Computational Science data information etc

tanveerdevcs 0 views 8 slides Oct 08, 2025
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About This Presentation

Information is data that has been processed and organized to give it meaning and context. It is useful for decision-making and helps us understand the patterns behind the raw data. For instance, presenting temperature readings over time in a graph transforms raw data into information that reveals tr...


Slide Content

Data, Information, and Knowledge in Computational Science • Raw facts and figures • No context or meaning by themselves • Collected through observation, measurement, or research • Examples: Numbers, dates, symbols

Information • Processed or organized data • Gives context and meaning • Useful for decision-making • Example: Temperature readings presented over time

Knowledge • Insights and understanding gained from information • Combines information with experience, values, and context • Enables action and problem-solving • Example: Knowing how to react to a temperature trend

Computational Science • Interdisciplinary field using computers, models, and simulations • Solves complex scientific and engineering problems • Integrates mathematics, computer science, and domain knowledge • Accelerates research in physics, biology, climate science, etc.

Benefits • Enables analysis of large and complex datasets • Speeds up scientific discovery and innovation • Provides accurate simulations and predictions • Enhances decision-making and problem-solving

Limitations • Requires significant computational resources • Dependent on data quality and model accuracy • Risk of misinterpretation of results • Complex systems may be difficult to model completely

Constraints • Hardware and software limitations • Availability of reliable data • Time and cost factors • Ethical and privacy concerns in data handling

Conclusion • Data, information, and knowledge form a hierarchy • Computational science leverages this hierarchy for advanced problem-solving • Offers immense benefits, but care must be taken regarding limitations and constraints • Continuous advancements are shaping the future of science and technology
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