Database Management 2

Description

Provides students with theoretical knowledge and practical skills in the use of databases and database management systems in information technology applications. The conceptual model, logical design, physical design and implementation of relational databases are covered. Contemporary issues and emerging technologies such as On-Line Analytical Processing (OLAP) and Data Warehouses are discussed.

Availability

Callaghan Campus

  • Trimester 2 - 2015

WebLearn GradSchool

  • Trimester 2 - 2015

Learning Outcomes

1. Understand and evaluate the role of database management systems in information technology applications within organisations;

2. Recognise and use various conceptual models, logical design methods and tools for developing databases;

3. Derive a physical design for a database from its logical design;

4. Implement a database solution to an information technology problem using a commercial RDBMS.

5. Program using the SQL data definition and SQL query languages.

6. Recognise the value of and understand the problems associated with the use of procedural language extensions to SQL.

7. Understand contemporary emerging technologies such as On-Line Analytical Processing (OLAP) and Data Warehouses.

Content

  1. The role of databases and database management systems.
  2. Database models.
  3. Conceptual modelling with EER
  4. Logical design of databases.
  5. Physical design of databases.
  6. SQL query language.
  7. Procedural language extensions to SQL.
  8. Contemporary issues and emerging technologies such as On-Line Analytical Processing (OLAP) and Data Warehouses.

Assumed Knowledge

INFO6001

Assessment Items

Written Assignment: Assignment 1 - Requirements Gathering & Conceptual Database Design

In Term Test: Class Test - SQL

Written Assignment: Assignment 2 - Database Implementation

Written Assignment: Assignment 3 - Data Warehouse, OLAP & Business Intelligence

Formal Examination: Final Examination

Contact Hours

Computer Lab

Face to Face On Campus 2 hour(s) per Week for Full Term

Computer Laboratory can incorporate a practical session or tutorial.

Lecture

Face to Face On Campus 2 hour(s) per Week for Full Term

Self-Directed Learning

Self-Directed 10 hour(s) per Week for Full Term

Self Directed Learning component is only applicable to Distance Learning students. The number of hours for week is a minimum recommendation and may vary with individual students's learning styles for on-line learning.