e.g. computer vision, computer graphics and robotics).

This class is special.  It is about seeing a system and a signal for what it is -- information in motion.


Course Changes in Response to Previous Student Feedback

The course has fewer assessments and clearer demarcation of topic boundries. While the course has its share of new IT systems, they are more refined versions.  The class has a new domain for easier access -- http://www.elec3004.com/

 


1.3 Course Staff

Course Coordinator: Dr Surya Singh
Phone: 58328/66325     Email: spns@uq.edu.au
Campus: St Lucia Building: General Purpose South (Map)   Room: 531

Lecturer: Dr Surya Singh
Phone: 3365 8328     Email: spns@uq.edu.au
Campus: St Lucia Building: General Purpose South (Map)   Room: 531

Laboratory Co-ordinator: Mr Ian Clough
Phone: 3365 8303     Email: i.clough@uq.edu.au
Campus: St Lucia Building: General Purpose South (Map)   Room: 306
Consultation:

Please email for a consultation time.



1.4 Timetable

Timetables are available on mySI-net.

Additional Timetable Information

Please check the class website for details and updates as it is the definitive source for all matters.


2. Aims, Objectives & Graduate Attributes

2.1 Course Aims

This course is (Digital) Linear Systems.  It covers the modelling, analysis, and design of Linear Systems with an emphasis on their digital implementations.  It covers linear algebra, a mathematical perspective on signals (singularity functions, complex exponentials and geometrics), system properties (linearity, time-invariance, memory, causality, stability), Fourier representations, Laplace and Z transforms, sampling & reconstruction, A/D and D/A converters, DFT/FFT, stochastic processes, filters, representations of linear, time-invariant systems (difference and differential equations, block diagrams, system functions, poles and zeros, convolution, impulse and step responses, frequency responses), the effects of feedback, and an introduction to discrete-time (and continuous-time) control. This course complements the highly-recommended continuous controls course, METR4201.

2.2 Learning Objectives

After successfully completing this course you should be able to:

1  Demonstrate the role of the Fourier, Laplace and z-transforms, poles and zeros in the analysis of continuous-time and discrete-time signals and systems.
2  Calculate Laplace and z-transforms and their inverses and be able to use them to solve differential and difference equations
3  Understand the Nyquist sampling theorem and its implications in signal and image processing systems
4  Analyze the concepts of amplitude distortion, phase distortion and group delay in filters
5  Design continuous-time and discrete-time filters
6  Identify random processes and the principals of stochastic signal processing
7  Explain the computational benefits of the Laplace and Fourier transforms in system characterisation.
8  Understand images as two-dimensional signals, their acquisition and the extension of the common DSP techniques to images.
9  Appreciate the architectural features necessary for digital signal processors and obtain hands-on experience with DSP programming.
10  Express Linear Systems computations and algorithms in MATLAB
11  Comprehend the broad applicability of signal and image processing for further studies in this field, especially in communications and in biomedical signal processing
12  Appreciate the advantages of the time-frequency analysis in analog and digital signals.

2.3. Graduate Attributes

Successfully completing this course will contribute to the recognition of your attainment of the following UQ (Undergrad Pass) graduate attributes:

