Data and Information Systems

Unit Outline (Higher Education)

Level of Unit in Course

AQF Level(s) of Course

Level of Unit in Course

Introductory

Intermediate

Effective Term:

2026/05

Institute / School :

Institute of Innovation, Science & Sustainability

Unit Title:

Data and Information Systems

Unit ID:

ITECH1503

Credit Points:

15.00

Prerequisite(s):

Nil

Co-requisite(s):

Nil

Exclusion(s):

(GPSIT1103 and ITECH1103 and ITECH5103)

ASCED:

020303

Other Change:

Brief description of the Unit

This unit provides fundamental concepts related to data and information systems. This unit will explore the theory and applications of data and information. Students will learn data in various formats, data and information processing platforms and tools to transform, visualise, model data and information, providing end users with timely knowledge to support decision making. The unit will explain the challenges organisations are facing with managing data and information.

Grade Scheme:

Graded (HD, D, C, P, MF, F, XF)

Work Experience Indicator:

No work experience

Placement Component:

Supplementary Assessment:Yes

Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment

Course Level:

Learning Outcomes:

Knowledge:

K1.	Describe diﬀerent types of data and their sources.

K2.	Discuss the different methods of management and uses of data.

K3.	Define the main components of an information system.

K4.	Explain contemporary IT industry practices related to management of data and information systems.

Skills:

S1.	Implement a solution related to management of data and information systems.

Application of knowledge and skills:

A1.	Implement a solution related to management of data and information systems.

Other outcomes:

Unit Content:

Topics may include:
1. Different types of data (e.g. structured, semi-structured, unstructured)
2. Sources of data (e.g. sensors, medical, business, social data)
3. Database life cycle (e.g., requirements analysis, design, implementation, maintenance)
4. Database design principles: normalization, entity-relationship modelling.
5. Relational database concepts: tables, rows, columns, keys, relationships.
6. SQL (Structured Query Language): basic queries, data manipulation, data definition, joins.
7. Definition, scope and components of Information Systems.
8. Representation and use of data in Information System (Master Data, Transactional Data)
9. Components of an Information System (e.g., hardware, software, data, procedures, and people)
10. Types of Information Systems: transaction processing systems, management information systems, decision support systems, executive support systems, etc.

Graduate Attributes:

	Learning Outcomes Assessed	Assessment Tasks	Assessment Type	Weighting	Professional Standards
1.	K1	Students will describe diﬀerent types of data and their sources.	Lab work and/or Assignment(s)	10-15%
2.	K1, K2, S1, A1	Students will choose and/or implement an appropriate data management solution for a chosen specific problem and describe the components of the process. The assessment also includes theoretical questions to provide context and opportunities for reflection on the analytical tasks undertaken.	Lab work and/or Assignment(s)	30%-55%
3.	K3, K4, S1, A1	Students will select an appropriate information systems solution for a chosen specific problem and describe the components of the process. The assessment also includes theoretical questions to provide context and opportunities for reflection on the analytical tasks undertaken.	Lab work and/or Assignment(s)	30%-60%

Adopted Reference Style:

APA ()

Professional Standards / Competencies:

Standard / Competency