11–12Enterprise Computing 11–12 Syllabus (2022)
Content
Year 12
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 Loading used in an Loading
Including:- biometrics
- haptics
- touch and gesture
- virtual and augmented reality (VR/AR)
- voice and sound
- microcontrollers
- sensors, actuators and motors
Explore how Loading 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, Loading 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 Loading
Explain how intelligent systems combine innovative techniques and technologies to meet the needs of enterprise
Investigate the infrastructure requirements for an intelligent network in an Loading with devices linked through an Loading
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
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 Loading smart system using a range of inputs and outputs
Implement automated processing using software
Assess the output Loading 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