Course Title: Modify DSP based sub-systems
Part B: Course Detail
Teaching Period: Term2 2013
Course Code: EEET6774C
Course Title: Modify DSP based sub-systems
School: 130T Vocational Engineering
Campus: City Campus
Program: C6083 - Advanced Diploma of Electronics and Communications Engineering
Course Contact: Gita Pendharkar
Course Contact Phone: +61 3 99254701
Course Contact Email: gita.pendharkar@rmit.edu.au
Name and Contact Details of All Other Relevant Staff
Gita Pendharkar
Tel: + 613 99254701
gita.pendharkar@rmit.edu.au
Fax:99254377
Nominal Hours: 80
Regardless of the mode of delivery, represent a guide to the relative teaching time and student effort required to successfully achieve a particular competency/module. This may include not only scheduled classes or workplace visits but also the amount of effort required to undertake, evaluate and complete all assessment requirements, including any non-classroom activities.
Pre-requisites and Co-requisites
There are no pre-requisites and co-requisites for this course.
Course Description
This unit covers modifying electronic DSP based sub-systems. It encompasses working safely, following design brief, apply knowledge of digital and analogue devices, interpreting device specifications, constructing prototypes, testing developed system prototype operation and documenting design and development work.
National Codes, Titles, Elements and Performance Criteria
National Element Code & Title: |
UEENEEH084B Modify DSP based sub-systems |
Element: |
1. Prepare to modify DSP based systems. |
Performance Criteria: |
1. Prepare to modify DSP based systems 2.1 OHS risk control measures and procedures are followed. 3.1 DSP based system modification is presented and explained to client representative and/or other relevant person(s). |
Learning Outcomes
Refer to Part B Course Guide
Details of Learning Activities
Learning and simulated work activities to demonstrate an understanding of the following:
Classroom learning activities involve the understanding of following topics:
Types of signals, DSP Block diagram,
Applications and Advantages of DSP over Analog Signal processing
Sampling Theorem, Oversampling, Undersampling
A/D Conversion, and D/A Conversion
Z Transforms and inverse Z Transforms
Digital Filters (FIR and IIR) and their applications
This course is accredited by Engineers Australia.
Engineering employment requires the capacity to work effectively in teams, to communicate effectively in both oral and writing and to learn effectively. In order to prepare students for employment as graduates they will be provided a quality assured teaching and learning environment which is conductive to the development of adult learning. Adult learning is characterised by the students accepting responsibility for their own learning and actively participating in the learning process as individuals and as contributors to the teams. Adult learning is the hallmark of a professional. The specific responsibilities as adult learners in respect of this subject are:
. to be aware of and to observe the regulations related to plagiarism
. to submit (on time) all work for assessment as required
. to complete all pre-reading and preparatory work prior to the class for which it will be used
. to effectively use the academic staff resources provided (consultation time, tutors, e- mail etc)
. to participate as an effective and honest member of a learning team
. to contribute effectively to a group of peers in a climate of mutual respect and to question each other and the academic staff when uncertain
Teaching Schedule
Weekly Topics Delivered & Assessment Tasks
1 Introduction to DSP Course
UEENEEH084B 1.1, 1.2
Assignment 1 handed
2 Types of signals and Systems
UEENEEH084B 1.3 - 1.5
3 Time Domian and Frequency Domain Signals
UEENEEH084B 2.1
Assignment 1 Due (5%)
Assignment 2 handed
4 Discrete Time Signals
UEENEEH084B 2.1 - 2.2
5 Analog to Digital Conversion Process
Sampling and Quantization
UEENEEH084B 2.2 - 2.3
6 Digital to Analog Conversion Process
Constraints of Real Time Processing
UEENEEH084B 2.2-2.3
7 Spectrum Representation
UEENEEH084B 2.2- 2.4
Assignment 2 Due (10%)
Assignment 3 handed
8 Convolution Theory
UEENEEH084B 2.5 - 2.7
9 Introduction to Digital Filters
UEENEEH084B 2.8
10 Finite Impulse Response Filters
UEENEEH084B 3.1 - 3.2
Assignment 3 Due(10%)
