How Can I Create Visual Aids and Numeric Examples for Advanced Physics Courses?

In summary, the speaker is a physics undergraduate who has been tasked with creating visual aids and numerical examples for their instructor's classes. They will use programming languages like Java, Fortran, and C to create these aids. The instructor suggests using Mathematica for simulations and recommends focusing on illustration, figurative, and analytical visual aids.
  • #1
D4QP
1
0
Hey,
I am a physics undergrad, and I have been recently given a task to help my physics instructor with providing visual aids and numeric examples for his class. Meaning for a given number of problems in the textbook I will take the analytic solutions and make a numerical example(s) out of it using some programming language. Then on some problems I am to include some visual aids like drawings of the problem or simple animations. The classes my instructor will be teaching are upper level undergraduate courses (E &M, Quantum, Thermal, ... ). I know some basic programming languages like Java, Fortran, and some C. Any ideas where I should start?
 
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  • #2
In that case I would recommend the Mathematica, it has full coverage of simulation such kind of visual aid...Good luck..
 
  • #3
Well, you should start on illustration, figurative and analytical visual aids. . .
Good luck. . . And keep striving. . .
 

Related to How Can I Create Visual Aids and Numeric Examples for Advanced Physics Courses?

1. What is computational and numerical science?

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There are many applications of computational and numerical science, including weather forecasting, financial modeling, drug design, and climate change research. It is also used in fields such as physics, chemistry, biology, and engineering to simulate and study complex systems.

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Traditional scientific methods rely on physical experiments and observations, while computational and numerical science uses computer simulations and mathematical models to study and understand complex systems. It allows scientists to analyze large amounts of data and make predictions that may not be possible through traditional methods.

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