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9 Content: Information Processes and Technology HSC Course

9.4 Option Strands

There are FOUR options and students must study TWO of these. The topics are:

  • Transaction Processing Systems
  • Decision Support Systems
  • Automated Manufacturing Systems
  • Multimedia Systems.

9.4.1 Option 1: Transaction Processing Systems

Information systems that collect, store, modify and retrieve records of transactions are transaction processing systems. A transaction is an event that generates or modifies data that is eventually stored in an information system. Transaction processing systems meet record keeping and event tracking needs. In addition, analysing data stored in transaction processing systems may meet the information needs of end user(s). This option focuses on the information process of storing/retrieving. Other information processes are important in transaction processing and these are also considered.

Outcomes

A student:

  • H1.1 applies and explains an understanding of the nature and function of information technologies to a specific practical situation
  • H1.2 explains and justifies the way in which information systems relate to information processes in a specific context
  • H2.1 analyses and describes a system in terms of the information processes involved
  • H2.2 develops and explains solutions for an identified need which address all of the information processes
  • H3.1 evaluates and discusses the effect of information systems on the individual, society and the environment
  • H3.2 demonstrates and explains ethical practice in the use of information systems, technologies and processes
  • H4.1 proposes and justifies ways in which information systems will meet emerging needs
  • H5.1 justifies the selection and use of appropriate resources and tools to effectively develop and manage projects
  • H5.2 assesses the ethical implications of selecting and using specific resources and tools, recommends and justifies the choices
  • H6.1 analyses situations, identifies needs, proposes and then develops solutions
  • H6.2 selects, justifies and applies methodical approaches to planning, designing or implementing solutions
  • H7.1 implements and explains effective management techniques
  • H7.2 uses methods to thoroughly document the development of individual and team projects.
Rounded Rectangular Callout: Additional outcomes relating to project work have been included in this topic to allow project work to be assessed as an integral part of this topic. Note: If teachers choose not to undertake a project as part of this topic then these outcomes would not be assessed here. These additional outcomes now appear in all HSC core topics and all HSC option topics.
Students learn about: Students learn to:

characteristics of transaction processing systems

  • a transaction – a series of events important to an organisation that involve a request, an acknowledgement, an action and an outcome
  • the components of a transaction processing system, including:
    • purpose
    • data
    • information technology
    • processes
    • participants
  • batch transaction processing – the collection and storage of data for processing at a scheduled time or when there is sufficient data
  • real time transaction processing – the immediate processing of data
  • the significance of data validation in transaction processing
  • the historical significance of transaction processing as the first type of information systems
Rounded Rectangular Callout: Terms and concepts in this section have been redefined to provide greater clarity and remove a number of ambiguities that existed in the original syllabus

 

 
  • recognise and describe a transaction
  • identify, describe and use a batch transaction processing system
  • distinguish between the storage of collected data and the storage of processed data in a batch system
  • identify, describe and use a real time transaction processing system
  • compare and contrast batch and real time transaction processing
  • analyse an existing transaction processing system to determine its strengths and weaknesses
  • design and implement procedures for validating entered data
  • assess the work routine of a clerk in a manual transaction system to determine its suitability for automation
  • identify participants, data/information and information technology for the given types of transaction processing systems
  • describe the relationships between participants, data/information and information technology for the given types of transaction processing systems

types of transaction processing systems

  • web-based
  • non web-based
  • on-line real time
  • batch
  • systems that appear real time, responding as the transactions occur, but where the actual updating is batch processed, such as credit card transactions
  • for a scenario diagrammatically represent transaction processing using data flow diagrams
  • distinguish between the different types of transaction processing systems
Rounded Rectangular Callout: The section in the original syllabus under the subheading ‘examples of transaction processing systems' has been replaced by a new section called ‘types of transaction processing systems'. Many of the original dot points have been deleted and some reworded.

