• From coded evidence to network questions.

    Learn behavioral and document coding with ObsNet Studio. Build a project, compare conditions, inspect TNA/ENA/ONA, and deliver a reproducible portfolio.

    A course workflow connects source evidence, themes and conditions, and network questions.

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    A practical research workflow

    1. Define your question and project.
    2. Code point events and state intervals.
    3. Code exact document passages and bounded conditions.
    4. Review disagreement and improve a codebook.
    5. Choose and inspect transition, co-occurrence and ordered-response models.
    6. Export a reproducible, carefully interpreted portfolio.

    English AI narration, captions, transcripts, real app demonstrations and original synthetic practice files. Six core modules plus optional advanced readings. Estimated core workload 10–14 hours, including practice; human timing has not been validated.

    Four rubric-reviewed milestones determine completion. Video views and conceptual practice do not substitute for project evidence. This is independent non-credit professional development.

    Access and alternatives

    Use the authenticated browser practice app or a desktop installer provided within the course. No paid AI service or GitHub login is required. R has a manual alternative; solo learners have a supplied synthetic second-coder trace. Use a laptop/desktop for detailed coding.

    Instructor: Jewoong Moon. Original course text and synthetic data: CC BY 4.0. ObsNet app/manual: GPL-3.0-or-later with source and notices. Site and learning-data policy.