Computer modelling is the use of computer programs and algorithms to simulate and analyse complex systems or processes. The accuracy and reliability of computer models depend on the quality of input data and algorithms used.
- Personal finance: Budgeting, investment planning, and financial forecasting
- Helps individuals and families manage their finances effectively
- Bridge and building design: Structural analysis and simulations to test designs
- Ensures the safety and stability of structures before construction
- Flood water management: Predicting and analysing flood risks and mitigation strategies
- Supports planning and decision-making for disaster management
- Traffic management: Analysing traffic patterns and optimising transportation systems
- Aids in reducing congestion and improving traffic flow
- Weather forecasting: Using complex algorithms and historical data to predict weather conditions
- Helps people plan and prepare for upcoming weather events
Advantages | Disadvantages |
| Faster calculations and processing | Dependence on accurate input data and assumptions |
| Reduced human error and bias | Limited by the quality and complexity of the algorithms used |
| Ability to simulate multiple scenarios and test different variables | May overlook unique or unpredictable situations not covered by the model |
| Better visualisation of complex data and systems | Can be expensive and time-consuming to develop, maintain, and update models |
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