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

On-campus unit delivery combines face-to-face and digital learning.

2022 teaching periods

Hawthorn

Higher Ed. Semester 1 Higher Ed. Semester 2

Dates:
28 Feb 22 - 29 May 22

Results:
5 Jul 22

Last self enrolment:
13 Mar 22

Census:
31 Mar 22

Last withdraw without fail:
15 Apr 22

Dates:
1 Aug 22 - 30 Oct 22

Results:
6 Dec 22

Last self enrolment:
14 Aug 22

Census:
31 Aug 22

Last withdraw without fail:
16 Sep 22

More teaching periods

Swinburne Online

Teaching Period 1 Teaching Period 3

Dates:
14 Mar 22 - 12 Jun 22

Results:
5 Jul 22

Last self enrolment:
27 Mar 22

Census:
8 Apr 22

Last withdraw without fail:
29 Apr 22

Dates:
7 Nov 22 - 5 Feb 23

Results:
28 Feb 23

Last self enrolment:
20 Nov 22

Census:
2 Dec 22

Last withdraw without fail:
23 Dec 22


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.