Data and Information Systems

Unit Outline (Higher Education)

   
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Effective Term: 2025/05
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: No
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:
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.Select an appropriate data management or information systems solution for defined scenarios.
Application of knowledge and skills:
A1.Implement a solution related to management of data and information systems.
Unit Content:

Topics may include:
1. Di?erent 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:
Federation University recognises that students require key transferable employability skills to prepare them for their future workplace and society. FEDTASKS (Transferable Attributes Skills and Knowledge) provide a targeted focus on five key transferable Attributes, Skills, and Knowledge that are be embedded within curriculum, developed gradually towards successful measures and interlinked with cross-discipline and Co-operative Learning opportunities. One or more FEDTASK, transferable Attributes, Skills or Knowledge must be evident in the specified learning outcomes and assessment for each FedUni Unit, and all must be directly assessed in each Course.

FED TASK and descriptorDevelopment and acquisition of FEDTASKS in the Unit
Learning outcomes
(KSA)
Assessment task
(AT#)
FEDTASK 1
Interpersonal

Students will demonstrate the ability to effectively communicate, inter-act and work with others both individually and in groups. Students will be required to display skills in-person and/or online in:

•   Using effective verbal and non-verbal communication

•   Listening for meaning and influencing via active listening

•   Showing empathy for others

•   Negotiating and demonstrating conflict resolution skills

•   Working respectfully in cross-cultural and diverse teams.

Not applicableNot applicable
FEDTASK 2
Leadership

Students will demonstrate the ability to apply professional skills and behaviours in leading others. Students will be required to display skills in:

•   Creating a collegial environment

•   Showing self -awareness and the ability to self-reflect

•   Inspiring and convincing others

•   Making informed decisions

•   Displaying initiative

Not applicableNot applicable
FEDTASK 3
Critical Thinking and Creativity

Students will demonstrate an ability to work in complexity and ambiguity using the imagination to create new ideas. Students will be required to display skills in:

•   Reflecting critically

•   Evaluating ideas, concepts and information

•   Considering alternative perspectives to refine ideas

•   Challenging conventional thinking to clarify concepts

•   Forming creative solutions in problem solving.

Not applicableNot applicable
FEDTASK 4
Digital Literacy

Students will demonstrate the ability to work fluently across a range of tools, platforms and applications to achieve a range of tasks. Students will be required to display skills in:

•   Finding, evaluating, managing, curating, organising and sharing digital information

•   Collating, managing, accessing and using digital data securely

•   Receiving and responding to messages in a range of digital media

•   Contributing actively to digital teams and working groups

•   Participating in and benefiting from digital learning opportunities.

K1,K2,S1,A1AT1
FEDTASK 5
Sustainable and Ethical Mindset

Students will demonstrate the ability to consider and assess the consequences and impact of ideas and actions in enacting ethical and sustainable decisions. Students will be required to display skills in:

•   Making informed judgments that consider the impact of devising solutions in global economic environmental and societal contexts

•   Committing to social responsibility as a professional and a citizen

•   Evaluating ethical, socially responsible and/or sustainable challenges and generating and articulating responses

•   Embracing lifelong, life-wide and life-deep learning to be open to diverse others

•   Implementing required actions to foster sustainability in their professional and personal life.

Not applicableNot applicable
 Learning Outcomes AssessedAssessment TasksAssessment TypeWeighting
1.K1Students 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
1.Australian Computer Society - Core Body of Knowledge: 2023 accreditation
AttributeAssessedLevel
Core ICT Knowledge
Information & Data Science and Engineering
Nature of data, information and knowledge, meta-data, abstraction and representational quality YesIntroductory
Data modelling and semantics, relational data engineering processes YesIntroductory
Database Management Systems and SQL, non-relational systems (blockchain, NoSQL, files) YesIntroductory
Data Science and Engineering, data analytics, mining and visualisation, big data YesIntroductory
Application Systems
Types of application: organisational operations (transaction processing, executive information systems), simulation and decision support, information management (digital document (text, video, sound, image) creation, storage, communication and information retrieval), knowledge management, digital platforms and markets YesIntroductory
Professionalism as it applied in ICT
The Professional ICT Practitioner
Continuing professional development, career upskilling, networking YesIntroductory
2.Skills Framework for the Information Age (SFIA): Version 8
AttributeAssessedLevel
Development and implementation
Data and analytics
DTAN Data modelling and design (Levels 2 - 5)

Developing models and diagrams to represent and communicate data requirements and data assets.

Yes2
DBDS Database design (Levels 3 - 5)

Specifying, designing and maintaining mechanisms for storing and accessing data.

Yes1
DATS Data science (Levels 2 - 7)

Applying mathematics, statistics, data mining and predictive modelling techniques to gain insights, predict behaviours and generate value from data.

Yes2