 

storing and retrieving in transaction processing systems

  • storage of digital data in databases and files
  • retrieval of stored data to conduct further transaction processing such as printing invoices
  • systems to store paper records of transactions
  • data backup and recovery, including:
    • grandfather, father, son
    • off-site storage
    • secure on-site storage
    • full and partial backups
    • recovery testing
    • suitable media
    • specialised backup software
    • transaction logs
    • documenting backup and recovery procedures
    • mirroring
    • rollback
  • updating in batch systems:
    • historical significance
    • limitations of batch processing
    • technology required
    • steps in a batch update
    • suitable applications
  • updating in on-line real time systems:
    • relevance and impact
    • technology required
    • hardware requirements – large secondary storage
    • software requirements – (on-line database) with user friendly interface
    • steps in on-line real time processing
    • suitable applications
Rounded Rectangular Callout: Dot points have been reworded to provide greater clarity.

 

 

  • store digital data in databases and other files in such a way that it can be retrieved, modified and further processed

 

  • implement systems to store paper transactions

 

 

 

 

  • select and apply backup and recovery procedures to protect data
Rounded Rectangular Callout: New backup and recovery techniques have been included to provide currency.
  • document, including diagrammatical representations, the steps in batch processing
  • document, including diagrammatical representations, steps in real time transaction processing
  • identify systems for which batch is appropriate and is not appropriate
  • distinguish between on-line real time and batch systems
  • create and use a transaction processing system

Rounded Rectangular Callout: The original syllabus required students to create and use both batch and real-time transaction processing systems. This requirement has been scaled back so that students may focus on one or the other.

other information processes in transaction processing systems

  • collecting in transaction processing:
    • hardware
      (See Course Specifications Document)
    • collection from forms
    • screen design for on-line data collection
    • web forms for transaction processing (real time and batch)
Rounded Rectangular Callout: This dot point has been moved from the previous section because it was out of place in the original syllabus. 
  • analysing data, in which output from transaction processing is input to different types of information systems, such as:
    • decision support
    • management information systems
    • data warehousing systems (for data mining)
    • enterprise systems

 
  • describe the operation of relevant hardware and how each is used to collect data for transaction processing
  • design and justify paper forms to collect data for batch processing
  • design user friendly screens for on-line data collection
  • identify existing procedures that may provide data for transaction processing
  • create user interfaces for on-line real time and batch updating, and distinguish between them

 

 

 

 

  • identify situations where data warehousing and data mining would be an advantage
Rounded Rectangular Callout: Additional examples have been provided. 

issues related to transaction processing systems

  • changing nature of work and the effect on participants, including:
    • the automation of jobs once performed by clerks
    • shifting of workload from clerks to members of the public
  • the need for alternate procedures to deal with transactions when the TPS is not available
  • bias in data collection:
    • when establishing the system and deciding what data to collect
    • when collecting data
  • the importance of data in transaction processing, including:
    • data security
    • data integrity
    • data quality
  • control in transaction processing and the implications it has for participants in the system
  • current and emerging trends in transaction processing
    (See Course Specifications Document)
  • assess the impact on participants involved in transaction processing
  • identify jobs that have changed and/or jobs that have been created as a result of transaction processing, and report on the implications of these changes for participants in the system
  • discuss alternatives for when the transaction processing system is not available and explain why they need to be periodically tested

 

 

  • identify security, bias and accuracy problems that could arise from the actions of participants

 

 

 

  • recognise the significance of data quality

Rounded Rectangular Callout: ‘Quality data' is a new term that has replaced ‘data accuracy'.

9.4.2 Option 2: Decision Support Systems

When the task that end user(s) need to perform involves decision-making, the information system required is a decision support system. They can be used in situations that are unstructured, where there is no clear-cut path to the decision, or semistructured, where there is some indication of the path to take. Decision support systems use combinations of models, analytical tools, databases and automated processes to assist decision-making. Automated processing is achieved via intelligent systems that either focus on rules, such as expert systems, or pattern detection in data, such as neural networks. The interactive nature of decision support systems requires that user(s) have an understanding of analytical tasks. Decision support and intelligent systems make use of all information processes. This topic focuses on organising, analysing and processing.

