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UNIT 7: ALGORITHMS AND PROBLEM SOLVING

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À propos de cette activité

Descriptions of Section 7

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UNIT 7: ALGORITHMS AND PROBLEM SOLVING
 

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UNIT 7: ALGORITHMS AND PROBLEM SOLVINGVersion en ligne

Descriptions of Section 7

par Jonathan Dunsby
1

Analysis
Before any problem can be , it needs to be clearly and set out so anyone working on the solution understands what is . This is called the ? requirements ? for the program . The stage uses abstraction and decomposition tools to identify exactly what is required from the program . Abstraction keeps the key elements required for the solution to the and discards any unnecessary and information that is not required . For example , a map only shows what is required for travelling from one to
another . Different methods of transport will require different types of map .

2

Decomposition breaks a complex problem into parts , which can then be into even smaller , that can be solved easily . Any daily task can be divided into its constituent parts .

For example , getting dressed :
» Select items to
» any clothes being worn
» Put selected on in order .

3

Design : The program from the analysis stage is used to show to how the should be . When the design stage is complete , the programmer should know what is to be done , i . e . all the that need to be completed , how each task is to be and how the tasks work . This can be formally documented using structure charts , and pseudocod e

4

Coding and iterative testing
The program or set of programs is . Each module of the program is using a suitable programming language and then tested to see if it . Iterative testing means that tests are conducted , code , and tests until the module performs as required .

5

Testing : The completed or set of programs is run many times with different sets of test . This ensures that all the tasks completed work as specified in the program .

6

Computer systems , sub - systems and decomposition
A computer system is made up of , data , hardware , communications and people ; each computer system can be divided up into a set of sub - . Each sub - system can be further divided into sub - systems and so on until each
sub - system just performs a action . Computer systems can be very large , very small or any size in between ; most
people with many different computer systems during their daily life
without realising it . For example , when you wake up in the morning , you might use an app on your smartphone for your , then you might check the weather forecast on your computer before driving to work . The alarm program is a very small system but when you check the weather forecast , you obtain the information you need from one of the largest computer systems in the world .

7

The computer system and its sub - systems
In order to understand how a computer system is built up and how it works it is
often up into sub - systems . This division can be shown using - down design to produce structure diagrams that demonstrate the construction of the system . Each sub - system can be developed by a programmer as a - routine .

How each sub - routine works can be shown by using flowcharts or pseudocode .

Top - down design is the decomposition of a computer system into a set of sub - systems , then breaking each sub - system down into a set of sub - systems , until each sub - system just performs a action . This is an effective way of designing a computer system to provide a solution to a problem , since each part of the problem is broken down into smaller more problems . The
process of breaking down into smaller sub - systems is called refinement . This structured approach works for the development of both large and small computer systems . When larger computer systems are being developed this means that several programmers can work independently to develop and test different sub - systems for the system at the same time . This reduces the development and time .

8

Decomposing a problem
Any problem that uses a computer system for its solution needs to be decomposed into its parts . The component parts of any computer
system are :
» inputs ? the data used by the system that needs to be while the system is active
» processes ? the tasks that need to be using the input data and any other previously stored data
» outputs ? information that needs to be or printed for the users of the system
» storage ? data that needs to be in files on an appropriate medium for use in the future .

9

Methods used to design and construct a solution to a problem

Structure diagrams Structure diagrams can be used to show top - down design in a diagrammatic form . Structure diagrams are , showing how a computer solution can be divided into sub - systems with each level giving a more breakdown . If necessary , each sub - system can be further .

10

Pseudocode is a simple method of showing an . It describes what the algorithm does by using key words that are very similar to those used in a high - programming language . Data items to be by the algorithm are given meaningful in the same way that and constants are in a high - level programming language . However , pseudocode is not bound by the strict rules of a programming language . It does what its name says , it pretends to be programming code !

11

» a non - proportional is used throughout
» all keywords ( words used to describe a specific e . g . ) are written in letters
» all given to items and start with a capital
» where and loop are used , or selected statements are by spaces .

12

Pseudocode for conditional statements
When different actions are performed by an algorithm according to the of the , conditional can be used to which action should be . There are two types of statement :
A condition that can be or false such as : . . . THEN . . . . . . ENDIF

13

For an condition the path is if the condition is and the path is followed if the is false . There may or may not be an ELSE path . The end of the statement is shown by .

14

There are different ways that an IF can be set up : Use of a variable that can have the TRUE or

made by using comparison , where comparisons are made from left to , for example : A > B means ? A is than B ?
Comparisons can be simple or more complicated ,

15

Another way to use statements is a choice between several values , such as : CASE OF . . .
OTHERWISE . . .

For a CASE statement the value of the decides the path to be taken . Several values are usually . OTHERWISE is the path taken for other values . The of the statement is shown by ENDCASE .

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