UnitLevel 5Postgraduate

FIT5137 Advanced database technology

Faculty of Information Technology

FIT5137 Advanced database technology is a level 5, 6-credit-point, postgraduate unit from the Faculty of Information Technology, offered in 2022 in Semester 2 at Clayton. It needs FIT9132.

Credit points
6
Offered in 2022
Semester 2
Clayton
Assessment
Exam 60%
and 4 other tasks
Workload
144 hours
per semester

This is the 2022 handbook entry. See the 2027 entry.

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Requisites

Before FIT5137

Prerequisites

Pass these before you enrol.

After FIT5137

No unit lists FIT5137 as a prerequisite in the 2022 handbook.

Enrolment rules

Prerequisites: 

For students enrolled in E3001, E3002, E3005, E3010, E3011, E3007 completing the Software Engineering specialisation: FIT3171.

Knowledge of relational database principles, including SQL.

Prohibition:

FIT4038

Overview

This unit examines advanced database technology. This unit particularly covers three main types of advanced database technologies, including (i) document store, (ii) wide column store, and (iii) graph database. These three systems represent the broad spectrum of NoSQL databases. The underlying theoretical foundations, such as database modelling, transactions, and graph query processing will also be explored.

Offerings in 2022

Teaching periodCampusMode
Second semesterClaytonOn campus

Assessment

  • Assignment 1AssignmentThreshold hurdle
    20%
  • Assignment 2AssignmentThreshold hurdle
    10%
  • FLUX ParticipationParticipationThreshold hurdle
    5%
  • Tutorial workOtherThreshold hurdle
    5%
  • Scheduled final assessment (2 hours and 10 minutes)ExamThreshold hurdle
    60%

Learning outcomes

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

  1. 1

    Describe various types of non-relational database systems, including NoSQL;

  2. 2

    Design and model document-store and wide column-store databases;

  3. 3

    Compare and contrast between relational and non-relational database modelling;

  4. 4

    Explain the concepts of transactions in non-relational systems;

  5. 5

    Implement document-store and wide column-store systems;

  6. 6

    Construct applications using a graph database system;

  7. 7

    Demonstrate graph query processing.

Workload and teaching

  • Laboratories22 hours
  • Lectures24 hours
  • Teaching approachActive learning

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning and online engagement. The labs start from Week 2.

Learning resources

Technology resources

MongoDB, Apache Cassandra, and Neo4j.

Where it fits

FIT5137 is part of 2 areas of study in the 2022 handbook.

Contacts

Chief Examiners
Associate Professor David Taniar
Unit Coordinators
Dr Choiru Za'in

Common questions

What are the prerequisites for FIT5137?

You need FIT9132 before you enrol. Enrolment rules also apply.

When is FIT5137 offered?

In 2022, FIT5137 runs in Semester 2 at Clayton.

How much work is FIT5137?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does FIT5137 have an exam?

Yes. The exam is worth 60% of the final mark, alongside 4 other tasks.

Which majors and minors include FIT5137?

FIT5137 is part of Computational science and Software engineering.

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
Available