GRADUATE ATTRIBUTELEARNING OBJECTIVES
A. IN-DEPTH KNOWLEDGE OF THE FIELD OF STUDY
A1. A comprehensive and well-founded knowledge in the field of study.1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12
A4. An understanding of how other disciplines relate to the field of study.4, 7, 8, 10, 11, 12
A5. An international perspective on the field of study.11, 12
B. EFFECTIVE COMMUNICATION
B1. The ability to collect, analyse and organise information and ideas and to convey those ideas clearly and fluently, in both written and spoken forms.1, 2, 5, 12
B2. The ability to interact effectively with others in order to work towards a common outcome.2, 9, 12
B3. The ability to select and use the appropriate level, style and means of communication.10
B4. The ability to engage effectively and appropriately with information and communication technologies.9
C. INDEPENDENCE AND CREATIVITY
C1. The ability to work and learn independently.5, 6, 9, 10
C3. The ability to generate ideas and adapt innovatively to changing environments.1, 9, 10, 11
C4. The ability to identify problems, create solutions, innovate and improve current practices.8, 9, 10
D. CRITICAL JUDGEMENT
D1. The ability to define and analyse problems.1, 4, 5, 10
D2. The ability to apply critical reasoning to issues through independent thought and informed judgement.1, 10
D3. The ability to evaluate opinions, make decisions and to reflect critically on the justifications for decisions.10
E. ETHICAL AND SOCIAL UNDERSTANDING
E1. An understanding of social and civic responsibility.11
E2. An appreciation of the philosophical and social contexts of a discipline.11
E4. A knowledge and respect of ethics and ethical standards in relation to a major area of study. 
E5. A knowledge of other cultures and times and an appreciation of cultural diversity. 

3. Learning Resources

3.2 Recommended Resources

B. P. Lathi, Signal Processing and Linear Systems, 2000 (TK5102.9.L38 1998)

URL
 

G. Franklin, J. Powell, M. Workman, Digital Control of Dynamic Systems, 1990

URL
 

J. Hespanha, Linear Systems Theory, 2009  (EBook)

URL
 

H. Hsu, Schaum's Outline of Signals and Systems, 2nd Edition, 2011

URL
 

3.3 University Learning Resources

Access to required and recommended resources, plus past central exam papers, is available at the UQ Library website (http://www.library.uq.edu.au/lr/ELEC3004).

The University offers a range of resources and services to support student learning. Details are available on the myServices website (https://student.my.uq.edu.au/).

3.4 School of Information Technology and Electrical Engineering Learning Resources

Most ITEE courses have Blackboard sites which can be found at https://learn.uq.edu.au.

3.5 Other Learning Resources & Information

Course materials maybe found at http://elec3004.com.

4. Teaching & Learning Activities

4.1 Learning Activities

Date
Activity
Learning Objectives
29 Feb 16 - 3 Jun 16
Course Lectures (Lecture Series):
Readings/Ref: REQ TEXTBOOK ; OPT TEXTBOOK
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
7 Mar 16 - 27 May 16
Laboratory Sessions (Practical): Pracs/Labs will meet on ODD weeks from WEEK 3 - WEEK 11 with the exception of WEEK 9.
5, 6, 7, 9, 10
14 Mar 16 - 21 May 16
Tutorial Sessions (Tutorial): Tutorial Sessions will meet on EVEN weeks - Starting with WEEK 2!
Readings/Ref: GUIDEBOOK ; REQ TEXTBOOK
1, 2, 3, 4, 6, 7, 8, 12

4.2 Other Teaching and Learning Activities Information

Lectures: There will be two lectures each week. Lectures will be used for presentation of course material, discussions and demonstrated solutions to problems with active student participation encouraged.

Tutorials and Workshops : Students should attend their assigned tutorial and workshop.  They run on odd weeks (and do not run on week 1).  Additional infomation for them will be distributed in class.  Active student participation is encouraged.

Practicals: There are some two hour practicals scheduled.  They run on even weeks.   When doing the laboratories it is suggested that students keep a workbook.  This is a good introduction to professional practice. Many people working in industry or research keep workbooks. Indeed, many employers insist that workbooks be maintained. These fully document the thoughts and steps behind any experiments or development. It is common commercial practice that each page of a workbook is signed and dated at the end of each day and often that this is witnessed by some independent person. Some organisations require that workbooks be kept in a fire-proof safe each night. The workbooks are legal documents which can be used, for example, to support patent claims.

Attendance: You are not required to attend any of the teaching sessions (except those in which an assessment activity (which may include a pop quiz) is taking place), however, you are strongly encouraged to attend and benefit . The lectures, tutorials and practicals have been specifically designed to aid your learning of the course material. Failure to attend a session may result in you being disadvantaged. It is up to you to find out what happened at any class session that you miss.

