Original source · Published 2022 · Updated 2022

Enterprise Computing 11–12 (2022)

Overview

Syllabus overview

The Enterprise Computing 11–12 Syllabus aligns with the Computing Technology Life Skills 11–12 Syllabus to provide opportunities for integrated delivery.

Through collaborative curriculum planning, it may be decided that Life Skills outcomes and content are the most appropriate option for some students with intellectual disability.

Organisation of Enterprise Computing 11–12

The Year 11 course provides students with the opportunity to develop and apply an understanding of enterprise computing systems in the safe and secure usage and storage of data. This is done by manipulating tools and resources while being aware of their social, ethical and legal implications.

The Year 12 course provides students with the opportunity to extend their knowledge and understanding of enterprise computing systems. This will then be applied to the development of a major enterprise project using project management skills.

Figure 1 shows the organisation of Enterprise Computing 11–12.

[FIGURE]

Figure 1: The organisation of content for Enterprise Computing 11–12 Syllabus

Image long description: This is a diagram outlining the organisation of content for the Enterprise Computing 11–12 Syllabus. Content is listed in boxes. Interactive media and the user experience, Networking systems and social computing, and Principles of cybersecurity fall under Year 11 on the left. Data science, Data visualisation, Intelligent systems and Enterprise project fall under Year 12 on the right. In the middle is Learning through project work, with lines coming from this box and encircling the content. Surrounding all content of the diagram is a line which is joined at the bottom by a box labelled, Skills. This demonstrates that Skills is being both developed and used in all focus areas.

Protocols for collaborating with Aboriginal and Torres Strait Islander Communities

NESA is committed to working in partnership with Aboriginal Communities and supporting teachers, schools and schooling sectors to improve educational outcomes for young people.

It is important to respect appropriate ways of interacting with Aboriginal Communities and Cultural material when teachers plan, program and implement learning experiences that focus on Aboriginal and Torres Strait Islander Priorities.

Indigenous Cultural and Intellectual Property (ICIP) protocols need to be followed. Aboriginal and Torres Strait Islander Peoples’ ICIP protocols include Cultural Knowledges, Cultural Expression and Cultural Property and documentation of Aboriginal and Torres Strait Islander Peoples’ identities and lived experiences. It is important to recognise the diversity and complexity of different Cultural groups in NSW, as protocols may differ between local Aboriginal Communities.

Teachers should work in partnership with Elders, parents, Community members, Cultural Knowledge Holders, or a local, regional or state Aboriginal Education Consultative Group. It is important to respect Elders and the roles of men and women. Local Aboriginal Peoples should be invited to share their Cultural Knowledges with students and staff when engaging with Aboriginal histories and Cultural Practices.

Course description

Enterprise Computing 11–12 provides students the opportunity to develop an understanding of the function and purpose of digital tools and processes, and the importance of data in enterprise information systems. Students develop an understanding of how computing technologies can be harnessed to provide effective user interaction and efficient access to information that supports commercial, industrial, social and environmental initiatives.

What students learn

Through the study of Enterprise Computing 11–12, students learn to:

evaluate how data is safely and securely collected, stored, manipulated and used when developing enterprise computing systems
explain the social, ethical and legal implications of the application of enterprise computing systems on the individual, society and the environment
apply tools and resources to design, develop and evaluate enterprise computing systems.

Course structure and requirements

Year 11 course structure and requirements

Year 11 course (120 hours)

Year 11 focus areas	Indicative hours
Interactive Media and the User Experience	40
Networking Systems and Social Computing	40
Principles of Cybersecurity	40

Year 12 course structure and requirements

Year 12 course (120 hours)

Year 12 focus areas	Indicative hours
Data Science	30
Data Visualisation	30
Intelligent Systems	30
Enterprise Project	30

Safety and risk management

Schools are required to ensure they follow safety and risk management in delivering the Enterprise Computing 11–12 Syllabus.

