Course specification for ELE4607

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ELE4607 Advanced Digital Communications

Semester 1, 2020 Online
Short Description: Advanced Digital Communication
Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Mechanical and Electrical Engineering
Student contribution band : Band 2
ASCED code : 031307 - Communications Technologies
Grading basis : Graded

Staffing

Examiner:

Requisites

Pre-requisite: ELE1301 or Students must be enrolled in one of the following Programs: GCEN or METC or GCNS or GDNS or MENS or MEPR

Other requisites

Recommended prior or concurrent study: ELE3107

Rationale

Advanced digital encoding, compression and encryption are vital to modern telecommunications and networks. Engineers operating at the advanced level of telecommunications networks are required to understand, maintain and configure advanced telecommunications systems. Furthermore, they may be required to design new systems involving data compression and encryption.

Synopsis

This course examines the methods used for coding, transmitting and storing continuous signals such as speech, music, images and video. The course covers such topics as data compression, encryption, and error control in a digital transmission system.
The course also seeks to impart an understanding of current research problems in the digital communications field. It is thus suitable for students who may wish to undertake research and development work in this important field.

Objectives

The course objectives define the student learning outcomes for a course. On completion of this course, students should be able to:

  1. describe quantization techniques;
  2. to explain the operation of lossless coding algorithms, and in particular their relationship to data probabilities;
  3. implement transform-domain encoders and decoders;
  4. describe coding algorithms used in speech communications such as linear predictive coding and code-excited linear prediction;
  5. describe coding algorithms used in video communications such as the discrete cosine transform and intraframe predictors;
  6. analyse the computational complexity of coding algorithms and assess their suitability for real-time implementation on DSP systems;

Topics

Description Weighting(%)
1. Principles of quantization 20.00
2. Mathematical transformations 20.00
3. Audio signal modelling 20.00
4. Video signal modelling 20.00
5. Lossless coding algorithms 10.00
6. DSP systems implementation 10.00

Text and materials required to be purchased or accessed

ALL textbooks and materials available to be purchased can be sourced from (unless otherwise stated). (https://omnia.usq.edu.au/textbooks/?year=2020&sem=01&subject1=ELE4607)

Please for alternative purchase options from USQ Bookshop. (https://omnia.usq.edu.au/info/contact/)

Leis, JW 2018, Communication Systems Principles Using MATLAB, John Wiley, NY.
MATLAB (Student Edition), available from USQ Bookshop.

Reference materials

Reference materials are materials that, if accessed by students, may improve their knowledge and understanding of the material in the course and enrich their learning experience.

Student workload expectations

Activity Hours
Assessments 52.00
Examinations 2.00
Lectures 39.00
Private ¾«¶«´«Ã½app 62.00

Assessment details

Description Marks out of Wtg (%) Due Date Objectives Assessed Notes
ASSIGNMENT 1 200 20 22 Apr 2020 1,4,6
ASSIGNMENT 2 200 20 20 May 2020 1,3,6
Online Exam 600 60 End S1 1,2,3,4,5,6 (see note 1)

Notes
  1. This will be an open examination. Students will be provided further instruction regarding the exam by their course examiner via ¾«¶«´«Ã½appDesk. The examination date will be available via UConnect when the official examination timetable has been released.

Important assessment information

  1. Attendance requirements:
    It is the students' responsibility to attend and participate appropriately in all activities (such as lectures, tutorials, laboratories and practical work) scheduled for them, and to study all material provided to them or required to be accessed by them to maximise their chance of meeting the objectives of the course and to be informed of course-related activities and administration.

  2. Requirements for students to complete each assessment item satisfactorily:
    To satisfactorily complete an assessment item a student must achieve at least 50% of the marks or a grade of at least C-. Students do not have to satisfactorily complete each assessment item to be awarded a passing grade in this course. Refer to Statement 4 below for the requirements to receive a passing grade in this course.

  3. Penalties for late submission of required work:
    Students should refer to the Assessment Procedure (point 4.2.4)

  4. Requirements for student to be awarded a passing grade in the course:
    Due to COVID-19 the requirements for S1 2020 are: To be assured of receiving a passing grade a student must achieve at least 50% of the total weighted marks available for the course.

    Requirements after S1 2020:
    To be assured of receiving a passing grade a student must obtain at least 50% of the total weighted marks available for the course (i.e. the Primary Hurdle), and have satisfied the Secondary Hurdle (Supervised), i.e. the end of semester examination by achieving at least 40% of the weighted marks available for that assessment item.

    Supplementary assessment may be offered where a student has undertaken all of the required summative assessment items and has passed the Primary Hurdle but failed to satisfy the Secondary Hurdle (Supervised), or has satisfied the Secondary Hurdle (Supervised) but failed to achieve a passing Final Grade by 5% or less of the total weighted Marks.

    To be awarded a passing grade for a supplementary assessment item (if applicable), a student must achieve at least 50% of the available marks for the supplementary assessment item as per the Assessment Procedure (point 4.4.2).

  5. Method used to combine assessment results to attain final grade:
    The final grades for students will be assigned on the basis of the weighted aggregate of the marks (or grades) obtained for each of the summative assessment items in the course.

  6. Examination information:
    Due to COVID-19 the requirements for S1 2020 are: An Open Examination is one in which candidates may have access to any printed or written material and a calculator during the examination.

    Requirements after S1 2020:
    In a Closed Examination, candidates are allowed to bring only writing and drawing instruments into the examination.

  7. Examination period when Deferred/Supplementary examinations will be held:
    Due to COVID-19 the requirements for S1 2020 are: The details regarding deferred/supplementary examinations will be communicated at a later date.

    Requirements after S1 2020:
    Any Deferred or Supplementary examinations for this course will be held during the next examination period.

  8. ¾«¶«´«Ã½app Student Policies:
    Students should read the USQ policies: Definitions, Assessment and Student Academic Misconduct to avoid actions which might contravene ¾«¶«´«Ã½app policies and practices. These policies can be found at .

Assessment notes

  1. Students must familiarise themselves with the USQ Assessment Procedures (.

  2. Referencing in Assignments must comply with the Harvard (AGPS) referencing system. This system should be used by students to format details of the information sources they have cited in their work. The Harvard (APGS) style to be used is defined by the USQ library’s referencing guide. These policies can be found at

Other requirements

  1. Students will require access to e-mail and internet access to UConnect for this course.

Date printed 19 June 2020