Should you miss a tutorial or prac, you may be able to attend an alternative session if there is space and at the discretion of the head tutor for that session.  You should be prepared to provide documentary evidence of extenuating circumstances (e.g., a medical certificate). The capacity of the laboratories and the tutorial room is quite limited, so the possibility of attending a session other than your regularly scheduled session is quite low. Preference will be given to those students who have a legitimate excuse for missing a session.

5. Assessment

5.1 Assessment Summary

This is a summary of the assessment in the course. For detailed information on each assessment, see 5.5 Assessment Detail below.

Assessment Task
Due Date
Weighting
Learning Objectives
Problem Set/s
Problem Set 1
24 Mar 16 23:59
20%
1, 2, 4, 6, 7, 10
Computer-based Assessment
Online Quiz
22 Apr 16 23:59
EXTRA CREDIT
1, 2, 3, 5, 6, 7, 10, 11
Problem Set/s
Problem Set 2
29 Apr 16 23:59
20%
1, 2, 4, 6, 7, 10
Problem Set/s
Problem Set 3
27 May 16 23:59
20%
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12
Exam - during Exam Period (Central)
Final Examination
Examination Period
40%
1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12

5.2 Course Grading


Grade X: No assessable work received.

Grade 1, Fail: Fails to demonstrate most or all of the basic requirements of the course:

A Grade of 1 will be awarded for an overall mark below 20%.



      The minimum percentage required for a grade of 1 is: 0%

Grade 2, Fail: Demonstrates clear deficiencies in understanding and applying fundamental concepts; communicates information or ideas in ways that are frequently incomplete or confusing and give little attention to the conventions of the discipline:

A Grade of 2 will be awarded for an overall mark below 45% but greater than or equal to 20%.



Grade 3, Fail: Demonstrates superficial or partial or faulty understanding of the fundamental concepts of the field of study and limited ability to apply these concepts; presents undeveloped or inappropriate or unsupported arguments; communicates information or ideas with lack of clarity and inconsistent adherence to the conventions of the discipline:

A Grade of 3 will be awarded for an overall mark below 50% but greater than or equal to 45%.

Alternatively, a Grade of 3 will be awarded for an overall mark greater than or equal to 50% if a mark less than or equal to 39% is achieved on the final examination.


Grade 4, Pass: Demonstrates adequate understanding and application of the fundamental concepts of the field of study; develops routine arguments or decisions and provides acceptable justification; communicates information and ideas adequately in terms of the conventions of the discipline:

A Grade of 4 will be awarded if there is both:
(1) an overall mark of 50% or greater AND
(2) a mark of greater than or equal to 45% on the final examination.



Grade 5, Credit: Demonstrates substantial understanding of fundamental concepts of the field of study and ability to apply these concepts in a variety of contexts; develops or adapts convincing arguments and provides coherent justification; communicates information and ideas clearly and fluently in terms of the conventions of the discipline:

A Grade of 5 will be awarded if there is both:
(1) an overall mark of 65% or greater AND
(2) a mark of greater than or equal to 45% on the final examination AND
(3) a mark of greater than or equal to 65% on the online quiz

 



Grade 6, Distinction: As for 5, with frequent evidence of originality in defining and analysing issues or problems and in creating solutions; uses a level, style and means of communication appropriate to the discipline and the audience:

A Grade of 6 will be awarded if there is both:
(1) an overall mark of 75% or greater AND
(2) a mark of greater than or equal to 50% on the final examination. AND
(3) a mark of greater than or equal to 65% on the online quiz



Grade 7, High Distinction: As for 6, with consistent evidence of substantial originality and insight in identifying, generating and communicating competing arguments, perspectives or problem solving approaches; critically evaluates problems, their solutions and implications:

A Grade of 7 will be awarded if there is both:
(1) an overall mark of 85% or greater AND
(2) a mark of greater than or equal to 60% on the final examination.AND
(3) a mark of greater than 65% on the online quiz



Other Requirements & Comments :

(1) To receive a grade of 4 or greater, students must achieve a mark of greater than or equal to 45% on the final examination.