Outcomes

A student:

  • H1.1 applies and explains an understanding of the nature and function of information technologies to a specific practical situation
  • H1.2 explains and justifies the way in which information systems relate to information processes in a specific context
  • H2.1 analyses and describes a system in terms of the information processes involved
  • H2.2 develops and explains solutions for an identified need which address all of the information processes
  • H3.1 evaluates and discusses the effect of information systems on the individual, society and the environment
  • H3.2 demonstrates and explains ethical practice in the use of information systems, technologies and processes
  • H4.1 proposes and justifies ways in which information systems will meet emerging needs
  • H5.1 justifies the selection and use of appropriate resources and tools to effectively develop and manage projects
  • H5.2 assesses the ethical implications of selecting and using specific resources and tools, recommends and justifies the choices
  • H6.1 analyses situations, identifies needs, proposes and then develops solutions
  • H6.2 selects, justifies and applies methodical approaches to planning, designing or implementing solutions
  • H7.1 implements and explains effective management techniques
  • H7.2 uses methods to thoroughly document the development of individual and team projects.

Students learn about: Students learn to:

characteristics of decision support systems

  • decision support systems – those that assist user(s) in making a decision
  • the interactive nature of decision support systems
  • the nature of decision support systems which model, graph or chart situations to support human decision making

 

  • select and recommend situations where decision support systems could be used

Rounded Rectangular Callout: There has been minor rewording of dot points to provide greater clarity.

categories of decision making

  • structured:
    • decisions are automated
    • decision support systems are not required
  • semistructured:
    • there is a method to follow
    • requirements are clear cut
  • unstructured:
    • there is no method to reach the decision
    • judgements are required
    • requires insights into the problem
  • classify situations which are structured, semistructured or unstructured

examples of decision support

  • semistructured situations, such as:
    • a bank officer deciding how much to lend to a customer
    • fingerprint matching
  • unstructured situations, such as:
    • predicting stock prices
    • disaster relief management
  • the use of systems to support decision making, including:
    • spreadsheets
    • databases
    • expert systems
    • neural networks
    • data warehouses
    • group decision support systems
    • Geographic Information System (GIS)
    • Management Information Systems (MIS)

 
  • identify participants, data/information and information technology for an example of a decision support system
  • describe the relationships between participants, data/information and information technology for an example of a decision support system
  • analyse trends and make predictions using an existing spreadsheet model
  • extract data, based on known criteria, from an existing database to help make a decision
  • recognise appropriate decision support systems for a given a situation

 

 

 

 

Rounded Rectangular Callout: Additional examples have been added to broaden student experience of decision support systems. 

organising and decision support

  • designing spreadsheets:
    • creating a pen and paper model
    • identifying data sources
    • planning the user interface
    • developing formulas to be used
  • the knowledge base of if-then rules in an expert system
  • design spreadsheets by:
    • linking multiple sheets to extract data and create summaries
    • use absolute and relative references in formulae
  • implement spreadsheets by:
    • entering data
    • naming ranges
    • creating templates
    • organising data for easy graphing
    • using formulae to link and organise data in cells
  • design a set of if-then rules for a particular situation
  • diagrammatically represent the if-then rules

 

processing and decision support

  • structure of expert systems
    • knowledge base
    • database of facts
    • inference engine
    • explanation mechanism
    • user interface
  • types of inference engines, including:
    • forward chaining
    • backward chaining
  • certainty factors as a means of dealing with unclear situations
  • pattern matching in neural networks
  • the use of macros to automate spreadsheet processing
  • enter rules and facts into an expert system shell and use it to draw conclusions or make a diagnosis
  • describe situations better suited to forward chaining and those better suited to backward chaining
  • create a simple macro in a spreadsheet
  • compare and contrast processing methods used by databases, neural networks and expert systems

