Computational methods and computational modelling in physics

In summary: However, you are more interested in pure maths and have already looked into the papers for those modules, which will cover topics such as Numbers, Sets and Sequences, Linear Algebra and Analysis. You are excited to delve into these subjects, and although you are curious about the computational modules, you are confident in your decision to focus on pure maths. You are eager to begin your degree course and are looking forward to learning more about your chosen modules. In summary, starting next month, you will be enrolled in a degree course in applied maths and physics. You will have the option to choose between two sets of two modules, one covering pure maths and the other covering computational methods and modelling in physics. While you are curious about the computational modules, you are
  • #1
andyroo93
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I'll be starting a degree course in applied maths and physics next month (though I might change to the theoretical physics pathway next year). I was reading about my course online, and apparently I'll have to choose between two sets of two modules (on top of the 4 compulsory modules). One set is pure maths (Numbers, Sets and Sequences; and Linear Algebra and Analysis), and the other is Computational Methods in Physics and Computational Modelling in Physics. I'm not really too sure what the latter two modules would involve. I'm sure all will be explained in the next few weeks, before the course starts, but I'm just curious.

I'm 99% sure I'll do the pure maths modules. I've had a look at the papers online (I have access to the university's online system thingy since I'm already a student at that university - I was doing electrical and electronic engineering last year, but I decided to completely change course. When I was at school, I just decided that it would be smart to get into renewable energy and that kind of stuff, but I love maths and physics so I should have applied for this course in the first place.) and it looks interesting, since it's proper pure maths, which I hadn't encountered at school or in engineering. The computational methods/modelling modules don't have past papers online - I assume that's because they're more skills-based - so I can't get a taste of what they involve.

Please fanku, fanku please.
 
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  • #2
:)The Computational Methods in Physics module will likely involve learning how to program and use computers to solve physics problems, while the Computational Modelling in Physics module will involve creating (computational) models of physical systems. These two modules will teach you how to use computation techniques to build physical systems, analyze data, and come up with mathematical models to describe physical phenomena. This could be useful for research or industry applications, especially if you decide to pursue a career in theoretical physics.
 

1. What is computational modeling in physics?

Computational modeling in physics is the use of computer algorithms and simulations to study and predict the behavior of physical systems. It involves creating a virtual representation of a physical system and using mathematical equations to simulate its behavior.

2. How are computational methods used in physics?

Computational methods are used in physics to solve complex mathematical equations and simulate the behavior of physical systems. This allows scientists to study systems that are too large, too small, or too complex to study experimentally. Additionally, computational methods can provide more precise and accurate results compared to traditional analytical methods.

3. What are the advantages of using computational methods in physics?

There are several advantages to using computational methods in physics. These include the ability to study complex systems, the ability to simulate and predict the behavior of physical systems, the ability to handle large amounts of data, and the potential for cost and time savings compared to traditional experimental methods.

4. What are some common computational methods used in physics?

Some common computational methods used in physics include numerical integration, Monte Carlo simulations, finite element methods, and molecular dynamics simulations. These methods can be applied to a wide range of problems in physics, including fluid dynamics, quantum mechanics, and solid state physics.

5. What are the limitations of computational modeling in physics?

While computational modeling has many advantages, it also has limitations. These include the need for accurate and precise input data, the potential for errors in the coding or modeling process, and the inability to account for all factors in a complex system. Additionally, computational models may not always accurately reflect real-world observations and may require validation through experimental data.

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