(2) To receive a grade of 5 or greater, students must achieve a mark of greater than or equal to 65% on the online quiz.

(3) Students will receive the highest grade possible as per the aforemenioned logic  (i.e., While someone who qualifies for a 7 also qualifies for a 6, 5, and 4, they will receive the 7).

(4) Standard algebraic rounding (e.g., 84.5 rounds to an 85, whereas 84.4 rounds to an 84) will be applied to final mark prior to allocation of final grade


5.3 Late Submission

No extensions will be granted except in exceptional personal circumstances (documented medical reason or family emergency). Personal hardware or computer failures are not grounds for extension.

 

All requests for extension must be submitted on the UQ Application for Extension of Progressive Assessment form (http://www.uq.edu.au/myadvisor/forms/exams/progressive-assessment-extension.pdf) no later than 48 hours prior to the submission deadline. The application and supporting documentation (e.g. medical certificate) must be submitted to the ITEE Coursework Studies office (78-425) or by email to enquiries@itee.uq.edu.au. If submitted electronically, you must retain the original documentation for a minimum period of six months to provide as verification should you be requested to do so.

 

In cases where an extension is approved, the course coordinator exercises the discretion to modify the nature of the assessment item where it is not practicable to repeat the original assessment item (i.e. if a student is unable to sit a deferred midsemester exam, an oral examination may be conducted).

5.5 Assessment Detail


Problem Set 1
Type: Problem Set/s
Learning Objectives Assessed: 1, 2, 4, 6, 7, 10
Due Date:
         24 Mar 16 23:59
Weight: 20%
Task Description:

Exercises on Systems, Signals and Controls (in general), with an emphasis on LINEAR Systems

May include material (including experimental results) from Lab 1 (Week 3).

Please submit via the class-website (details to be given in class).  No hand-written solutions.  No scanned copies of hand-written solutions.

Due by 23:59 AEST sharp!  

 

 


Criteria & Marking:

Specific details will be provided on the course website.
Students are asked to earnestly work on this assignment.
The grading may involve peer assessment in which case the median score will be used.
The total grade will be turned into a percentage.  


Submission: Online via the course website (details given in class).

Online Quiz
Type: Computer-based Assessment
Learning Objectives Assessed: 1, 2, 3, 5, 6, 7, 10, 11
Due Date:
         22 Apr 16 23:59
Weight: EXTRA CREDIT
Task Description:

This is an online (multiple choice/short answer) Quiz.  It is intended as a formative exercise for the class.

It is designed to provide an opportunity to review the concepts and to see "where you are in the class."

It may be a combination of multiple choice and short answer questions.  It may have questions whose values/questions that vary. 

The score on the first attempt is worth up to 5 percentage points of extra credit toward an assignment (i.e., where assignments are graded out of 100). This extra credit will be added to the assignment with the lowest grade (not the entire class grade).

If one gets a score less than 65%, they may retake the quiz; however, any subsequent attempts taken will not earn additional extra credit.


Criteria & Marking:

Specific details will be provided on the course website.



Problem Set 2
Type: Problem Set/s
Learning Objectives Assessed: 1, 2, 4, 6, 7, 10
Due Date:
         29 Apr 16 23:59
Weight: 20%
Task Description:

Exercises on Systems, Signals and Controls (in general), with an emphasis on Signals/Filters.
May include material (including experimental results) from Lab 1 or 2.
Please submit via the class-website (details to be given in class).  No hand-written solutions.  No scanned copies of hand-written solutions.
Due by 23:59 AEST sharp! 


Criteria & Marking:

Specific details will be provided on the course website.
Students are asked to earnestly work on this assignment.
The grading may involve peer assessment in which case the median score will be used.
The total grade will be turned into a percentage.  


Submission: Online via the course website (details given in class).

