Database Analysis and Design

INF10002 12.5 Credit Points Hawthorn, Sarawak Available to incoming Study Abroad and Exchange students

Duration

  • One Semester or equivalent

Contact hours

  • 48 hours

2021 teaching periods

Hawthorn

Higher Ed. Semester 1 Higher Ed. Semester 2

Dates:
1 Mar 21 - 30 May 21

Results:
6 Jul 21

Last self enrolment:
14 Mar 21

Census:
31 Mar 21

Last withdraw without fail:
16 Apr 21

Dates:
2 Aug 21 - 31 Oct 21

Results:
7 Dec 21

Last self enrolment:
15 Aug 21

Census:
31 Aug 21

Last withdraw without fail:
17 Sep 21
More teaching periods
HOL Study Period 1

Dates:
1 Mar 21 - 30 May 21

Results:
29 Jun 21

Last self enrolment:
14 Mar 21

Census:
22 Mar 21

Last withdraw without fail:
16 Apr 21

Swinburne Online

Teaching Period 2

Dates:
5 Jul 21 - 3 Oct 21

Results:
26 Oct 21

Last self enrolment:
18 Jul 21

Census:
30 Jul 21

Last withdraw without fail:
20 Aug 21

Prerequisites

Nil

Corequisites

Nil
 
Alternative Tertiary Entry Program: Students who have passed INF00001 are exempted from taking this unit and must select another unit in its place with advice from a Course Advice Specialist. 

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.