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FIT2094: Databases

6 points, SCA Band 2, 0.125 EFTSL

Undergraduate – Unit

Refer to the specific census and withdrawal datesfor the semester(s) in which this unit is offered.

Faculty

Information Technology

Offered

Clayton

  • First semester 2018 (On-campus)
  • Second semester 2018 (On-campus)

Malaysia

  • First semester 2018 (On-campus)

South Africa

  • Second semester 2018 (On-campus)

Prerequisites

One of FIT1040, FIT1045, FIT1048, FIT1051 or equivalent introductory programming unit

Prohibitions

FIT1004, FIT3171

Synopsis

This unit will provide an introduction to the concepts of database design and usage and the related issues of data management. Students will develop skills in planning, designing, and implementing a data model using an enterprise-scale relational database system (Oracle). Methods and techniques will also be presented to populate, retrieve, update and implement integrity features on data in the implemented database system.

Outcomes

At the completion of this unit, students should be able to:

  1. explain the motivations behind the development of database management systems;
  2. describe the underlying theoretical basis of the relational database model and apply the theories into practice;
  3. develop a sound database design;
  4. develop a database based on a sound database design;
  5. construct queries that meet user requirements;
  6. develop a simple web-based interface for a database;
  7. use data modelling and database development tools effectively.

Assessment

Examination (2 hours): 50%; In-semester assessment: 50%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

  1. Contact hours for on-campus students:
    • Two hours lectures
    • Two hours laboratories
  2. Additional requirements (all students):
    • A minimum of 8 hours of personal study time in order to satisfy the reading, tute, prac and assignment expectations.

Chief examiner(s)

Mr Lindsay Smith

This unit applies to the following area(s) of study

Business analytics
Data science
Software development

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