32.10.1 - Data Availability and Quality
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Practice Questions
Test your understanding with targeted questions
What is data quality?
💡 Hint: Think about what makes data useful for AI.
List one challenge related to data availability.
💡 Hint: Consider issues at construction sites.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is the consequence of using biased data in AI models?
💡 Hint: Think about how bias influences results.
True or False: Data integrity is less important than data availability.
💡 Hint: Reflect on the definitions of both terms.
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Challenge Problems
Push your limits with advanced challenges
How would you design a data collection strategy to ensure high data quality in civil engineering projects? Outline your steps.
💡 Hint: Consider the elements of good data practices.
Evaluate the impact of a project that relied on biased datasets for AI decision-making. What were the key results?
💡 Hint: Think about the importance of data diversity.
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