UnitLevel 5Postgraduate

FZA5195 Business intelligence and data warehousing

Faculty of Information Technology

FZA5195 Business intelligence and data warehousing is a level 5, 6-credit-point, postgraduate unit from the Faculty of Information Technology. It isn't offered in 2020. It needs FIT9132.

Credit points
6
Offered in 2020
Not offered
Workload
12 hours
per semester

The 2027 handbook has no page for FZA5195. This is its 2020 entry, the latest one.

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Requisites

Before FZA5195

Prerequisites

Pass these before you enrol.

Prohibitions

You can't enrol if you have passed any of these.

After FZA5195

No unit lists FZA5195 as a prerequisite in the 2020 handbook.

Equivalent units

The same content under another code. Only one of them counts.

Overview

This unit is intended to provide students with a framework for understanding business intelligence systems as well as the provision of high quality, integrated data for decision support through data warehousing. The unit has a particular focus on the evolutionary process of developing data warehousing using relational database management systems, and multi-dimensional modelling for structuring business intelligence data. The unit also presents students with coverage of several important aspects of data warehousing, including architecture, design, implementation, and optimisation. The unit will present this material using relevant research, case studies and practical exercises. Students will develop data warehouse modelling and OLAP using relational database management systems.

Offerings in 2020

The 2020 handbook lists no offerings for FZA5195.

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    describe the scope and application of data warehousing

  2. 2

    design data warehousing systems

  3. 3

    design multidimensional data models using star schemas

  4. 4

    implement data warehousing in relational databases

  5. 5

    use OLAP in SQL

  6. 6

    explain the need for data warehousing architecture

  7. 7

    explain query optimisation and its impact on multi-dimensional design

Workload and teaching

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

  • 2 hours of lectures
  • One 2-hour laboratory

(b.) Study schedule for off-campus students:

  • Off-campus students generally do not attend lecture and tutorial sessions, however should plan to spend equivalent time working through the relevant resources and participating in discussion groups each week.

(c.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

Common questions

What are the prerequisites for FZA5195?

You need FIT9132 before you enrol.

When is FZA5195 offered?

FZA5195 has no offerings listed in the 2020 handbook.

How much work is FZA5195?

The handbook expects about 12 hours of study across the semester. No students have rated its difficulty yet.

More details

Credit points
6
Level
5
Study level
Postgraduate
Faculty
Faculty of Information Technology
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Not available
Handbook years
2020