Major assignment handed
11 Finite Impulse Response Filters cont.
UEENEEH084B 3.1 - 3.2
12 Infinite Impulse Response Filters
UEENEEH084B 3.1 - 3.3
13 Z Transform and Inverse
UEENEEH084B 2.2 - 2.3
14 Application of FIR and IIR Filters
UEENEEH084B 3.3 - 3.4
15 Revision
UEENEEH084B 1.1 - 3.4
16 Major assignment due
UEENEEH084B 3.1 - 3.3
Major Assignment (4) Due(15%)
17 Centralised exam week
Final Exam (Wk 17 or 18)
18 Centralsied exam week
Learning Resources
Prescribed Texts
DSP First, A Multimedia Approach, by James H. McClellan, Ronald W. Schafer, Mark A. Yoder |
0-13-243171 |
References
Other Resources
Assignment sheets will be available on the school’s local drive S:\ and DLS.
Overview of Assessment
This is a progressive assessment, the students are required to undertake summative assessments as follows:
A. Matlab Assignments
B. DSP Simulation Project
C. Written assignment/test
The students will be required to demonstrate their Matlab assignments and the DSP project as a part of assessment.
Assessment Tasks
This competency is assessed progressively. The assessment consisting of the following tasks:
1. Assignments (40%)
The students will have to complete a minimum of four DSP assignments as specified by the teacher and demonstrate their work. The reports for the assignments should be submitted by each student individually.
2. Written Exam : 60%
The students will have one written exam to demonstrate their theoretical knowledge based on Digital Signal Processing as detailed in the course.
This course is graded using the following course grades-
CHD- Competent with High Distinction
CDI- Competent with Distinction
CC- Competent with Credit
CAG- Competency Achieved - Graded
NYC- Not Yet Competent
DNS- Did Not Submit for Assessment
Make sure you understand the special consideration policy available at -
http://www.rmit.edu.au/browse;ID=qkssnx1c5r0y
Assessment Matrix
Other Information
The minimum number of student directed hours for this course are 16 hours in addition to 64 scheduled teaching hours. Student directed hours must involve completing activities such as reading online resources, working on assignments, practising matlab exercises, preparation for exam and student-teacher course related consultation.
They are limited opportunities for students to carry out industry work experience at overseas companies. In such cases, students are graded based on industry supervisor’s assessment of student performance (30%), written technical and cultural reports (40%) , oral presentation of reports (20%), and journal or e-portfolio (10%).
Study and learning Support:
Study and Learning Centre (SLC) provides free learning and academic development advice to all RMIT students.
Services offered by SLC to support numeracy and literacy skills of the students are:
- Assignment writing, thesis writing and study skills advice
- Maths and science developmental support and advice
- English language development
Please refer http://www.rmit.edu.au/studyandlearningcentre to find more information about Study and Learning Support.
Disability Liaison Unit:
Students with disability or long-term medical condition should contact Disability Liaison Unit to seek advice and support to complete their studies.
Please refer http://www.rmit.edu.au/disability to find more information about services offered by Disability Liaison Unit.
Late submission:
Students requiring extensions for 7 calendar days or less (from the original due date) must complete and lodge an Application for Extension of Submittable Work (7 Calendar Days or less) form and lodge it with the Senior Educator/ Program Manager.
The application must be lodged no later than one working day before the official due date. The student will be notified within no more than 2 working days of the date of lodgment as to whether the extension has been granted.
Students seeking an extension of more than 7 calendar days (from the original due date) must lodge an Application for Special Consideration form under the provisions of the Special Consideration Policy, preferably prior to, but no later than 2 working days after the official due date.
Assignments submitted late without approval of an extension will not be accepted or marked.
Special consideration:
Please refer http://www.rmit.edu.au/browse;ID=riderwtscifm to find more information about special consideration.
Plagiarism:
Plagiarism is a form of cheating and it is very serious academic offence that may lead to expulsion from the University.
Please refer: www.rmit.edu.au/academicintegrity to find more information about plagiarism.
Email Communication:
All email communications will be sent to your RMIT email address and you must regularly check your RMIT emails.
Course Overview: Access Course Overview