Enterprise Computing course specifications

Enterprise Computing Course Specifications are an integral part of the course content for Year 11 and Year 12 and indicate the depth of study required for some concepts in the Enterprise Computing 11–12 Syllabus. The Enterprise Computing 11–12 Syllabus must be applied in conjunction with the Enterprise Computing Course Specifications.

Course enrolment details

Enterprise Computing Year 11

Course number: 11175
Course hours: 120
Course units: 2
Enrolment type: Elective
Endorsement type: Board developed

Exclusions

Computing Technology Life Skills (Year 11, 2 units): 16623
Technology Life Skills (Year 11, 2 units): 16686*

*Where Computing Technology is undertaken within the course.

Prerequisites

Corequisites

Enterprise Computing Year 12

Course number: 15175
Course hours: 120
Course units: 2
Enrolment type: Elective
Endorsement type: Board developed

Exclusions

Computing Technology Life Skills (Year 12, 2 units): 16623
Technology Life Skills (Year 12, 2 units): 16686*

*Where Computing Technology is undertaken within the course.

Prerequisites

Enterprise Computing (Year 11, 2 units): 11175

Corequisites

HSC information

Information about curriculum requirements for the HSC are available on Assessment Certification Examination (ACE).

Rationale

The study of Enterprise Computing 11–12 enables students to develop an understanding of the function and purpose of digital tools and processes, and the importance of data in enterprise information systems. This allows students to effectively use and manage digital tools and technologies in commercial and other settings.

Students are encouraged to develop an entrepreneurial mindset by working collaboratively, growing specialised communication skills, and applying system, design and computational thinking skills. The knowledge and skills developed in this course ensure students can contribute to a world increasingly reliant on the manipulation and use of digital systems.

Students develop an understanding of how computing technologies can be harnessed to provide effective user interaction and efficient access to information that supports commercial, industrial, social and environmental initiatives. Students perform project work and apply their knowledge and skills in: interactive media and the user experience, networking systems and social connections, principles of cybersecurity, data science, data visualisations, and intelligent systems. Students use their acquired knowledge and skills to develop an enterprise project. Project work encourages students to collaborate on problems and develop team and communication skills that are highly valued in the industry.

Enterprise Computing encourages the understanding of the implications of responsible and ethical application of digital systems, and the application of appropriate standards in the development of solutions. Students learn about the technologies that support enterprise-based information systems. As they develop digital solutions, students investigate social and safety issues relating to cyber safety, cybersecurity and digital footprints. They engage with technologies that improve access to, and participation in, computing technologies across a range of enterprises.

Aim

The aim of Enterprise Computing is to develop each student’s capacity to:

think creatively, devise solutions and communicate information to a range of audiences using a variety of computing resources
apply computing technologies and systems thinking to data analysis
solve (or improve) enterprise challenges, such as those relating to social, commercial or industrial issues.

Table of outcomes

Year 11	Year 12
EC-11-01 describes how systems are used in a range of enterprises	EC-12-01 explains how systems meet the needs of a range of enterprises
EC-11-02 describes the function of data and information within enterprise computing systems	EC-12-02 explains the function of data and information within enterprise computing systems
EC-11-03 describes how data is safely and securely collected, stored and manipulated when developing enterprise computing systems	EC-12-03 explains and evaluates how data is safely and securely collected, stored and manipulated when developing enterprise computing systems
EC-11-04 describes how data is used in enterprise computing systems	EC-12-04 explains how data is used in enterprise computing systems
EC-11-05 applies tools and resources to analyse datasets	EC-12-05 applies tools and resources to analyse complex datasets
EC-11-06 explains how innovative technologies have influenced enterprise computing systems	EC-12-06 analyses how innovative technologies have influenced enterprise computing systems
EC-11-07 explores the social, ethical and legal implications of the application of enterprise computing systems on the individual, society and the environment	EC-12-07 explains the social, ethical and legal implications of the application of enterprise computing systems on the individual, society and the environment
EC-11-08 selects and uses tools and resources to design and develop an enterprise computing system	EC-12-08 justifies the selection and use of tools and resources to design and develop an enterprise computing system
EC-11-09 documents the management and evaluates the development of an enterprise solution	EC-12-09 selects and applies methods to record the management and evaluate the development of an enterprise computing system
EC-11-10 investigates the effectiveness of an enterprise computing system	EC-12-10 evaluates the effectiveness of an enterprise computing system
EC-11-11 communicates an enterprise computing solution to an intended audience	EC-12-11 communicates an enterprise computing solution to a specific audience

