A check to ensure the data is reasonable or allowable.
Learn all validation checks:
¾ Data type check – checking the correct item of data is entered in a field. For example, wages is currency.
¾ Presence check – checking that data has been entered in a cell. For example, title or gender must have an answer.
¾ Check digit – self-calculating check to ensure large numbers are entered correctly.
¾ Format check – checking data is in the correct style. For example, date of birth needs to be in dd/mm/yyyy.
¾ Range check – checking the data fits between two values. Identify the problem, explain how it could have happened, what check (range), and then specify the appropriate range.
Staying Safe Online
- Do not give personal details
- People may not be who they say they are
- They could be people that want to harm you
- Do not meet
Misuse of Images
- You could be identified from a picture alone
- Image could be altered
- Image might be passed on or posted onto inappropriate websites
- No swearing
- No offensive phrases
- No lies about others
- No cyberbullying
- Ensure material can be read by anyone
~Read the question
~Look at the context
- Make/break sensor (used in alarms)
School ICT Systems
IT systems that allow organisations to store and utilise large amounts of data.
SEN –Special Educational Needs
Examinations – what exams you are entered for, what you have or haven’t done, target grades.
School Regestration Systems
They want to know how the data is captured.
- Paper based systems – simple, but can be changed and forged.
- Computer based systems real time processing – simple, easy to use, but hacking and loosing data can occur.
- Swipe cards / Smart Cards real time processing – fast, need no manual labour but can be misplaced, people can steal them, expensive
- OMR – Optical Mark Reader – very fast, faster and more accurate than paper based systems but records can be lost, mistakes can be made, not very fast
- Biometrics – finger print scanning or thumb print scanning or retina scan – cannot be forged, but is expensive
Often used when data needs to be collected in remote or inhospitable conditions.
The Advantages of manual methods are:
- Readings can be much more accurate
- Data can be logged at any time – no need for manual input
- Humans no longer have to do boring, time consuming, repetitive work.
Data Logging CONT
Logging Interval (AKA Logging Period) – total period of logging.
Frequency of logging – The time interval between logging (between measurements).
Purposes of logging:
- Collecting scientific data
- Monitoring hospital patients
- Monitoring air quality
- Collecting weather data
These could be:
- Apps – french app to translate.
- Tablets –use on a geography field trip as a map and a camera.
- Smart Devices – use in P.E lesson to take heart rate.
- Augmented Reality Glasses – in ICT you could use them in a game.
- Podcasts – use in revision to learn in an auditory way.
Home & Personal Communication
A satellite sends data signals between different continents.
What do you need to connect to the internet?
A modem (modulator - demodulator).
Dial up Modem
- It was very slow.
- You could not use the phone at the same time.
Is better because:
- Can use the phone at the same time.
- Download files at high speeds.
- You can watch TV programs.
- You can listen to the radio.
Sometimes called Wi-Fi. Use a router to allow multiple devices to connect.
- You don’t have to plug in any cables (clearer work area & much safer as you don’t trip up).
- You can work anywhere there is a wireless connection.
- Less cost – you don’t have to put wires in.
- It is much easier to hack a wireless network.
- Lack of signal in some areas.
Bluetooth and GIS (Geographical Information System)
Bluetooth is a way of sharing files over short distances.
GIS is a use of geographical data – capturing, managing, managing or displaying data.
A database is an electronic way of storing information.
- Less likely to lose data.
- More accurate because of validation checks.
Example of use
Surname = ’Jones’ Lists all the people who have the surname Jones.
Is not equal to
Code <> 3 would list all of the codes other than code 3.
Qty > 20 lists the details where the field Qty is over 20.
Age < 18 lists all the details where the age is less than 18.
Greater than or equal to
Price >= 20 lists all the details where the price is greater than or equal to 20.
Less than or equal to
Date <= 01/12/10 means the date must be on or before 01/12/10.
Where the data is only listed where both the conditions are true
Surname = ‘Jones’ AND Age < 16 would show the details where the surname is Jones and the age is less that 16.
Where the data is only listed where either or both conditions are true.
Surname = ‘Jones’ OR Age < 16 would show the details where the surname is Jones, or the age is 16, or both.
Where a perfect match is not needed – perfect and close matches are listed
Like Surname = Jon will list the surnames starting with the letters Jon.
Sorts on a Database
A Key Field is a unique identifier or value.