 

analysing and decision support

  • data mining
  • extracting summary data from a spreadsheet
  • comparing sequences of data for similarities and differences
  • spreadsheet analysis, including:
    • what-if models
    • statistical analysis
    • charts
  • On-line Analytical Processing (OLAP)
    • data visualisation
    • drill downs
Rounded Rectangular Callout: OLAP is a new concept and includes new tools for data analysis. 
  • describe the process of data mining to search large databases for hidden patterns and relationships and use these to predict future behaviour
  • analyse alternatives using 'what-if' scenarios
  • make predictions based on the analysis of spreadsheets
  • use a simple neural network to match patterns
  • extract information from a database for analysis using a spreadsheet, including charting relevant data
  • distinguish between neural networks and expert systems
  • describe tools used for analytical processing

 

other information processes

  • collecting
    • identification of data for decision support systems
    • the role of the expert in the creation of expert systems
    • the role of the knowledge engineer in the creation of expert systems
  • storing and retrieving using intelligent agents to search data

 

 
  • determine the sources of data for a decision support system for a given scenario
  • describe the operation of intelligent agents in situations such as search engines for the Internet

Rounded Rectangular Callout: Some dot points on this page have been reworded to provide greater clarity.

issues related to decision support

  • the reasons for decision support systems, including:
    • preserving an expert's knowledge
    • improving performance and consistency in decision-making
    • rapid decisions
    • ability to analyse unstructured situations
  • responsibilities of those performing data mining, including:
    • erroneous inferences
    • privacy
  • responsibility for decisions made using decision support systems
  • current and emerging trends of decision support systems
    (See Course Specifications Document)
  • describe the impact on participants in decision support systems when some of their decision-making is automated and recommend measures to reduce negative impacts
  • identify situations where user(s) of decision support systems also require knowledge in the area
  • determine whether the decisions suggested by intelligent decision support systems are reasonable
  • demonstrate responsible use of a decision support system by using its findings for the intended purpose only
  • identify situations where decision support systems are of limited value
  • recognise the importance of business intelligence based on enterprise systems
Rounded Rectangular Callout: A new dot point has been added.
Rounded Rectangular Callout: Some dot points on this page have been reworded to provide greater clarity.

9.4.3 Option 3: Automated Manufacturing Systems

Manufacturing is the process of producing a product that meets a specific purpose. Manufacturing information systems support the production process in a number of ways, including the tracking of inventory, record keeping, the scheduling of production and carrying out production. Automated manufacturing systems have computerised controls built into the manufacturing equipment. Data is gathered through sensors and following some processing, a signal is sent to an actuator, a device that performs some mechanical action. While such information systems carry out all of the information processes, the information process focused on in this topic is collecting.

Outcomes

A student:

  • H1.1 applies and explains an understanding of the nature and function of information technologies to a specific practical situation
  • H1.2 explains and justifies the way in which information systems relate to information processes in a specific context
  • H2.1 analyses and describes a system in terms of the information processes involved
  • H2.2 develops and explains solutions for an identified need which address all of the information processes
  • H3.1 evaluates and discusses the effect of information systems on the individual, society and the environment
  • H3.2 demonstrates and explains ethical practice in the use of information systems, technologies and processes
  • H4.1 proposes and justifies ways in which information systems will meet emerging needs
  • H5.1 justifies the selection and use of appropriate resources and tools to effectively develop and manage projects
  • H5.2 assesses the ethical implications of selecting and using specific resources and tools, recommends and justifies the choices
  • H6.1 analyses situations, identifies needs, proposes and then develops solutions
  • H6.2 selects, justifies and applies methodical approaches to planning, designing or implementing solutions
  • H7.1 implements and explains effective management techniques
  • H7.2 uses methods to thoroughly document the development of individual and team projects.