Outcomes and content for Year 11

Interactive media and the user experience

Outcomes

A student:

describes how systems are used in a range of enterprises EC-11-01
describes the function of data and information within enterprise computing systems EC-11-02
describes how data is safely and securely collected, stored and manipulated when developing enterprise computing systems EC-11-03
describes how data is used in enterprise computing systems EC-11-04
applies tools and resources to analyse datasets EC-11-05
explains how innovative technologies have influenced enterprise computing systems EC-11-06
explores the social, ethical and legal implications of the application of enterprise computing systems on the individual, society and the environment EC-11-07
selects and uses tools and resources to design and develop an enterprise computing system EC-11-08
documents the management and evaluates the development of an enterprise solution EC-11-09
investigates the effectiveness of an enterprise computing system EC-11-10
communicates an enterprise computing solution to an intended audience EC-11-11

Related Life Skills outcomes: CT-LS-01, CT-LS-02, CT-LS-03, CT-LS-04, CT-LS-05, CT-LS-06, CT-LS-07, CT-LS-08, CT-LS-09, CT-LS-10, CT-LS-11, CT-LS-12, CT-LS-13

Content

Ubiquity of interactive media

Investigate how interactive media and the user experience (UX) is used to communicate information to an audience
Investigate social, ethical and legal issues when developing and implementing interactive media systems
Research the evolution of interactive media

Including:

prevalence of blogs, online video and digital radio

privacy issues and the use of intellectual property, including Indigenous Cultural and Intellectual Property (ICIP)

Describe the contribution of interactive media systems to a range of enterprises

Including:

how simulation, gamification and augmented reality (AR) support online training and learning

how streaming services, gaming and virtual reality (VR) improve access to entertainment

how specialist apps support delivery tracking, advertising and communication

Evaluate the performance requirements of hardware for specific interactive media projects
Explain how interactive media systems can support creative processes

Including:

sandbox gaming

social media

digital creative commons

Examine how human behaviour may be influenced by interactive media, including opportunities for people with disability to explore and participate in their environment
Investigate how digital marketing techniques influence consumer behaviour

Including:

guided choice (nudging)

default settings, including cookies

autofill

pop-ups promoting online shopping

Evaluate social media applications that encourage human connections

Including:

crowdsourcing through a social media app

learning via massive online open courses (MOOCs)

gaming platforms that encourage massive multiplayer online games (MMOGs)

Explore how interactive media platforms support the creation of digital identities

Including:

personal e-profiles

identifier versus identity

profiling and auto-profiling

privacy settings

Capture, store and integrate data

Select and use appropriate file formats for a defined purpose
Use software to develop elements of interactive media in a project
Use hardware and software to digitise assets for use in interactive media systems, including lossy and lossless data compression
Explain how the user interface (UI) impacts on the user experience (UX)
Apply design tools and techniques to develop an engaging UI

Create interactive media systems

Apply design thinking to develop a front-end, web-based interactive media system incorporating UX and UI principles
Develop and publish an interactive work of data journalism
Select an appropriate project management approach to develop an interactive media-based solution
Apply features of user interaction and UX within web-based systems

Including:

communication processes via social media

search, sort and selection processes via online retail services

online gaming platforms

Outcomes

A student:

describes how systems are used in a range of enterprises EC-11-01
describes the function of data and information within enterprise computing systems EC-11-02
describes how data is safely and securely collected, stored and manipulated when developing enterprise computing systems EC-11-03
describes how data is used in enterprise computing systems EC-11-04
applies tools and resources to analyse datasets EC-11-05
explains how innovative technologies have influenced enterprise computing systems EC-11-06
explores the social, ethical and legal implications of the application of enterprise computing systems on the individual, society and the environment EC-11-07
selects and uses tools and resources to design and develop an enterprise computing system EC-11-08
documents the management and evaluates the development of an enterprise solution EC-11-09
investigates the effectiveness of an enterprise computing system EC-11-10
communicates an enterprise computing solution to an intended audience EC-11-11