Problem Set 3
Type: Problem Set/s
Learning Objectives Assessed: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12
Due Date:
         27 May 16 23:59
Weight: 20%
Task Description:

Exercises on Systems, Signals and Controls (in general), with an emphasis on Controls

May include material (including experimental results) from Labs 1-4.
Please submit via the class-website (details to be given in class).  No hand-written solutions.  No scanned copies of the hand-written soltuions.
Due by 23:59 AEST sharp! 

 

 


Criteria & Marking:

Specific details will be provided on the course website.
Students are asked to earnestly work on this assignment.
The grading may involve peer assessment in which case the median score will be used.
The total grade will be turned into a percentage.  
 


Submission: Please submit via the class-website (details to be given in class).

Final Examination
Type: Exam - during Exam Period (Central)
Learning Objectives Assessed: 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12
Due Date:
         Examination Period
Weight: 40%
Reading: 10 minutes
Duration: 180 minutes
Format: Multiple-choice, Short answer, Short essay, Problem solving
Task Description:

A three-hour final examination will be held during the final examination period.

You may bring one (1) two-sided A4 sheet of handwritten (not typed) formulae into the examination room. 
A sheet that does not meet these requirements will NOT be permitted.  At the end of the exam, you will be required to submit this sheet. 

Calculators must be UQ approved (and labelled if not Casio fx-82).
 

 


Criteria & Marking:

This exam will be closed-book and will contain both short-answer and problem solving (calculation) questions. The examination will test understanding of the various theoretical, computational and design techniques covered throughout the course. Marks for all questions will be as specified.

See item 5.2 for mimimum grade award conditions



6. Policies & Guidelines

 
This section contains the details of and links to the most relevant policies and course guidelines. For further details on University Policies please visit myAdvisor and the Policy and Procedures Library.

6.1 Assessment Related Policies and Guidelines

University Policies & Guidelines

An overview of the University’s assessment-related policies can be found on myAdvisor (http://www.uq.edu.au/myadvisor/index.html?page=2910).

Academic Integrity
It is the University's task to encourage ethical scholarship and to inform students and staff about the institutional standards of academic behaviour expected of them in learning, teaching and research. Students have a responsibility to maintain the highest standards of academic integrity in their work. Students must not cheat in examinations or other forms of assessment and must ensure they do not plagiarise.

Plagiarism
The University has adopted the following definition of plagiarism:

Plagiarism is the act of misrepresenting as one's own original work the ideas, interpretations, words or creative works of another. These include published and unpublished documents, designs, music, sounds, images, photographs, computer codes and ideas gained through working in a group. These ideas, interpretations, words or works may be found in print and/or electronic media.

Students are encouraged to read the UQ Student Integrity and Misconduct policy (http://ppl.app.uq.edu.au/content/3.60.04-student-integrity-and-misconduct) which makes a comprehensive statement about the University's approach to plagiarism, including the approved use of plagiarism detection software, the consequences of plagiarism and the principles associated with preventing plagiarism.

Applications for Extensions

  • Medical grounds: Applications for extension on medical grounds shall be made by lodging the Application for Extension of Progressive Assessment form and supporting documentation at the location outlined in Section 5.3 of the Electronic Course Profile for the course concerned.
  • Exceptional circumstances: Applications for extension on the grounds of exceptional circumstances shall be made to the relevant Course Coordinator/Program Director by lodging the Application for Extension of Progressive Assessment form and a personal statement outlining the grounds for the application at the location and by the due date outlined in Section 5.3 of the Electronic Course Profile for the course in which this application is made. If the exceptional circumstances are such that the student cannot reasonably be expected to have complied with these conditions, a case should be made as to why these conditions could not be met.
  • Outcome of application: Students will be advised of the outcome of their application via their student email.

Feedback on Assessment
Feedback is essential to effective learning and students can expect to receive appropriate and timely feedback on all assessment. For a detailed explanation of the feedback you are entitled to, you should consult the policy on Student Access to Feedback on Assessment. (https://ppl.app.uq.edu.au/content/3.10.02-assessment)

As a student you have a responsibility to incorporate feedback into your learning; make use of the assessment criteria that you are given; be aware of the rules, policies and other documents related to assessment; and provide teachers with feedback on their assessment practices.

