ICT1 - 1

Home ] Up ] [ ICT1 - 1 ] ICT1 - 2 ] ICT1 - 3 ] ICT1 - 4 ] ICT1 - 5 ] ICT1 - 6 ] ICT1 - 7 ] ICT1 - 8 ] ICT1 - 9 ] ICT1-10 ] ICT2 - 1 ] ICT2 - 2 ] ICT2 - 3 ] ICT2 - 4 ] ICT2 - 5 ] ICT2 - 6 ] ICT2 - 7 ] ICT2 - 8 ] ICT4 - 1 ] ICT4 - 2 ] ICT4 - 3 ] ICT4 - 4 ] ICT4 - 5 ] ICT4 - 6 ] ICT4 - 7 ] ICT4 - 8 ] ICT4 - 9 ] ICT4 - 10 ] ICT5 - 1 ] ICT5 - 2 ] ICT5 - 3 ] ICT5 - 4 ] ICT5 - 5 ] ICT5 - 6 ] ICT5 - 7 ] Previous Homeworks ] Network Topology ]

 

ICT1 - Information: Nature, Role and Context

Topic 1 - Knowledge, Information and Data

 

Example:  Getting a balance of account from an ATM (cashpoint machine)

The INPUT (data) would be the card (magnetic stripe) and the pin number and instructions entered via a keypad.

The PROCESS will be the computer doing a search (and possibly a calculation) to ascertain the user's balance.

The OUTPUT (information) would be the balance, which will either appear on the screen or be printed on a slip of paper (or both).

 

KNOWLEDGE, INFORMATION and DATA.

"Information" is "data" that has been processed. Data is raw facts and figures, whereas Information is data that has been processed and given a context.

For example, a red traffic light is data. The meaning that we attach to this data is "Stop". When you drive up to a red light and stop, you do so because your brain sees the data and process it.

Knowledge is an understanding of "rules". For example, "smoking can cause cancer", "revising hard means you stand a better chance of passing exams", "run and you will get there faster".

A "knowledge worker" is someone who is employed because they understand rules related to a particular task. For example, a doctor has an understanding of the rules of medicine, a lawyer understands the law.

McAfee Helpdesk Suite is an example of an "Expert System". You might also want to look at the Windows Troubleshooter.

 

Example (2):  A Bank Statement

250 is DATA (because this figure is meaningless when out of context)

£250 on a bank statement is INFORMATION because it is meaningful.

"If I only have £250 in my bank account, I haven't got enough money to pay my bills" is KNOWLEDGE

 

Example (3):  A Doctor

A patient arrives with certain symptoms i.e. runny nose, sore throat, headache (the symptoms are DATA).

A doctor (a knowledge worker) understands that these symptoms can mean that the patient either has a cold, flu or hay fever.

The doctor uses an information system to ascertain that the patient has hay fever (INFORMATION).

 

Case Study:  Mr Haverstock (Heathcote page 35). Consider these questions:

 

Case Study:  Pfizer UK

 

Sources of Data

There are direct and indirect sources of data.

An indirect source is where data is used for a purpose other than that for which it was originally collected

Examples:

N.B. The Data Protection Act restricts the rights of organisations to use data for secondary purposes.

 

Encoding Information as Data

This means turning information into data, so that it can be understood by a computer. For example, the letters M and F might be used to indicate male or female. A postcode (e.g. SS = Southend on Sea) can be used to indicate a town. A date (e.g. 14th October 1966) can be translated to 14/10/66.

 

GIGO (Garbage In = Garbage Out)

If users enter data incorrectly, the information that is outputted will inevitably be unreliable. Steps can be taken to minimise this problem (although it can never be eliminated completely) e.g. data validation in a database.

 

What is Information and Communications Technology?

Technology is the application of science to everyday tasks.

Information and Communications Technology is the application of science to:

The application of science to:

From an Industrial Society to an Information Society

The birth of an information society, and the death of the old industrial society, is the most important 'megatrend' - one that is still not universally recognised as a reality.

In the past, those who controlled capital controlled the world, but in an information society the 'world controllers' will be those who control information.

Having access to the facts is not the key; everyone receives more or less the same information.  In fact we are drowning in information, but often starved for knowledge.  The trick is to filter out correct knowledge; to pull useful information from the endless sea of computerised data.

Megatrends - John Naisbitt, 1982

Reading: Heathcote chapter 8 (4 pages)

Doyle (pages 1-11) - a photo essay