Course Title: Modify DSP based sub-systems
Part B: Course Detail
Teaching Period: Term2 2011
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 |
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
Teaching Schedule
Week Topics Delivered
Week | 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 Due(15%) |
17 | Centralised exam week | Final assessment (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 is a progressive assessment consisting of the following:
Assessment tasks:
(Written Assessment):
Digital Signal Processing 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.
Written Assessment : 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%).
Course Overview: Access Course Overview