Students learn about: Students learn to:

characteristics of automated manufacturing systems

  • automated manufacturing systems as information systems involved in production, by inventory tracking, record keeping, production scheduling and actual production
  • the direct users of these systems as
    • supervisors overseeing operation
    • people whose task is dependent on the system for information
  • the ability of these systems to collect data from the environment through a wide range of sensors, process this data into information and use this information to complete a physical task
  • the use of microprocessors in these systems as the controller
  • block diagrams as a tool for describing the interactions between information technology items within these systems

 

  • identify and describe the features of automated manufacturing systems
  • describe how participants within these systems interact with the information technology within the system
  • represent the information technology within an automated manufacturing system with a block diagram
  • within an automated manufacturing system evaluate and refine block diagrams to show more detail for a given situation and identify the sequence of steps that occur

examples of automated manufacturing systems

  • specific examples, including:
    • assembly line production such as the car industry
    • materials and production scheduling
    • automated warehouses
    • CAD/CAM such as: computing numerical control (CNC) systems
    • rapid prototyping
    • mail sorting
  • reasons for automation, including:
    • repetitive tasks
    • faster decision-making
    • safety
    • cost reduction
    • customisation
    • quality control
    • precision and acceptable tolerance range
    • productivity gains
    • gains through simulating and modelling, such as:
      • automated structural calculations
      • automated ordering of components
  • identify participants, data/information and information technology for each example of automated manufacturing systems
  • discuss the relationships between participants, data/information and information technology for each example of automated manufacturing systems
  • outline the reasons for automation in each of the examples
  • diagrammatically represent the processing steps in automated manufacturing systems

 

 

 

Rounded Rectangular Callout: New dot points have been added to ensure that students get practise at representing systems.

Rounded Rectangular Callout: Additional examples have been given.

 

collecting in automated manufacturing systems

  • systems that collect data and information from participants via computer aided design (CAD) software and directly link this to the rest of the system through computer aided manufacture (CAM)
  • identification of the data to be collected and the most appropriate input device
  • the physical operation and scientific principle(s) underlying sensors used to collect data, including:
    • temperature
    • pressure
    • motion
    • flow
    • light
  • the integration of sensors into manufacturing machinery to automate processing, such as:
    • robotic arms
    • conveyor belts
  • barcode readers, radio frequency identifiers tags (RFID) and inventory tracking and production
  • the analog nature of the data collected by the sensors and its conversion to digital for use in the system
  • damping as the process that modifies the signal to the output device based on the input signal
  • types of damping, including:
    • underdamping – a quick response to change leading to rapid fluctuations
    • overdamping – a slow response to change without fluctuations
    • critical damping – a quick response to change and quick return to stability
  • discuss the relationship between cad and CAM in manufacturing systems
  • use a CAD software package to reproduce a given design
  • identify data required by a manufacturing system
  • recommend the most appropriate device to collect data for a given scenario
  • describe the physical operation and the scientific principle(s) underlying this for each sensor
  • use a range of available sensors to collect data that could be used in an automated manufacturing system

Rounded Rectangular Callout: New content has been added.

  • describe the operation of barcode readers and RFID tags and how they can assist in inventory tracking and production
  • describe the process of converting from analog to digital data and demonstrate this with available information technology
  • describe a situation where changes in collected data lead to a requirement for damping
  • justify the type of damping for a given situation

Rounded Rectangular Callout: There has been minor rewording of the dot points in this section to provide greater clarity.

