Note: This is an archived Handbook entry from 2016.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2016:Semester 1, Parkville - Taught on campus.
Semester 2, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 36 hours, comprising of 28 hours of seminars (3 hours in weeks 1 and 9-12; 2 hours in weeks 2-8) and 7 hours of labs (1 hour in weeks 2-8) |
Total Time Commitment:
|Recommended Background Knowledge:|| |
|Non Allowed Subjects:|| |
|Core Participation Requirements:||
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.
It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability
CoordinatorDr Greg Wadley
The subject introduces key topics in modern information organization, particularly with regard to structured databases. The well-founded relational theory behind modern structured query language (SQL) engines, has given them as much a place behind the web site of an organization and on the desktop, as they traditionally enjoyed on corporate mainframes. Topics covered may include: the managerial view of data, information and knowledge; conceptual, logical and physical data modelling; normalization and de-normalization; the SQL language; data integrity; transaction processing, data warehousing, web services and organizational memory technologies. This is a core foundation subject for both the Master of Information Systems and Master of Information Technology.
INTENDED LEARNING OUTCOMES (ILOs)
Having completed this unit the student is expected to:
Through the combination of seminars, labs and assignments, students gain expertise and confidence to make informed decisions about database systems and appropriate modelling techniques for the structured informational needs of modern organisations. They will gain considerable hands-on experience in modelling a number of diverse informational situations, drawing upon the first principles and techniques taught, useful to both organisations and individuals.
|Prescribed Texts:|| |
There are no prescribed texts for this subject.
|Recommended Texts:|| |
Hoffer et al. “Modern Database Management” – 9th , 10th , 12th or 12th edition.
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
The student will acquire skills in Information Modelling - a generic skill that will serve the student well throughout a career in Information Systems. Scoping within analysis is also a valuable cross-discipline skill honed during this subject.
LEARNING AND TEACHING METHODS
The subject is delivered in 3 hour classes. Each class will be made up of a combination of lectures, discussions and computer laboratory based learning. Outside class, students will study the practice of database implementation and usage and are encouraged to install and use a DBMS on their own computer as part of the course.
INDICATIVE KEY LEARNING RESOURCES
Whilst there is no single text for this subject, students would be encouraged to utilize one of the many Database textbooks available, there are a number of these in the Library. Additional readings will be made available as necessary via the LMS
CAREERS / INDUSTRY LINKS
This subject is one of the building blocks for most careers in IT. A database makes the management of information possible and is one of the most prominently used technologies within all organisations.
Doctor of Philosophy - Engineering |
Graduate Diploma in Biostatistics
Master of Biostatistics
Master of Information Systems
Master of Philosophy - Engineering
Master of Science (Information Systems)
MIS Professional Specialisation |
MIT Computing Specialisation
MIT Distributed Computing Specialisation
MIT Health Specialisation
MIT Spatial Specialisation
Download PDF version.