Thank you so much, it was interesting experiment. Actually, we have not such facility here, how could I have the experiments data for this test? I want to give the students and ask them to obtain the desired parameters using the data measured. Regards
Great video, but, as a pedagogical matter, I think you dismissed the most interesting part of the story as if it were an unimportant detail. I wish you had shown how at least one of the "sensitivity coefficients" are found from the data reduction equations using calculus. This skill-calculus as a tool for error propagation-isn't typically taught in introductory statistics or calculus, but it's such a useful thing for engineers and scientists to know. Sometimes it isn't even taught in multivariable calculus courses, maybe because math departments are less interested in teaching science and engineering applications.
Thanks for your thoughts! I agree that error propagation is an interesting -- and often undervalued -- component of the experimental process. Here, we omitted a detailed discussion of it because the course for which this video was made has a separate module dedicated to uncertainty quantification.
What actually we determine here, Sir? Kinematic viscosity or dynamic viscosity? As i know, this Stoke method aims to determine dynamic viscosity. Meanwhile, Poise method (by using such as u-tube viscometer) aims to determine kinematic viscosity
Just one word......
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Amazing ❤️
Nice coincidence of finding this video as I'm planning to join IOWA University soon for post graduation 😆
Great Experiment
Thank you so much, it was interesting experiment. Actually, we have not such facility here, how could I have the experiments data for this test? I want to give the students and ask them to obtain the desired parameters using the data measured. Regards
Is this spaninglish experiment Is it ?
Great video, but, as a pedagogical matter, I think you dismissed the most interesting part of the story as if it were an unimportant detail. I wish you had shown how at least one of the "sensitivity coefficients" are found from the data reduction equations using calculus. This skill-calculus as a tool for error propagation-isn't typically taught in introductory statistics or calculus, but it's such a useful thing for engineers and scientists to know. Sometimes it isn't even taught in multivariable calculus courses, maybe because math departments are less interested in teaching science and engineering applications.
Thanks for your thoughts! I agree that error propagation is an interesting -- and often undervalued -- component of the experimental process. Here, we omitted a detailed discussion of it because the course for which this video was made has a separate module dedicated to uncertainty quantification.
What actually we determine here, Sir? Kinematic viscosity or dynamic viscosity? As i know, this Stoke method aims to determine dynamic viscosity. Meanwhile, Poise method (by using such as u-tube viscometer) aims to determine kinematic viscosity
It's dynamic viscosity. If you want to know kinematic viscosity only have to divide by density