Metadata
Technology & Computer Science Graduate Understand Easy-
Subject
Technology & Computer Science
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Education level
Graduate
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Cognitive goals
Understand
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Difficulty estimate
Easy
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Tags
complexity theory, P vs NP, NP-completeness, NP-hard, reductions
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Number of questions
5
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Created on
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Generation source
Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini
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License
CC0 Public domain
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Prompt
Assess graduate students' conceptual understanding of the complexity classes P, NP, NP-complete, and NP-hard by asking for intuitive definitions, key differences, representative examples (decision vs. optimization problems), the roles of deterministic vs. nondeterministic polynomial time, the meaning and purpose of polynomial-time reductions and completeness, and brief discussion of practical implications; emphasize clear conceptual explanations and simple illustrative reasoning rather than formal proofs.
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%
Mock data used for demo purposes.