Thermo & Stat Mech > Kinetic and Diffusive Processes > Brownian Motion, Diffusion, Kinetic Theory, Mean Collision Time, Mean Free Path, Viscosity
Highlights:
a module introducing random walks following 1D kinematics as the mechanism of gradient-driven flow
Abstract:
This module introduces the random walk immediately after 1D kinematics, so as to emphasize the importance of random motion in the life sciences and lay a foundation for students to think statistically as well as deterministically. It connects the random walk of individual molecules as the mechanism for gradient-driven flow. The module culminates in a two-week (6-hour) laboratory in which students actually observe random motion on the microscopic scale through video microscopy and digital image analysis.
Resource Types:
Lab, Homework, Instructor supplement, Restricted access, In-class activity, Clicker question, Lecture materials
Authors:
TOPICS
Physics Topics:
Life Sciences Topics:
Cross-cutting Biological Concepts > Causal Mechanisms > Physical Mechanisms
Cross-cutting Biological Concepts > Matter/energy Transfer & Transforms > Cross-membrane Transport, Material Flow
Chemistry Topics:
Gases > Ideal Gas Law
Math Topics:
Probability; Statistics
INSTRUCTOR GUIDE
IMPLEMENTATION
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Specific equipment needed:
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PEDAGOGY
Pedagogical approach:
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SUBMISSION DETAILS
Copyright: 2019 Catherine Crouch, Ben Geller
CC: BY-NC-SA - Attribution, No Commercial uses and Share Alike. Derivative works must have the same licenseLast Edit Date:
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