Related Life Skills outcomes: CT-LS-01, CT-LS-02, CT-LS-03, CT-LS-04, CT-LS-05, CT-LS-06, CT-LS-07, CT-LS-08, CT-LS-09, CT-LS-10, CT-LS-11, CT-LS-12, CT-LS-13

Content

Introduction to human-centric computing

Investigate the effects of disruptive technology on everyday computing

Including:

effects on the individual

innovations in infrastructure, hardware and software

trends and technology buzzwords

Investigate the application of graph and network theory in the design of social networks
Describe how web applications and dedicated apps for mobile devices influence the success of social networking
Investigate how the development of hardware and software has influenced the adoption of the Internet of Things (IoT) and the Internet of Me (IoMe)

Including:

impact on the individual

impact on enterprise, including edge computing

hardware infrastructure

software protocols

data backup

regulation, compliance and cybersecurity

Outline the business and individual cultural characteristics that contribute to the success of start-ups

Storage and workflow in enterprise networks

Investigate how the developments in network connectivity and speed have influenced work practices within an enterprise

Including:

remote working opportunities

file sharing

task delegation and monitoring

Examine the benefits and limitations of digital workflows operating in an enterprise
Investigate data storage requirements for an enterprise

Including:

capacity

accessibility

location

security

Explore cloud computing services

Including:

Infrastructure as a Service (IaaS)

Software as a Service (SaaS)

Platform as a Service (PaaS)

Compare different types of cloud-based data storage in terms of access and services

Including:

public cloud

private cloud

hybrid cloud

non-cloud on premises

Network architecture and infrastructure

Describe key components of an organisation’s information technology infrastructure

Including:

networking, including servers, storage and end-point devices

on-premises computing

cloud computing

Describe how transmission media is used in networks
Explain factors that interfere with the transmission of data across a computer and social network

Including:

distance

topography

physical barriers

environmental barriers

Investigate ways to improve data flow within a system, considering proximity and modes of connectivity

Including:

size, location and power of antennae when using satellite and microwave

traffic filtering

flow scheduling and traffic monitoring on telecommunications, including wireless broadband for mobile devices (3G→), Bluetooth and wi-fi

Investigate the application of graph theory and network theory in the design of optimised computer networks

Including:

adjacency

centrality

connectedness

weighted graphs

Explore device interoperability within an Internet of Things (IoT) based enterprise network, including supervisory control and data acquisition (SCADA)
Investigate communication protocols between devices in an Internet of Things (IoT) network
Explore the benefits of interfacing machine learning (ML) with IoT

Including:

data-driven optimisation to enable predictive maintenance and logistics in manufacturing

data acquired from medical imaging to improve accuracy of diagnosis

improving traffic control through ML and sensors

automating soil moisture data collection to manage farm irrigation

Investigate security measures used to control access to networks

Including:

password systems

biometric measures

CAPTCHA

trusted Platform Module (TPM)

automatic software updates

Examine data security for an intelligent home network

Including:

access levels, including universal plug and play (UPnP)

passwords and firewalls

port management on routers and switches

wi-fi device positioning

virtual private networks (VPNs) and hidden networks

backup and disaster recovery

Creating a network

Design and model a network of interconnected devices for a specific purpose
Apply appropriate project management tools to develop a project
Configure devices within a network

Including:

naming the device

updating the device

configuring security protocols

connecting to the internet

Implement procedures and security protocols considering cybersecurity
Explore opportunities for optimising network performance

