Download COM617

MODULE SPECIFICATION FORM
Module Title:
Advanced Databases
Module code:
COM617
Existing/New:
Semester(s) in which to
be offered:
New
Originating Subject:
Module duration
(contact hours/
directed/directed
private study:
Level:
1&2
6
Credit Value:
With effect
from:
20
September
2011
Title of module being
replaced (if any):
Computing
(60/60/
80)
Module
Leader:
Status: core/option/elective
(identify programme where
appropriate):
Percentage taught by Subjects other than
originating Subject (please name other
Subjects):
Programme(s) in which to be
offered:
BSc (Hons) Applied
Computing
BSc (Hons) Computer
Network Management and
Security
BSc (Hons) Mobile
Computing
BSc (Hons) Creative Media
Computing
Bindu Jose
Option
0%
Pre-requisites per
programme (between levels):
Co-requisites per programme
(within a level):
None
Module Aims:
This module aims to extend the students' knowledge of database system technology by
introducing them to a number of advanced topics and techniques. Topics covered include
Client/server application development, data warehousing, data mining, online analytical
processing, object-orientated databases and other advanced database topics.
Academic Office:
Expected Learning Outcomes
At the end of this module, students should be able to:
Knowledge and Understanding:
1. Critically assess some of the more advanced developments in database technology
e.g.
Object-Oriented databases, Distributed databases. SQL standards. ObjectRelational databases, Multidimensional Database, Multimedia Databases,
Mobile Databases
2. Evaluate the current issues associated with theory to practical implementations in
database research.
3. Study advanced aspects of data warehousing and data mining, encompassing the
principles, research results and commercial application of the technologies.
4. Critically evaluate the adoption/use of data warehouse systems and business
intelligence practices for achieving organisational benefits.
Transferable/Key Skills and other attributes:
a.
b.
c.
d.
Express ideas in writing and orally.
Solve problems using appropriate tools/methods.
Evaluate alternatives.
Use computing software effectively
Assessment: please indicate the type(s) of assessment (eg examination, oral, coursework,
and project) and the weighting of each (%). Details of indicative assessment tasks must
be included.
Assessment of this unit will be through a combination of two in-course assignments. The
students will be expected to develop skills in completing the assignments as each will be an
integral part of the learning process.
Assessment
Learning
Outcomes to
be met
Type of assessment
Weighting
Duration
(if exam)
Word count
or equivalent
if appropriate
Assessment
One :
Assessment
Two :
1,2 & 3
Coursework
50%
2500
Coursework
50%
2500
1,2,& 4
Learning and Teaching Strategies:
The module will be taught using a mixture of lectures, laboratory workshops, tutorial
sessions, and self-study exercises. The lectures will normally introduce the various concepts
and principles of the module’s topics.
Each lecture will normally be followed either by a laboratory workshop or a tutorial session.
Students will also disseminate and discuss information through student-led seminars and
peer group discussion.
It is our belief that students learn more effectively when they are actively involved in learning
Academic Office:
activities that reinforce the theories that are being discussed in class.
For the self-study exercises and assessment, students are expected to spend time on
unsupervised work in the computer laboratories and in private study.
Syllabus outline:
Advanced Data Models: object-oriented, object-relational, object-orientated, extensible
databases
Object-oriented DBMS': functionality; languages, products.
Applications: Use of Databases: Multidimensional database, Data Mining, Data
Warehousing, Multimedia Database, Mobile Database
Emerging Technologies and Trends in database management systems: A review of
current technologies, the issues raised by them, and outstanding problems of current and
future database management technologies
Bibliography
(please submit in Harvard referencing format)
Indicative Reading:
Connolly, T.M. and Begg, C.E. (2010), Database Systems - A Practical Approach to Design
Implementation and Management 5th Edition, Pearson Education;
Elmasri, R., Navathe S.B. (2011), Fundamentals of Database Systems, 6th Edition, Pearson
Education
Ritchie C. (2008), Database Principles and Design 3rd Edition. Course Technology;
Kimball, R., Ross, M., Thornthwaite, W., Mundy, J., Becker, B., (2008), The Data Warehouse
Lifecycle Toolkit, 2nd Edition, Wiley
Giudici, P., Figini, S. (2009), Applied Data Mining for Business and Industry, 2nd Edition,
Wiley
Journals
ACM Digital Library (available electronically through the library)
Academic Office: