Swinburne > Subjects > INF10002 – Database Analysis and Design

INF10002 – Database Analysis and Design

INF10002     |       12.5 Credit Points       |       Location: Hanoi, Danang, Ho Chi Minh City

Duration                                             Contact hours

One Semester                                       48 hours

Prerequisites

Nil

Corequisites

Nil

Aims and Objectives

Digital data is central to the modern economy. Transactions, managerial decisions, and strategy development rely on data. Databases are the tool used to create, store, organise, and disseminate data. This unit delivers the fundamental principles needed to effectively design and use databases. It seeks to unpack the notion of data, and introduce contemporary tools and techniques for storing, retrieving, exploiting, and visualising data. Emphasis is given to understanding data modelling and design approaches, and the emerging opportunities afforded by big data, social media, data analytics, and unstructured data. Both commercial and open-source database management tools are focused upon.

Students who successfully complete this unit will be able to:
1. Define and explain fundamental data and database concepts including tables, relations, keys, queries, transactions, and structured, semi-structured, unstructured data
2. Create, store, retrieve, exploit, and visualise data using modern database tools, functions, and techniques
3. Understand and apply conventional data modelling techniques to solve practical database design problems
4. Explain the impact of big data and modern data analytics tools in the design, use, and management of database systems.

General Skills Outcome

• Problem solving skills
• Analysis skills
• Communication skills
• Ability to tackle unfamiliar problems, and
• Ability to work independently