2514 - Modelling
Definition of Modelling
Definition of Modelling modelling is often known as simulation:
Definition of Modelling modelling is often known as simulation: “A method of predicting the likely behaviour of a real-life system by constructing a computer model.”
Reasons for Modelling
Reasons for Modelling to predict the response of a system under varying conditions;
Reasons for Modelling to predict the response of a system under varying conditions; to save cost;
Reasons for Modelling to predict the response of a system under varying conditions; to save cost; to change the timescale of a system;
Reasons for Modelling to predict the response of a system under varying conditions; to save cost; to change the timescale of a system; to remove the element of danger;
Reasons for Modelling to predict the response of a system under varying conditions; to save cost; to change the timescale of a system; to remove the element of danger; to speed up and assist the design process;
Characteristics of Modelling Software
Characteristics of Modelling Software a model usually consists of a series of rules,
Characteristics of Modelling Software a model usually consists of a series of rules, the rules usually written as mathematical expressions,
Characteristics of Modelling Software a model usually consists of a series of rules, the rules usually written as mathematical expressions, the rules determine how the model will behave in various situations,
Characteristics of Modelling Software a model usually consists of a series of rules, the rules usually written as mathematical expressions, the rules determine how the model will behave in various situations, the rules work on data fed into the model.
Characteristics of Modelling Software a model usually consists of a series of rules, the rules usually written as mathematical expressions, the rules determine how the model will behave in various situations, the rules work on data fed into the model. the model should behave in the same way as the situation that it represents.
Characteristics of Modelling Software a model usually consists of a series of rules, the rules usually written as mathematical expressions, the rules determine how the model will behave in various situations, the rules work on data fed into the model. the model should behave in the same way as the situation that it represents. the designer uses the model to predict how whatever it is modelling will behave in reality.
Types of Modelling Software
Types of Modelling Software Spreadsheets financial
Types of Modelling Software Spreadsheets financial Engineering design and analysis bridges, skyscrapers, aircraft. uses CAD (Computer Aided Design) packages
Types of Modelling Software Spreadsheets financial Engineering design and analysis bridges, skyscrapers, aircraft. uses CAD (Computer Aided Design) packages Scientific modelling weather forecasting, nuclear reactors
Types of Modelling Software Spreadsheets financial Engineering design and analysis bridges, skyscrapers, aircraft. uses CAD (Computer Aided Design) packages Scientific modelling weather forecasting, nuclear reactors Virtual Reality modelling software (VR) garden/kitchen design etc
Features of Modelling Software
Features of Modelling Software variables values that can be changed to see the effects contents of a cell that can be used in a function
Features of Modelling Software variables values that can be changed to see the effects contents of a cell that can be used in a function formulae calculate values perform calculations using mathematical operators
Features of Modelling Software variables values that can be changed to see the effects contents of a cell that can be used in a function formulae calculate values perform calculations using mathematical operators functions standard (built-in) routines used to perform common tasks SUM(), AVERAGE(), MAXIMUM(), LOOKUP()
Features of Modelling Software variables values that can be changed to see the effects contents of a cell that can be used in a function formulae calculate values perform calculations using mathematical operators functions standard (built-in) routines used to perform common tasks SUM(), AVERAGE(), MAXIMUM(), LOOKUP() create graphs based on the data analyse data patterns graphs change as the data changes
Features of Modelling Software variables values that can be changed to see the effects contents of a cell that can be used in a function formulae calculate values perform calculations using mathematical operators functions standard (built-in) routines used to perform common tasks SUM(), AVERAGE(), MAXIMUM(), LOOKUP() create graphs based on the data analyse data patterns graphs change as the data changes ‘what-if?’ calculations recalculation of answers based on changed values
Benefits of “What-If?” Questions
Benefits of “What-If?” Questions only one model needs to be created and then altered
Benefits of “What-If?” Questions only one model needs to be created and then altered model can recalculate values single values changed and model updated automatically. various combinations can be tried with the minimal effort
Benefits of “What-If?” Questions only one model needs to be created and then altered model can recalculate values single values changed and model updated automatically. various combinations can be tried with the minimal effort mistakes can be eradicated prior to construction
Modelling Process observe system identify parameters collect data formulate rules governing process determine required outputs test/modify rules