Postgraduate - UnitFIT5137 - Database analysis and processing

This unit entry is for students who completed this unit in 2014 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

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6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered, or view unit timetables.

Level	Postgraduate
Faculty	Faculty of Information Technology
Offered	Caulfield First semester 2014 (Off-campus) Caulfield First semester 2014 (Evening) Caulfield Second semester 2014 (Day) Caulfield Second semester 2014 (Off-campus)

Synopsis

This unit looks at the design and implementation issues of database management systems. Advanced database design using multi-dimensional database design and semi-structured database design are explored. Online analytical query language will be explored in the context of multi-dimensional database design. Query optimisation and tuning will be explored, as well as semi-structure database design and query processing.

Outcomes

On successful completion of this unit students should be able to:

design multi-dimensional databases;
use fact and dimensional modelling;
implement online analytical query language;
explain query optimisation and its impact on multi-dimensional design.

Assessment

Examination (3 hours): 60%; In-semester assessment: 40%

Chief examiner(s)

Associate Professor David Taniar

Workload requirements

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.

Prerequisites

(FIT5132 or FIT9003 or FIT9019) or equivalent
Knowledge of relational database principles, including SQL.

Prohibitions

FIT4038