MN405 - Data and Information Management

Credit Points: 20

Prerequisite: N/A

Co-requisite: N/A

Workload: 60 contact hours

Campus: Melbourne, Sydney

Aims & Objectives

This is a core unit out of a total of 6 units in the Graduate Diploma of Networking (GDNet) and 12 units in the Master of Networking (MNet) in the non-cognate stream. This unit addresses the GDNet and MNet course learning outcomes and complements other courses in a related field by developing students’ specialised knowledge in network fundamentals data and information management. For further course information refer to: http://www.mit.edu.au/study-with-us/programs/graduate-diploma-networking and http://www.mit.edu.au/study-with-us/programs/master-networking. This unit is part of the AQF level 8 (GDNet) and AQF level 9 (MNet) courses.

Network data is a valuable corporate asset and its effective management can be vital to an organisation’s success. This unit introduces the concepts of fundamental networking, and the application of database management systems in managing data and information assets of an organisation. This unit covers the key areas of data management, including database development and corporate data modelling.

An introduction to the concepts and issues relating to data warehousing, governance, administration, security and privacy and alternative database structures are presented. The unit concentrates upon building a firm foundation in information representation, organisation and storage with particular emphasis upon the application of database systems.

This unit will cover the following topics:

  1. Fundamental of networking, OSI models.
  2. Database: Introduction to database management systems, the advantages and disadvantages of the database approach.
  3. Data Modelling: Modelling concepts, entity-relationship model, converting an entity-relationship model to a relational model.
  4. Information Systems: Database systems in the context of information systems. Types of information systems. Organization and management theories.
  5. Relational Model: Primary keys, foreign keys, referential integrity, relational algebra, structured query language (SQL), normalisation.
  6. Other Database Models: Distributed Databases, Object-oriented databases, data warehousing.
  7. Transaction Processing: Security, Recovery, Concurrency control, locking and deadlocks, time-stamping, backup and queries

Learning Outcomes

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

  1. Understand the fundamental priniciples of the networking and data requirements of a network.
  2. Identify organisational information requirements.
  3. Model organisational information requirements using conceptual data modelling techniques.
  4. Convert the conceptual data models into relational data models and verify its structural characteristics with normalisation techniques.
  5. Implement and utilise a relational database using a database system.

Teaching Method

Lecture: 2 hours
Laboratory: 2 hours
PBL Tutorial: 1 hours
Face to Face

Assessment

Assessment Task
Learning Outcomes Assessed
Weighting
Midterm Test a,b*10%
Assignment 1c,d*20%
Assignment 2a-e*20%
Laboratory and Problem Based Learning participation & submissiona-e*10%
Final Examination (2 hours)a-e*40%
Total 100%

*refer to learning outcomes above.

Textbook

  • W. Stallings, Data and Computer Communications, 10th ed. Prentice Hall, USA, 2014
  • P. J. Pratt and M. Z. Last , Concepts of database management, 8th ed. Thomson Course Technology, 2015

Reference Reading

  • M. Palmer, Hands on Networking Fundamentals, 2nd ed. Cengage Learning, 2012
  • K. Gordon, Principles of Data Management: Facilitating information sharing, 2nd ed. BCS, The Chartered Institute for IT; 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
       

Legend

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