Design and Explain Numerical Experiments
What you will build
Evaluate a model with arrays, symbolic reasoning, plotting, and a SciPy root finder.
Follow the units in order and complete each unit challenge. Keep examples and debugging notes that help explain your choices. This overview is orientation, not a scored activity.
Unit sequence
- Scientific Python — 5 lessons and a unit challenge.
Prepare and pace your work
Review the prerequisites in the course overview before beginning this first milestone. Use each unit’s active-time estimate and pause at lesson boundaries. Plan another 2–4 hours for the milestone challenge, including rerunning checks and explaining your result.
Use Colab for notebook exercises and the workspace introduced in the units for local environment, packaging, and command-line tasks.
Connect the units
Finish with Test a Cooling Model against Measurements. Combine the milestone skills and check a changed condition. The challenge provides a contract, expected results, a hint, and self-review guidance.
Community learning is ungraded. Completion controls record your own progress only in this browser on this device; they do not issue a verified credential.