There are certain steps you can take if you feel your result does not reflect your performance. Please refer to the myAdvisor web site. (http://www.uq.edu.au/myadvisor/index.html?page=2953)

Feedback in this Course

Feedback on this couse is welcome at anytime and is encouraged.  Please forward to the course coordinator who may action on it and modify class operation at any time as deemed necessary.

School of Information Technology and Electrical Engineering Assessment Guidelines

University Policies & Guidelines

An overview of the University’s assessment-related policies can be found on myAdvisor (http://www.uq.edu.au/myadvisor/index.html?page=2910).

Academic Integrity
It is the University's task to encourage ethical scholarship and to inform students and staff about the institutional standards of academic behaviour expected of them in learning, teaching and research. Students have a responsibility to maintain the highest standards of academic integrity in their work. Students must not cheat in examinations or other forms of assessment and must ensure they do not plagiarise.

Plagiarism
The University has adopted the following definition of plagiarism:

Plagiarism is the act of misrepresenting as one's own original work the ideas, interpretations, words or creative works of another. These include published and unpublished documents, designs, music, sounds, images, photographs, computer codes and ideas gained through working in a group. These ideas, interpretations, words or works may be found in print and/or electronic media.

Students are encouraged to read the UQ Student Integrity and Misconduct policy (http://ppl.app.uq.edu.au/content/3.60.04-student-integrity-and-misconduct) which makes a comprehensive statement about the University's approach to plagiarism, including the approved use of plagiarism detection software, the consequences of plagiarism and the principles associated with preventing plagiarism.

Applications for Extensions

·         Medical grounds: Applications for extension on medical grounds shall be made by lodging the Application for Extension of Progressive Assessment form and supporting documentation at the location outlined in Section 5.3 of the Electronic Course Profile for the course concerned.

·         Exceptional circumstances: Applications for extension on the grounds of exceptional circumstances shall be made to the relevant Course Coordinator/Program Director by lodging the Application for Extension of Progressive Assessment form and a personal statement outlining the grounds for the application at the location and by the due date outlined in Section 5.3 of the Electronic Course Profile for the course in which this application is made. If the exceptional circumstances are such that the student cannot reasonably be expected to have complied with these conditions, a case should be made as to why these conditions could not be met.

·         Outcome of application: Students will be advised of the outcome of their application via their student email.

Feedback on Assessment
Feedback is essential to effective learning and students can expect to receive appropriate and timely feedback on all assessment. For a detailed explanation of the feedback you are entitled to, you should consult the policy on Student Access to Feedback on Assessment. (https://ppl.app.uq.edu.au/content/3.10.02-assessment)

As a student you have a responsibility to incorporate feedback into your learning; make use of the assessment criteria that you are given; be aware of the rules, policies and other documents related to assessment; and provide teachers with feedback on their assessment practices.

There are certain steps you can take if you feel your result does not reflect your performance. Please refer to the myAdvisor web site. (http://www.uq.edu.au/myadvisor/index.html?page=2953)

Feedback in this Course

Feedback on any aspects of the course can be emailed to the course coordinator.

School of Information Technology and Electrical Engineering Assessment Guidelines

Misconduct

Further to the statement on academic integrity and plagiarism above, students are required to read and understand the ITEE policy on Student Misconduct (http://www.itee.uq.edu.au/itee-student-misconduct-including-plagiarism).

Examination Conduct

Examinations will be conducted in accordance with section 1A Division 2 of the University’s General Award Rules (http://www.uq.edu.au/myadvisor/university-rules). 

Non-attendance at Examinations

If you miss a mid-semester or final examination due to exceptional circumstances, you may be entitled to a deferred examination. For information on deferred examinations, refer to myAdvisor http://www.uq.edu.au/myadvisor/index.html?page=2995.

