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2. Create a schema diagram for the data
warehouse using Star schema.
3. Develop model using various data mining
techniques.
Synopsis of Course Content
The course consists of the following components:
(a) Introduction to Data Warehouse and Data
Mining; (b) Data Warehouses; (c) Pre-mining; (d)
Classification; (e) Association Rules; (f) Clustering
Algorithms.
Assessment Methods
Continuous Assessment: 50%
Final Examination: 50%
WIE3008
BUSINESS ANALYTICS AND INTELLIGENCE
Credit:
3
Course Pre-requisite(s):
WIA2001 Database
Medium of Instruction:
English
Learning Outcomes
1. Explain the concept of BI and implementation
of Data warehouse.
2. Integrate data from different sources.
3. Use suitable methods and techniques to
analyse OLAP data to solve business
problems.
Synopsis of Course Content
This course discusses Online analytical processing
(OLAP), Data warehouses and data Dimensional
modelling, Extract Transform Load (ETL) design,
and statistical and mining approaches to improve
business. It also covers report design, development
and emerging trends in business intelligence.
Assessment Methods
Continuous Assessment: 70%
Final Examination: 30%
WIE3009
ENTERPRISE SYSTEM DESIGN AND
IMPLEMENTATION
Credit:
3
Course Pre-requisite(s)
:
None
Medium of Instruction:
English
Learning Outcomes
1. Identify the basic concepts of enterprise
systems.
2. Describe key issues about the development,
implementation, and management of Enterprise
Systems;
3. Apply the benefits of Enterprise Systems.
Synopsis of Course Content
This course is designed to provide a comprehensive
insight into theoretical foundations, concepts, tools
and current practice of enterprise systems. It covers
the entire design process for an enterprise, includes
design of the information, process, and
organization. It covers enterprise design methods,
enterprise architecture, requirements analysis,
enterprise strategy, process design, information
design, organization design and the integration of
the enterprise.
Assessment Method
Continuous Assessment: 50%
Final Examination: 50%
WIE3010
DATA VISUALIZATION
Credit:
3
Course Pre-requisite(s)
:
None
Medium of Instruction:
English
Learning Outcomes
1. Explain concepts and techniques relevant to
data visualization, i.e.; data aspects, modeling
concepts, and visualization techniques.
2. Apply suitable visualization techniques to
appropriate datasets.
3. Use appropriate tools to analyze, and
present/visualize data.
Synopsis of Course Content
This course begins by introducing the concepts of
data visualization vs infographics. It provides
students with the knowledge of where data can be
found (data sources), how data can be acquired and
how data can be analyzed and presented. It
explains topics such as modeling concepts, data
aspects, and visualization techniques. Techniques
for visualizing multivariate, temporal, text-based,
geospatial, and other types of data are taught.
Students will be exposed to a few tools; to
capture/import data, to analyze data and to visualize
data.
Assessment Methods
Continuous Assessment: 50%
Final Examination: 50%
WIE3011
STRATEGIC INFORMATION SYSTEMS AND
MANAGEMENT
Credit:
3
Course Pre-requisite(s) :
None
Medium of Instruction:
English
Learning Outcomes
1. Recognize various types of information
systems that are used in business.
