research-methodology-polban

Updated 17 Sep 2026

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Overview
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  A knowledge collection for Research Methodology, combining the Research Canvas tutorial and practicum guide. Covers problem formulation, literature synthesis, research design, operational definitions, sampling, computational evaluation, data quality, ethics, reproducibility, and proposal/report structure. Statistical tests and machine-learning algorithms are introduced as methodological choices, not developed into full mathematical treatments. The 22-component canvas is this course’s organizing template, not a universal mandatory research standard.
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Materials
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  Research Planning
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  Literature and Contribution
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  Variables and Measurement
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  Data and Evaluation
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    Population
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    Sample (Statistics)
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    Sampling (Statistics)
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    Types of Data Collection
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    Dataset Splitting
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    Cross-Validation
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    Data Leakage (Machine Learning)
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    Unavailable reference
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    Analysis Plan
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    Unavailable reference
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  Responsible and Reproducible Research
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    Research Ethics
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    Computational Reproducibility
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  Scientific Communication

Linked references 2