Collisions and conservation laws

Go to class

Write Review

Collisions and conservation laws provided by OpenLearn is a comprehensive online course, which lasts for 5 hours worth of material. Upon completion of the course, you can receive an e-certificate from OpenLearn. The course is taught in Englishand is Free Certificate. Visit the course page at OpenLearn for detailed price information.

The Open University via OpenLearn

5 hours worth of material

Self Paced

This free course, Collisions and conservation laws, begins by explaining elastic and inelastic collisions and then goes on to show how collisions may be quantified using the conservation of linear ...

Syllabus

- Introduction
- Learning outcomes
- 1 Analysing collisions
- 1 Analysing collisions
- 2 Elastic and inelastic collisions
- 2 Elastic and inelastic collisions
- 3 Elastic collisions in one dimension
- 3 Elastic collisions in one dimension
- 3.1 Elastic collisions with a stationary target
- 3.2 Elastic collisions in general
- 3.3 Four special cases of general elastic collisions
- 4 Elastic collisions in two or three dimensions
- 4 Elastic collisions in two or three dimensions
- 5 Inelastic collisions
- 5 Inelastic collisions
- 6 Collisions all around us
- 6 Collisions all around us
- 6.1 Collisions in space
- 6.2 Collisions on the roads
- 6.3 Collisions on a small-scale
- 7 Relativistic collisions
- 7 Relativistic collisions
- 7.1 Relativistic momentum
- 7.2 Relativistic kinetic energy
- Conclusion
- Glossary
- Acknowledgements

0, based on 0 Course votes at GetYourEducation

Start your review of Collisions and conservation laws

Add review ->

Language

English
Certificate
Certificate Available
Date of Start
30th December, 2022
Level
Intermediate
Price
Free Certificate
Provider
OpenLearn
Share this course

Collisions and conservation laws

Accounting for Mergers and Acquisitions: Foundations

Advanced Topics in Derivative Pricing

Assisting Public Sector Decision Makers With Policy Analysis

Creating and Capturing Mixed Reality

Docker. Basics

Natural Language Processing and Capstone Assignment