English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Fundamental concepts related to data sampling and uncertainty analysis can be introduced through standard textbook problems, but it is much easier to stimulate student interest if the analysis involves real data. However, illustration of basic concepts can be compromised if the data exhibit anomalies due to errors in technique or equipment problems. The use of computergenerated values for analysis offers a balanced approach that produces predictable values but maintains a level of interaction between the student and the “experiment”. Three experiments using computer-generated data are described, and sample results are presented. The software used is Microsoft Excel (with procedures written in Visual Basic for Applications). This approach has been effective in a junior-level measurements laboratory for mechanical engineering students, and can also be adapted for distance learning applications.

Use Of Computer Simulation To Enhance Learning In A Mechanical Engineering Measurements Laboratory