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4 changes: 2 additions & 2 deletions CLAUDE.md
Original file line number Diff line number Diff line change
Expand Up @@ -9,8 +9,8 @@ Educational materials for applied signal processing and time-series classificati
Top-level layout:
- `Tutorials/` — standalone teaching notebooks (NumPy, Matplotlib, Python, and signals: sampling/quantization, frequency analysis, comparing signals). Supported by the `makelab/` package.
- `Projects/GestureRecognizer/` — accelerometer gesture classification. The most substantial project; supported by the `gesturerec/` package.
- `Projects/StepTracker/` — step-counting from accelerometer data (exercise + example-solution notebooks).
- Many notebooks have a `*-Private.ipynb`, `*-Exercises.ipynb` / `*-WithExampleSolution.ipynb` split: the public/exercise version has cells for students to fill in; the private/solution version is the instructor answer key. `*-Private.ipynb` files are gitignored.
- `Projects/StepTracker/` — step-counting from accelerometer data (a single teaching notebook, `StepTracker-Exercises.ipynb`, that keeps the exercise prompts and shows worked "Example solution" cells).
- Per issue #6, the published notebooks are now **complete teaching artifacts**: each keeps its exercise prompt / "your turn" framing but adds a clearly-labeled `### Example solution` (markdown heading + worked code) immediately below, so the notebook runs top-to-bottom and serves as both lesson and answer key. New graded assignments are authored separately. (Historically there was an `*-Exercises.ipynb` / `*-WithExampleSolution.ipynb` / `*-Private.ipynb` split; the StepTracker pair has been consolidated, and `*-Private.ipynb` files remain gitignored.)

## Running

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