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| author | Christian Kolset <christian.kolset@gmail.com> | 2025-11-02 23:45:43 -0700 |
|---|---|---|
| committer | Christian Kolset <christian.kolset@gmail.com> | 2025-11-02 23:45:43 -0700 |
| commit | 6cb8bb23a2fed096872b4532c60a591a83d7ca90 (patch) | |
| tree | 2ab5cbd6582041361a9d6200b49911e11312cf34 /tutorials/module_4/4.0 Outline.md | |
| parent | ef1d5ab76a8ebfea3038b15e90cc61ac14f4fbed (diff) | |
Finished first 6 lecture/tutorials
Diffstat (limited to 'tutorials/module_4/4.0 Outline.md')
| -rw-r--r-- | tutorials/module_4/4.0 Outline.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/tutorials/module_4/4.0 Outline.md b/tutorials/module_4/4.0 Outline.md index 8156651..0c19b12 100644 --- a/tutorials/module_4/4.0 Outline.md +++ b/tutorials/module_4/4.0 Outline.md @@ -43,7 +43,7 @@ g. Extrapolation and limitations h. Moving averages i. Problem 1: Fit a linear and polynomial model to stress-strain data. Compute R^2 and discuss which model fits better. - j. Problem 2: Apply a moving average to noisy temperature data and ocmpare ra vs. smoothed signals. + j. Problem 2: Apply a moving average to noisy temperature data and compare raw vs. smoothed signals. 6. Data Filtering and Signal Processing a. What is it and why it matters - noise vs. signal |