Including:

improving bandwidth

updating drivers and firmware

Evaluate the role of hardware and software related to the transmission of data

Including:

unsecured data

encrypted data

infrastructure

Principles of cybersecurity

Outcomes

A student:

describes how systems are used in a range of enterprises EC-11-01
describes how data is safely and securely collected, stored and manipulated when developing enterprise computing systems EC-11-03
describes how data is used in enterprise computing systems EC-11-04
explains how innovative technologies have influenced enterprise computing systems EC-11-06
explores the social, ethical and legal implications of the application of enterprise computing systems on the individual, society and the environment EC-11-07
documents the management and evaluates the development of an enterprise solution EC-11-09

Related Life Skills outcomes: CT-LS-01, CT-LS-02, CT-LS-03, CT-LS-04, CT-LS-05, CT-LS-07, CT-LS-08, CT-LS-09, CT-LS-10, CT-LS-11

Content

Understanding privacy and security

Explain privacy, trust and freedom of information with respect to people, systems and data
Describe privacy and security principles associated with access, storage and permissions used by enterprises to collect and interpret data
Investigate how an individual can contribute to maintaining the privacy of their own data
Explore security vulnerabilities of social networking to both an individual and an enterprise

Including:

account access

account behaviour

hosting platform security

identity theft

phishing

evil twins

Describe the attributes of a cybersecurity breach

Including:

confidentiality of information

integrity of information

availability of information

privacy implications

Investigate vulnerabilities exploited by the threat actor involved in a breach, such as the impact on various elements

Including:

data

people

processes

technology

Security awareness

Investigate cybercrime threats to an enterprise

Including:

hacking

phishing, including smishing

scamming

bots and botnets

employee action causing a vulnerability

Research hardware and software strategies used to protect data

Including:

isolation

physical security

biometrics

password protection, encryption and permissions

multi-factor authentication

back up and disaster recovery

firewalls

antivirus and anti-malware

Investigate cyber risk management

Including:

implementing a cybersecurity strategy with ongoing training

identifying and managing vulnerabilities

assessing the impact of a breach

controlling damage and loss

Assess cyber risk by implementing risk-management strategies using a risk matrix

Including:

internal and external vulnerabilities

threat landscape

impact of exposure

likelihood of exploitation

Cyber law and ethics

Explain impacts of cybersecurity breaches on the individual, organisation and society

Including:

financial loss

reputational damage

operational disruptions

legal and regulatory ramifications

Identify laws and legislation associated with cybersecurity
Explore current and emerging cybercrime threats to an enterprise

Outcomes and content for Year 12

Data science

Outcomes

A student:

explains how systems meet the needs of a range of enterprises EC-12-01
explains the function of data and information within enterprise computing systems EC-12-02
explains and evaluates how data is safely and securely collected, stored and manipulated when developing enterprise computing systems EC-12-03
explains how data is used in enterprise computing systems EC-12-04
applies tools and resources to analyse complex datasets EC-12-05
analyses how innovative technologies have influenced enterprise computing systems EC-12-06
explains the social, ethical and legal implications of the application of enterprise computing systems on the individual, society and the environment EC-12-07
justifies the selection and use of tools and resources to design and develop an enterprise computing system EC-12-08
evaluates the effectiveness of an enterprise computing system EC-12-10
communicates an enterprise computing solution to a specific audience EC-12-11

Related Life Skills outcomes: CT-LS-01, CT-LS-02, CT-LS-03, CT-LS-04, CT-LS-05, CT-LS-06, CT-LS-07, CT-LS-08, CT-LS-09, CT-LS-10, CT-LS-11, CT-LS-12, CT-LS-13

Content

Collecting, storing and analysing data

Explore the difference between quantitative and qualitative data
Determine which data types are used to represent quantitative and qualitative data
Explore nominal, ordinal, interval and ratio levels of measurement applied to data
Investigate data sampling, including manual and computerised methods of active and passive data collection
Assess the relevance, accuracy, validity and reliability of primary and secondary data
Investigate how informatics supports the development of a deeper understanding of data
Interpret and present data using graphs, infographics, dashboards, reports, network diagrams and maps
Investigate structured and unstructured datasets
Explore the use of likes, emoticons and memes as forms of alternative data as sources of feedback
Examine the impact of errors, uncertainty and limitations in data

