UNIVERSITY MODULAR FRAMEWORK -MODULE SPECIFICATION

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Nov 24, 2013 (3 years and 6 months ago)

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This module specification was produced using the Academic Database on
24
-
Nov
-
13


UNIVERSITY MODULAR FRAMEWORK
-
MODULE SPECIFICATION


All items with a star (*) cannot be changed without approval.



SCHOOL *

School of Science and Technology

DIVISION *

ASC Engineering Division

FIELD*

COMPUTER SYSTEMS

MODULE TITLE*

Digital Signal Proces
sing


MODULE CODE *

LEVEL*

CREDIT VALUE*

CO
-
ORDINATOR

CSY3026


6


20


Scott Turner


DELIVERY MODE(S)*

Distance Learning

DELIVERY
LOCATION(S)*

UON

PRE
-
REQUISITES*:

None

CO
-
REQUISITES*:

None

RESTRICTIONS*:

None

SUPPLEMENTARY RE
GULATIONS
*:

This module has no supplementary regulations
.

DESCRIPTION*:



This module is designed provide the student with an understanding of digital signal
processing principles and the ability to program digital signal processing applications.


OVERALL

AIM(S) FOR THE MODULE*


-

Provide an appreciation of Digital Signal Processing.

-

To provide students with an opportunity to apply the principles of Digital Signal
Processing to a range of problems.

This module specification was produced using the Academic Database on
24
-
Nov
-
13


LEARNING OUTCOMES*

need knowledge and understanding and sub
ject
specific skills
:


On successful completion of the module students will have demonstrated their ability
to:

a)

Specify sampling rates and resolution for applications
.

b)

Define the limitations of discrete processing
.

c)

Design processing algorit
hms.

d)

Differentiate between time and frequency domains.

e)

Apply digital signal processing principles to design signal
-
conditioning
applications.

f)

Analyse digital signal processing algorithms.

g)

Implement signal processing algorithms using so
ftware.


Key Skills

On successful completion of the module students will have had the opportunity to:

h)

Show numerically how their algorithms work.

i)

Apply appropriate transforms to problems.

j)

Communicate your ideas mathematically to other engi
neers.


INDICATIVE CONTENT:


-

What is signal processing

-

Revision of Continuous Transforms

-

Sampling Theory

-

Bandwidth

-

Time and Frequency domains

-

Convolution

-

Discrete Transforms

-

Fast Transforms

-

Digital Filtering

-

Advanced Techniques

-

Applications of DSP
.

JUSTIF
ICATION OF TEACHING, LEARNING AND ASSESSMENT STRATEGY*

need justification statement
:

T
EACHING
, L
EARNING
+ A
SSESSMENT

A
CTIVITIES

S
TUDY HOURS

12 x 10 hr Learning Packages


120

Independent study and revision


30

Assignments


50

T
OTAL


200

CONTEXT*

Th
is is delivered in guided learning materials form and delivered to student cohort(s)
taught by UON staff.

This module specification was produced using the Academic Database on
24
-
Nov
-
13


ASSESSMENT STRUCTURE*


Assessment Items

Units

Weighting

Learning Outcomes

AS1
-

3 x CMAs

1

20

a,b,c,d,e,f,g,h,i,j

AS2
-

TMA 01

2

40

a,b,c,d,e,f,g,h,i,
j

AS3
-

TMA 02

2

40

a,b,c,d,e,f,g,h,i,j

ASSESSMENT CRITERIA

CMA 1 to 3
-

a number of multiple choice questions. The low percentage weighting of
these assessments is included to encourage regular engagement with the module.
The primary aim of these is to pro
vide formative assessment.

TMA1
-

Several numerical and descriptive questions about Digital Signal Processing

TMA2
-

Report considering the area of DSP as a whole, in particular how time
-
frequency techniques could be applied in their organisation.


Standar
d CAF grade criteria will be used in accordance with Section 3.6 of CAF Staff
Handbook. The Study Guide for the Award gives more details of the assessment
strategy. Specific assessment criteria will be issued with each assignment.


APPROVAL/ REVIEW DATES:



Version:
5

Date of approval:
4th December 2002



Revised and approved at PSR
-

May 2009

Revised and approved at PSR


Feb 2014