BN204 - Database Technologies

Credit Points: 15

Prerequisite: N/A

Co-requisite: N/A

Workload: 48 contact hours

Campus: Melbourne, Sydney

Aims & Objectives

This is a first trimester core unit out of a total of 24 units in the Bachelor of Networking (BNet). This unit addresses the BNet course learning outcomes and complements other courses in a related field by developing students’ knowledge and skills in database technologies. For further course information refer to: This unit is part of the AQF Level 7 (BNet) course.

This unit introduces students to the advantages and functionality of Database Management Systems. The unit presents various models of database management systems and data modelling techniques, and discusses general features and capabilities of databases, using an actual system for a practical application. Students will develop skills at using databases and data retrieval techniques using SQL (Structured Query Language).

This unit will cover the following topics:

  1. Database: Introduction
  2. Data Modelling
  3. Information Systems
  4. Relational Model
  5. Distributed Databases
  6. Transaction Processing

Learning Outcomes

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

  1. Describe issues related to the integrity and security of database (DB) systems.
  2. Make an informed and critical assessment of database management systems (DBMS).
  3. Develop data models and implement DB systems.
  4. Analyse business decisions related to DB information systems.
  5. Demonstrate skills in building a database application using a commercially available database management system development tool.

Teaching Method

Lecture: 2 hours
Tutorial/Workshop: 2 hours
Face to Face


Assessment Task
Learning Outcomes Assessed
Midterm Test a,b*10%
Assignment 1a-c*15%
Assignment 2b-e*20%
Laboratory participation & submissiona-e*10%
Final Examination (2 hours)a-e*45%
Total 100%

*refer to learning outcomes above.


  • P. J. Pratt and M. Z. Last, Concepts of database management, 8th ed. Thomson Course Technology, 2015

Reference Reading

  • K. Gordon, Principles of Data Management: Facilitating information sharing, BCS, The Chartered Institute for IT; 2nd ed., 2013
  • Hendrikus and J.A. Van Kuijk, Five Pillars of Knowledge, Information and Data Management, CreateSpace Independent Publishing Platform, 2011
  • P. J. Pratt and M. Z. Last, A Guide to SQL, 9th ed., Boston: Cengage Learning, 2014

MIT is committed to ensure the course is current, practical and relevant so that graduates are “work ready” and equipped for life-long learning. In order to accomplish this, the MIT Graduate Attributes identify the required knowledge, skills and attributes that prepare students for the industry.
The level to which Graduate Attributes covered in this unit are as follows:

Ability to communicateIndependent and Lifelong LearningEthicsAnalytical and Problem SolvingCultural and Global AwarenessTeamwork Cooperation, Participation and LeadershipSpecialist knowledge of a field of study


Colour coding    

Extent covered

                               The standard  is covered by theory and practice, and addressed by assessed activities in which the students always play an active role, e.g. workshops, lab submissions, assignments, demonstrations, tests, examinations
 The standard is covered by theory or practice, and addressed by assessed activities in which the students mostly play an active role, e.g. discussions, reading, intepreting documents, tests, examinations
 The standard is discussed in theory or practice; it is addressed by assessed activities in which the students may play an active role, e.g. lectures and discussions, reading, interpretation, workshops, presentations 
 The standard is presented as a side issue in theory or practice; it is not specifically assessed, but it is addressed by  activities such as lectures or tutorials
 The standard  is not considered, there is no theory or practice or activities associated with this standard