Data and Information Systems

Unit Outline (Higher Education)

   
?   Display Outline Guidelines      


Effective Term: 2027/05
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:
Level of Unit in CourseAQF Level(s) of Course
5678910
Introductory                                                
Intermediate                                                
Advanced                                                
Learning Outcomes:
Knowledge:
Skills:
Application of knowledge and skills:
Other outcomes:
O1.

Analyse and classify different types of data and data sources according to organisational information requirements.

O2.

Compare and apply appropriate data management methods to support the effective storage, processing, and utilisation of organisational data.

O3.

Examine and analyse the components of information systems and their roles in supporting business operations and decision-making.

O4.

Evaluate and justify contemporary IT industry practices, standards, and technologies used in data and information systems management.

O5.

Design and implement a data and information management solution that addresses specified organisational requirements.

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. Definition, scope and components of Information Systems (e.g., hardware, software, data, procedures, and people)

 4. Types of Information Systems: transaction processing systems, management information systems, decision support systems, executive support systems, etc.

 5. Representation and use of data in Information System

 6. Database life cycle (e.g., requirements analysis, design, implementation, maintenance)

 7. Database design principles: normalisation, entity-relationship modelling.

 8. Relational database concepts: tables, rows, columns, keys, relationships.

 9. SQL (Structured Query Language): basic queries, data manipulation, data definition, joins.

Graduate Attributes:
 Learning Outcomes AssessedAssessment TasksAssessment TypeWeightingProfessional Standards
1. 1, 2, 3, 4

Students complete a series of practical laboratory activities throughout the semester and compile a portfolio of selected artefacts, outputs, and short professional explanations. Students then participate in an individual live demonstration where they explain concepts, perform practical tasks, and justify decisions related to data, information systems, and data management activities completed during the laboratories.

Laboratory Portfolio and Demonstration

10-30%

1.3, 1.5
2. 1, 2, 3, 4

Working in teams, students analyse a real-world organisational problem and design an information system solution that addresses business and information requirements. The project includes analysis of data sources, system components, information flows, technology selection, and data management strategies.

Organisational Information System Design Project

30-40%

1.3, 1.5
3. 1, 2, 4, 5

Students individually design and implement a data management solution for a given organisational scenario. The project includes requirements analysis, database design, relational schema development, SQL implementation, and data quality considerations. Students complete a validation exercise where they explain their design decisions and demonstrate the functionality of their solution.

Data Management Solution Project

30-40%

1.3, 1.5
Adopted Reference Style:
APA  ()

Professional Standards / Competencies:
 Standard / Competency