Including:

data sources

raw data versus processed data

data bias

Explain how blockchain technology is used to manage and verify data

Including:

online voting

online identities

tracking items of value

recordkeeping

Examine software features that affect the privacy and security of data

Including:

autofill

public or private connections

checkbox

terms of agreement

Explore the use of big data and data warehousing, considering volume, variety and velocity
Explore the risks and benefits of data mining
Analyse the impact of data scale

Including:

volume of raw data

storage

real-time and continuous streaming

opportunities for machine learning (ML)

changes in human behaviour

ethical implications, including digital footprints

Evaluate the effectiveness of different methods for data storage

Including:

local storage

cloud storage

portable storage media

data warehouses

Data quality

Investigate the ethical use of data for social or enterprise research purposes
Explore social, ethical and legal issues associated with using data

Including:

bias

accuracy of the collected data

metadata

copyright and acknowledgement of source data

intellectual property and respect for ownership, including Indigenous Cultural and Intellectual Property (ICIP)

permissions, rights and privacy of individuals, including cultural responsibility

security

Investigate the legal issues surrounding data collection and handling

Including:

legislation

authorities responsible for data protection

data sovereignty of Aboriginal and Torres Strait Islander Peoples

Investigate the influence of curated and communicated data on social behaviour

Including:

data literacy

timeframes

signals impacting on behaviour

data swamps

educating users

Processing and presenting data

Summarise data using a spreadsheet
Collate information using spreadsheet analysis features, including charts, statistical analysis and what-if modelling
Filter, group and sort data in a spreadsheet to process and display information

Including:

linking multiple sheets to extract data and create summaries

applying conditional formatting

making data comparisons

designing forms and reports

Apply spreadsheet analysis features to develop a data dashboard

Including:

graphs

pivot tables and slicers

Develop a flat-file database
Apply computational thinking to design a relational database with appropriate user views

Including:

develop a data dictionary

linking tables via key fields

sort and search data, including using structured query language (SQL)

using forms and reports

Explore how machine learning and statistical modelling are used in data analytics to analyse big data, and as a prediction tool

Data visualisation

Outcomes

A student:

explains how systems meet the needs of a range of enterprises EC-12-01
explains the function of data and information within enterprise computing systems EC-12-02
explains and evaluates how data is safely and securely collected, stored and manipulated when developing enterprise computing systems EC-12-03
explains how data is used in enterprise computing systems EC-12-04
applies tools and resources to analyse complex datasets EC-12-05
analyses how innovative technologies have influenced enterprise computing systems EC-12-06
explains the social, ethical and legal implications of the application of enterprise computing systems on the individual, society and the environment EC-12-07
justifies the selection and use of tools and resources to design and develop an enterprise computing system EC-12-08
evaluates the effectiveness of an enterprise computing system EC-12-10
communicates an enterprise computing solution to a specific audience EC-12-11

Related Life Skills outcomes: CT-LS-01, CT-LS-02, CT-LS-03, CT-LS-04, CT-LS-05, CT-LS-06, CT-LS-07, CT-LS-08, CT-LS-09, CT-LS-10, CT-LS-11, CT-LS-12, CT-LS-13

Content

Using data to tell a story

Explain the purposes of data visualisation

Including:

simplifying understanding

telling a story

highlighting significant results

Describe how features of software contribute to a better understanding of datasets through data visualisation, including spreadsheets, creative design applications and combining applications to track trends and forecast
Identify patterns in data by interpreting and comparing datasets for an enterprise, social or ethical issue to highlight trends and for predictive data analytics
Investigate the impact of the evolution of hardware and software on the field of data analytics

Including:

processing power

storage/memory

communication media

Describe online analytical processing (OLAP)
Assess data integrity in the development of a data visualisation