other information processes in manufacturing systems

  • processing:
    • the trend to mass-production while meeting the needs of individuals
    • the different types of systems, including:
      • continuous
      • batch
      • discrete
      the features of each type of system, the types of tasks they perform and the scheduling of these tasks
  • displaying:
    • actuators – specialised display devices that perform a mechanical action under the control of the system
    • types of actuators, including:
      • solenoid
      • motor
      • stepping motor
      • relay
      • hydraulic pumps
    • the conversion from digital to analog to control actuators
  • transmitting and receiving:
    • noise as the interference in a signal
    • the causes of noise
    • ways of correcting noise
  • identify manufacturing systems that quickly adapt to a particular need yet still mass produce, such as a car manufacturing plant that mass produces cars but in the colours required by customers
  • describe the features of each type of system
  • categorise and justify the categorisation of systems as either continuous, discrete or batch
  • recommend a suitable actuator for a given situation
  • distinguish between situations suitable for the use of each type of actuator
  • describe the process involved in converting a digital signal to an analog signal
  • identify noise in relation to signals within the system and recommend techniques for reducing it
  • construct a simple automated manufacturing system
Rounded Rectangular Callout: This is a new dot point to allow students to undertake meaningful project work in this topic. 

issues related to automated manufacturing systems

  • the changing nature at work resulting from automation in manufacturing technology
  • the advantages of semi-automation by utilising skills of people which leads to job satisfaction, including:
    • flexibility
    • common sense
    • ingenuity
  • the need to develop systems that are human-centred and assist participants to complete tasks, as opposed to machine-centred systems where humans assist machines
  • the reliability and quality of performing repetitive tasks such as: automatic painting, spot welding, newspaper production and computer embroidery
  • the improved safety as a result of automated manufacturing
  • current and emerging trends in automated manufacturing systems
    (See Course Specifications Document)

 

 

  • discuss the arguments for and against automation from society's perspective
  • investigate the effect of de-skilling on participants in the information system

 

 

  • describe the positive and negative impacts of working in an automated industry
  • classify systems as either machine-centred or human-centred and justify the classification
  • propose and develop human-centred information systems
  • describe situations where participants and automation functions work well together
    • Rounded Rectangular Callout: This dot point has been added to provide consistency between option topics. That is, current and emerging trends are covered in each option topic.

9.4.4 Option 4: Multimedia Systems

Multimedia systems are information systems that combine the different types of media. Professional multimedia systems, especially when being created, involve many participants with a wide breadth of experience. Multimedia systems encompass the entire information process. This topic emphasises the information process of displaying.

Outcomes

A student:

  • H1.1 applies and explains an understanding of the nature and function of information technologies to a specific practical situation
  • H1.2 explains and justifies the way in which information systems relate to information processes in a specific context
  • H2.1 analyses and describes a system in terms of the information processes involved
  • H2.2 develops and explains solutions for an identified need which address all of the information processes
  • H3.1 evaluates and discusses the effect of information systems on the individual, society and the environment
  • H3.2 demonstrates and explains ethical practice in the use of information systems, technologies and processes
  • H4.1 proposes and justifies ways in which information systems will meet emerging needs
  • H5.1 justifies the selection and use of appropriate resources and tools to effectively develop and manage projects
  • H5.2 assesses the ethical implications of selecting and using specific resources and tools, recommends and justifies the choices
  • H6.1 analyses situations, identifies needs, proposes and then develops solutions
  • H6.2 selects, justifies and applies methodical approaches to planning, designing or implementing solutions
  • H7.1 implements and explains effective management techniques
  • H7.2 uses methods to thoroughly document the development of individual and team projects.

Students learn about: Students learn to:

characteristics of multimedia systems

  • multimedia systems – information systems that include combinations of the following media, including:
    • text and numbers
    • audio
    • images and/or animations
    • video
    • hyperlinks
  • the differences between print and multimedia, including:
    • different modes of display
    • interactivity and involvement of participants in multimedia systems
    • ease of distribution
    • authority of document

 

  • use multimedia systems in an interactive way and to identify how they control the presentation of information
  • identify multimedia software appropriate to manipulating particular types of data

 

 

