Write testable requirements
Replace vague goals such as lightweight or accurate with a measurable quantity, conditions and an acceptance criterion. Preserve provenance for models, data and code. Review scope and safety before practical work.
Opening Lilerno
Chapter 24 · Guided self-study
Intro + external course studyPresent a tested design and discuss where your conclusions stop applying.
Build the idea
An original introduction, worked example and practice, followed by a curated reading sequence. The external courses supply deeper teaching and problem sets.
This guide is an orientation, not a complete university module. Practical work needs suitable facilities, safety review and supervision.
Start with these prerequisites
Shared science foundations
A capstone connects requirements, research, design, prediction and evidence. Its value is in a defensible chain of reasoning, not a complicated prototype.
Module lens
Requirements, predictions, observations and reflection belong in one traceable chain.
Replace vague goals such as lightweight or accurate with a measurable quantity, conditions and an acceptance criterion. Preserve provenance for models, data and code. Review scope and safety before practical work.
Choose what will be measured, how it will be calibrated and how uncertainty affects acceptance. Record failed trials and changes. A design report should distinguish prediction, observation and interpretation.
See the relationship
Change one quantity, watch the graph respond, then explain the result in your own words.
Predict → change → explain
Does a small percentage discrepancy establish acceptance?
Axes: Displacement (mm) → Comparison row. Bounds may rescale when inputs change.
Relative discrepancy = 10%. Acceptance still needs a criterion and uncertainty analysis.
Synthetic observation compared with a positive prediction. The ± bound is supplied, not estimated. Discrepancy and measurement uncertainty are distinct.
Original Lilerno illustration. Inputs are illustrative; this is not experimental evidence or a design rating.
| Series | Displacement (mm) | Comparison row |
|---|---|---|
| Prediction | 10 | 2 |
| Observed interval | 10.8 | 1 |
| Observed interval | 11.2 | 1 |
| Observed value | 11 | 1 |
Save your place when you finish reading.
Original Lilerno example
An illustrative prediction is 10 mm and an observed value is 11 mm. Calculate relative discrepancy using the prediction as reference.
Absolute discrepancy = |11 − 10| = 1 mm.
Divide by the explicitly chosen reference 10 mm.
Multiply by 100: 10%.
Test the model
Open learning, traceable sources
Work in this order. These links open the publisher’s material; free access does not always permit republication.
MIT OpenCourseWare
Start with: Yo-Yo Project documentation
Study how a project connects design choices to manufacturing evidence; do not copy its deliverables.
MIT OpenCourseWare · Spring 2009
Start with: Design project
Compare requirement, concept and prototype stages with your proposed scope.
Recall, then record
Close the explanation and answer these in your own words. Return tomorrow, then again later in the week.
What would count as failure?
How will another person reproduce the result?
Which conclusions extend beyond the evidence?
Write a capstone proposal: requirements, alternatives, cited resources, calculations, safe test plan, acceptance criteria and a report outline. Practical execution remains separate supervised work.
Self-reported tasks, not an assessment of mastery or university credit. Reading a page does not complete a chapter.
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Open learning, traceable sources
Original Lilerno lessons and diagrams, supported by these references. Free access does not always permit republication. Links open the publisher’s material.
Process physics, manufacturing systems, quality, homework and a documented yo-yo design project.
CC BY-NC-SA 4.0 except separately credited material. Linked for external study, not reproduced. Some assigned textbooks/software require separate access.
Open source ↗Rights / publisher record ↗Mechanical design, mechanisms, and project thinking.
CC BY-NC-SA, except marked exceptions; external study only.
Open source ↗Rights / publisher record ↗