Including:

ownership

source

validation

risk

Explain the impact of enterprise data warehousing on data visualisation

Including:

analysis and use of historical data trends and patterns

correlation with current data

data refinement/optimisation

Explain how big data affects the design and development of data visualisation

Including:

scope of visible information

types and depth of insight provided by the data

Evaluate bias in data collection, storage and analysis when developing visualisations

Including:

accuracy

audience

data source

unconscious bias

Interpreting data visualisations

Evaluate the effectiveness of software tools used to develop data visualisations

Including:

spreadsheets used to develop dashboards

presentation software used to present data analysis

business analytics services, including ‘as a service’ products

custom software solutions

Interrogate data from a data visualisation

Including:

interpreting what you see

aggregation

filtering

the effect of outliers

reasoning

Designing for user experience

Use graphic design tools to assist in the graphic development of a data visualisation
Explain how user experience (UX) influences the development of effective data visualisations

Including:

relevance to the audience

audience interpretation

customisation

live analysis

Develop and implement criteria for evaluating the effectiveness of user experiences
Investigate the impact of emerging hardware and software technologies on user interface (UI) and UX design and development

Creating data visualisations

Research, source, organise and store data appropriate for a data visualisation
Design and develop a data visualisation for a specific scenario to represent trends, patterns and relationships, and illustrate predictive analysis incorporating big data
Investigate and implement methods to maintain data security

Including:

cybersecurity

data backup

Intelligent systems

Outcomes

A student:

explains how systems meet the needs of a range of enterprises EC-12-01
explains the function of data and information within enterprise computing systems EC-12-02
explains and evaluates how data is safely and securely collected, stored and manipulated when developing enterprise computing systems EC-12-03
explains how data is used in enterprise computing systems EC-12-04
applies tools and resources to analyse complex datasets EC-12-05
analyses how innovative technologies have influenced enterprise computing systems EC-12-06
explains the social, ethical and legal implications of the application of enterprise computing systems on the individual, society and the environment EC-12-07
justifies the selection and use of tools and resources to design and develop an enterprise computing system EC-12-08
evaluates the effectiveness of an enterprise computing system EC-12-10
communicates an enterprise computing solution to a specific audience EC-12-11

Related Life Skills outcomes: CT-LS-01, CT-LS-02, CT-LS-03, CT-LS-04, CT-LS-05, CT-LS-06, CT-LS-07, CT-LS-08, CT-LS-09, CT-LS-10, CT-LS-11, CT-LS-12, CT-LS-13

Content

Systems and their applications

Investigate applications of decision support systems
Describe categories of decision-making within decision support systems

Including:

an infinite set of instructions where judgement may be required (unstructured)

use of a specified set of finite instructions (semi-structured)

automated decisions (structured)

Investigate common applications of expert systems

Including:

diagnosis

monitoring

process control

scheduling and planning

Describe key features of an expert system

Including:

knowledge base

inference engine, including forward chaining and backward chaining

user interface (UI)

Research factors that have allowed expert systems to advance from rule-based systems to integrate probability

Including:

processing power

data availability and access

hardware costs

neural networks

webometrics

Describe how people’s changing needs have shaped the proliferation of expert systems

Including:

the Internet of Things (IoT)

Internet of Me (IoMe)

Industry 4.0

Describe the operation of simplistic and complex intelligent agents used by search engines, including predictive search strings and the use of voice assistants to initiate interaction
Compare techniques used by different inference engines

Including:

truth maintenance

hypothetical reasoning

heuristic knowledge and fuzzy logic

ontology classification

Investigate the hardware used in an intelligent system

Including:

biometrics

haptics

touch and gesture

virtual and augmented reality (VR/AR)

voice and sound

microcontrollers

sensors, actuators and motors

Explore how computational thinking can be integrated into the design and development of an intelligent system

Including:

decomposition

pattern recognition

abstraction

algorithms

Communicate the logical processes performed by an intelligent system by using flowcharts, data flow diagrams and infographics
Investigate the disruptive effects of intelligent systems