  • compare and contrast printed and multimedia versions with similar content
Rounded Rectangular Callout: New areas for comparison have been added.
  • the demands placed on hardware by multimedia systems, including:
    • primary and secondary storage requirements as a result of:
      • bit depth and the representation of colour data
      • sampling rates for audio data
    • processing as a result of:
      • video data and frame rates
      • image processing, including morphing and distorting
      • animation processing, including tweening
    • display devices as a result of:
      • pixels and resolution
  • the variety of fields of expertise required in the development of multimedia applications, including:
    • content providers
    • system designers and project managers
    • those skilled in the collection and editing of each of the media types
    • those skilled in design and layout
    • those with technical skills to support the use of the information technology being used

 
  • summarise current information technology requirements for multimedia systems

 

 

  • distinguish between different approaches to animation including path-based and cell-based through practical investigations

 

 

  • describe the roles and skills of the people who design multimedia systems

examples of multimedia systems

  • the major areas of multimedia use, including:
    • education and training
    • leisure and entertainment
    • information provision, such as information kiosk
    • virtual reality and simulations such as flight simulator
    • combined areas such as educational games
  • advances in technology which are influencing multimedia development
    (See Course Specifications Document)
Rounded Rectangular Callout: There has been minor rewording of dot points on this page to provide greater clarity.
  • identify participants, data/information and information technology for one example of a multimedia system from each of the major areas
  • describe the relationships between participants, data/information and information technology for one example of a multimedia system from each of the major areas
  • discuss environmental factors that will influence the design of a multimedia system for a given context, and recommend ways of addressing them
  • critically evaluate the effectiveness of a multimedia package within the context for which it has been designed
  • interpret developments that have led to multimedia on the World Wide Web
  • discuss multimedia systems that address new technological developments
  • compare and contrast multimedia presentations

 

displaying in multimedia systems

Rounded Rectangular Callout: Sections of this topic have been moved to the Specifications Document to try to maintain currency. 

 
  • describe how relevant hardware devices display multimedia and use a variety of devices
  • implement features in software that support the displaying of multimedia and explain their use
  • use available hardware and software to display multimedia and interact with it
  • summarise the techniques for collecting, storing and displaying different forms of media and implement these in practical work
  • create samples of the different media types suitable for use in a multimedia display

other information processes in multimedia systems

  • processing:
    • the integration of text and/or number, audio, image and/or video
    • compression and decompression of audio, video and images
    • hypermedia – the linking of different media to one another
  • organising presentations using different storyboard layouts, including:
    • linear
    • hierarchical
    • non-linear
    • a combination of these
  • storing and retrieving:
  • collecting:
    • text and numbers in digital format
    • audio, video and images in analog format
    • methods for digitising analog data

 
  • describe the process of analog to digital conversion
  • plan a multimedia presentation using a storyboard
  • diagrammatically represent an existing multimedia presentation with a storyboard
  • design and create a multimedia presentation
  • combine different media types in authoring software
  • design and create a multimedia world wide web site that includes text and numbers, hypertext, images, audio and video
  • identify standard file formats for various data types

 

  • recommend an appropriate file type for a specific purpose
  • describe the compression of audio, image and video data and information
  • decide when data compression is required and choose an appropriate technique to compress data and later retrieve it
  • capture and digitise analog data such as audio or video

issues related to multimedia systems

  • copyright: the acknowledgment of source data and the ease with which digital data can be modified
  • appropriate use of the Internet and the widespread application of new developments
  • the merging of radio, television, communications and the Internet with the increase and improvements in digitisation
  • the integrity of the original source data in educational and other multimedia systems
  • current and emerging trends in multimedia systems
    (See Course Specifications Document)
  • evaluate and acknowledge all source material in practical work
  • use Internet based multimedia presentations in a responsible way
  • predict and debate new technological developments based on advancements in multimedia systems
  • cross-reference material supplied in multimedia presentations to support its integrity

 

 

 

Rounded Rectangular Callout: New dot points have been added to this page.
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