Examination Feedback

Students wishing to view examination answer scripts and/or question papers should consult with the School office (Room 425, General Purpose South Building [78], St Lucia) regarding arrangements. The ITEE policy on exam script viewing is available at http://www.itee.uq.edu.au/script-viewing.

Supplementary Assessment

If you fail this course you may be eligible for supplementary assessment - see the general award rules and/or your program rules for details. You should note that even though you may be eligible for supplementary assessment under these rules, in some circumstances there may be no practical assessment that can be offered to allow you to meet the minimum passing requirements. These circumstances may include failure based on:

·         group or team based assessment;

·         attendance or class participation requirements;

·         laboratory-based assessment, where laboratories can't practically be made available after classes have finished;

·         project or thesis-based assessment, where a significant period of time would be required to undertake supplementary assessment;

·         progressive assessment, where subsequent assessment items build on earlier assessment items; or

·         multiple assessment items, where it is impractical to offer multiple supplementary assessment items.

If the course coordinator determines that there is no practical supplementary assessment that can be offered to allow you to improve your grade, then you will not be offered supplementary assessment and your grade will remain unchanged.

6.2 Other Policies and Guidelines

University Policies and Guidelines

Placement Courses
Students on a placement course – also known as a work placement, internship, industry study, industry experience, clinical practice, clinical placement, practical work, practicum, fieldwork, teaching practice – should refer to the University policy, Placement Courses (https://ppl.app.uq.edu.au/content/3.10.04-placement-courses) for detailed information.
 
Working with Children
Students whose studies include a professional/work placement, internship, clinical practice, teaching practice or other similar activity which involves them in regular contact with children should refer to the University policy, Working with Children Check - "blue card" (http://ppl.app.uq.edu.au/content/1.60.07-working-children) to find out how to apply for a ‘blue card’.
 
Students with a Disability
Any student with a disability who may require alternative academic arrangements, including assessment, in the course/program is encouraged to seek advice at the commencement of the semester from a Disability Advisor at Student Services. Refer to the University policy, Students with a Disability (Disability Action Plan) (https://ppl.app.uq.edu.au/content/3.50.08-alternative-academic-arrangements-students-disability) and to the policy on Special Arrangements for Examinations for Students with a Disability (https://ppl.app.uq.edu.au/content/3.50.09-arrangements-reasonable-adjustments-examinations-students-disability#Procedures).

While it is the responsibility of the relevant faculty to liaise with professional and registration bodies regarding the acceptability of any adjustment to an academic program, the University Health Service can arrange appropriate advice and assistance on personal and public health issues.

Occupational Health and Safety
Undergraduate and Postgraduate Students  should be familiar with the University policies on occupational health and safety in the laboratory (https://ppl.app.uq.edu.au/content/2.30.14-occupational-health-and-safety-laboratory).

Other School of Information Technology and Electrical Engineering Guidelines

Workplace (Occupational) Health & Safety (WH&S; OH&S) in ITEE

The School of ITEE takes its obligations to WH&S very seriously. WH&S is e
verybody’s responsibility, both the School’s and the students’. The School has worked to ensure that WH&S processes are effective and that assessments are kept up to date. Students must take the time to familiarise themselves with these procedures and assessments.

Before entering any ITEE lab, students must read the student edition of ‘OH&S in the Laboratory’ and complete the Safety Declaration Form to be found there. In addition, students must complete the ‘Student OH&S Induction’ on Blackboard (under "My Communities").

Other relevant information on WH&S in the School is to be found at the School's WH&S website including links from that page to the Risk Assessment Register and Electrical Safety.

Students, please ensure, by reading the information just referenced and completing the OH&S Induction and Safety Declaration Form as appropriate, that you are an active participant in a safe learning environment.
 
Medical Conditions that may affect safety
 
Persons suffering from any condition likely to compromise their own safety or the safety of others whilst in an Engineering Lab (such as colour blindness, epilepsy etc) must inform the school before access to labs is sought.
 
Ethical Clearance

If your course involves assignment or project work involving human subjects or human-related materials, you must investigate the need for ethical clearance and obtain it when required. Information on ethical clearance can be found at http://www.uq.edu.au/research/rid/human-guidelines .