Including:

multitasking versus digital distraction

working differently to complete the same task

automation of enterprise and manufacturing processes

impact of artificial intelligence (AI) on employment

Investigate social and ethical issues to be considered when developing, implementing and using intelligent systems
Investigate current and emerging technologies associated with intelligent systems, including AI
Explain how intelligent systems combine innovative techniques and technologies to meet the needs of enterprise

Data and intelligent systems

Investigate the infrastructure requirements for an intelligent network in an enterprise with devices linked through an Internet of Things (IoT)

Including:

networks with servers, local and cloud storage, and end-point devices

communication links that enable the efficient control and flow of data

Explore collection, type, storage, processing, application and transmission of relevant and surplus data in an intelligent IoT network
Investigate the application of simulation, data modelling and the automation of systems in a range of enterprises

Including:

education and training

business analytics

high-risk applications

Explain the role of intelligent systems in surveillance

Including:

closed circuit television (CCTV)

biometric scanning

customer loyalty schemes

fraud prevention

sniffing

trolling

Explain how AI supports efficiency in an IoT network

Creating intelligent systems

Develop a set of rules and facts that could be used within an expert system to draw conclusions
Apply certainty factors to construct a decision tree for a proposed expert system
Verify the sources of data used in a decision support system
Use a flowchart to develop a knowledge base of IF-THEN rules to be used by an expert system
Design and model an automated smart system using a range of inputs and outputs
Implement automated processing using software
Assess the output produced by a decision support system, including graphing to detail the success of decisions, and comparing the proposed versus the actual outputs
Explain how expert systems contribute to the efficiency of intelligent systems

Including:

supercomputers

digital assistants

autonomous vehicles

streaming services

Enterprise project

Outcomes

A student:

analyses how innovative technologies have influenced enterprise computing systems EC-12-06
explains the social, ethical and legal implications of the application of enterprise computing systems on the individual, society and the environment EC-12-07
justifies the selection and use of tools and resources to design and develop an enterprise computing system EC-12-08
selects and applies methods to record the management and evaluate the development of an enterprise computing system EC-12-09
evaluates the effectiveness of an enterprise computing system EC-12-10
communicates an enterprise computing solution to a specific audience EC-12-11

Related Life Skills outcomes: CT-LS-07, CT-LS-08, CT-LS-09, CT-LS-10, CT-LS-11, CT-LS-12, CT-LS-13

Content

Identifying and defining

Describe the tools and processes used to manage and document the development of an enterprise system

Including:

problem definition

time and resource management, including Gantt charts

an iterative approach

production process and technical skills

testing and evaluation

Explain the effect of the changing nature of enterprise on the development of projects

Including:

offshore development

working remotely

freelance work

enabling the growth of start-ups

Researching and planning

Investigate tools that support the design and development of an enterprise system

Including:

online collaboration

time/task action plans

process diary, including ongoing evaluation

budget

system flowcharts

data flow diagrams

decision trees

Describe how computational, design and systems thinking skills are used in the design and development of an enterprise system
Select key collaborating and managing criteria appropriate to the development of an enterprise project

Including:

designing for ease of operation and maintenance

clarifying each of the relevant informatics within the new system

outlining the role of the participants, data and components used in the system

negotiating user/client needs and wants

working collaboratively

Producing and implementing

Apply tools to inform the requirements and limitations of an enterprise system

Including:

interviews

surveys

analytical reports

prototypes

presentations of research results

Explore and apply the most suitable development approach to develop, modify and implement an enterprise system

Including:

waterfall (structured)

agile

prototyping

end-user

outsourcing

Develop an implementation plan and test its feasibility for an enterprise computing system

Including:

design thinking

thinking and design tools, including storyboards, Gantt chart, decision tree

risk analysis

hardware and software integration

training

preferred system implementation method

methodology for testing the system

Testing and evaluating

Verify and validate an enterprise computing system

Including:

evaluating test data

trialling the operation and maintenance documentation

reviewing the impact of system implementation within relevant environments

modifying designs to improve functionality

testing, evaluating and maintaining the developed enterprise computing system