Grievances

If you have a grievance about this course you should, in the first instance, contact the course coordinator. If a satisfactory reply is not received, please contact the ITEE Director of Coursework Studies, Dr Stephen Viller.

Other Course Guidelines

In the event of a major emergency (e.g., hospitalization), where, at the discretion of the course coordinator it is not possible to conduct deffered assessment, it may be possible to request a "bye" on an assessment, in which the piece of assessment is not counted in the course grade (i.e., the final average is computed without the item).  Please see the Course Coordinator as expeditiously as possible after the emergency.  Supplementary assessment is limited to the final exam only.

 


Learning Summary

 

Below is a table showing the relationship between the learning objectives for this course and the broader graduate attributes developed, the learning activities used to develop each objective and the assessment task used to assess each objective.

Learning Objectives

After successfully completing this course you should be able to:

1  Demonstrate the role of the Fourier, Laplace and z-transforms, poles and zeros in the analysis of continuous-time and discrete-time signals and systems.
2  Calculate Laplace and z-transforms and their inverses and be able to use them to solve differential and difference equations
3  Understand the Nyquist sampling theorem and its implications in signal and image processing systems
4  Analyze the concepts of amplitude distortion, phase distortion and group delay in filters
5  Design continuous-time and discrete-time filters
6  Identify random processes and the principals of stochastic signal processing
7  Explain the computational benefits of the Laplace and Fourier transforms in system characterisation.
8  Understand images as two-dimensional signals, their acquisition and the extension of the common DSP techniques to images.
9  Appreciate the architectural features necessary for digital signal processors and obtain hands-on experience with DSP programming.
10  Express Linear Systems computations and algorithms in MATLAB
11  Comprehend the broad applicability of signal and image processing for further studies in this field, especially in communications and in biomedical signal processing
12  Appreciate the advantages of the time-frequency analysis in analog and digital signals.


Assessment & Learning Activities

  Learning Objectives
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Learning Activities
Course Lectures (Lecture Series)
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Laboratory Sessions (Practical)        
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Tutorial Sessions (Tutorial)
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Assessment Tasks
Problem Set 1
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Online Quiz
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Problem Set 2
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Problem Set 3
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Final Examination
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Graduate Attributes

Successfully completing this course will contribute to the recognition of your attainment of the following UQ (Undergrad Pass) graduate attributes:

  Learning Objectives
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Graduate Attributes
A IN-DEPTH KNOWLEDGE OF THE FIELD OF STUDY
A1. A comprehensive and well-founded knowledge in the field of study.
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A4. An understanding of how other disciplines relate to the field of study.      
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A5. An international perspective on the field of study.                    
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B EFFECTIVE COMMUNICATION
B1. The ability to collect, analyse and organise information and ideas and to convey those ideas clearly and fluently, in both written and spoken forms.
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B2. The ability to interact effectively with others in order to work towards a common outcome.  
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B3. The ability to select and use the appropriate level, style and means of communication.                  
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B4. The ability to engage effectively and appropriately with information and communication technologies.                
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C INDEPENDENCE AND CREATIVITY
C1. The ability to work and learn independently.        
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C3. The ability to generate ideas and adapt innovatively to changing environments.
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C4. The ability to identify problems, create solutions, innovate and improve current practices.              
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D CRITICAL JUDGEMENT
D1. The ability to define and analyse problems.
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D2. The ability to apply critical reasoning to issues through independent thought and informed judgement.
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D3. The ability to evaluate opinions, make decisions and to reflect critically on the justifications for decisions.                  
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E ETHICAL AND SOCIAL UNDERSTANDING
E1. An understanding of social and civic responsibility.                    
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E2. An appreciation of the philosophical and social contexts of a discipline.                    
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E4. A knowledge and respect of ethics and ethical standards in relation to a major area of study.                        
E5. A knowledge of other cultures and times and an appreciation of cultural diversity.