More math for electrical engineering student

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Discussion Overview

The discussion revolves around the mathematical preparation needed for a master's program in electrical engineering, specifically in telecommunications and signal processing. Participants explore the relevance of various mathematical fields and concepts to the discipline, including calculus, linear algebra, complex analysis, and abstract mathematics.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant expresses a desire to enhance their mathematical skills while pursuing a master's in telecommunications, noting a solid foundation in calculus and linear algebra but questioning the balance between pure and applied mathematics.
  • Another participant suggests that complex analysis, numerical analysis, partial differential equations (PDEs), and wavelets are relevant to electrical engineering and could be beneficial for the original poster.
  • A different participant shares a personal journey from electrical engineering to mathematics, emphasizing the value of deeper understanding and exploration beyond practical applications, particularly regarding Euler's equation.
  • One participant, identifying as a mechanical engineer with a hobbyist interest in electronics, mentions the importance of second-order differential equations and transfer functions in telecommunications, implying that calculus should be well understood at this stage.

Areas of Agreement / Disagreement

Participants express varying opinions on the importance of pure mathematics versus applied mathematics in the context of electrical engineering. While some advocate for exploring abstract math to enhance understanding, others emphasize the necessity of focusing on applied mathematical concepts relevant to telecommunications and signal processing. No consensus is reached regarding the best approach to mathematical study in this context.

Contextual Notes

Participants highlight the potential challenges of balancing pure and applied mathematics within the constraints of an engineering curriculum. There is an acknowledgment of the varying relevance of different mathematical topics to specific areas within electrical engineering.

Who May Find This Useful

Students in electrical engineering or related fields, particularly those interested in telecommunications and signal processing, as well as individuals considering the integration of pure mathematics into their engineering studies.

serhannn
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Hi,

I have finished my bachelors in electrical engineering and now I will continue with masters in the same area, specifically in telecommunications/signal processing branch. I would not consider my mathematical background too weak, I have good knowledge of calculus and linear algebra. In the last semester of my bachelors, I took an abstract math class, number theory, and I quite liked it though it felt much harder for me in comparison to other classes like calculus, linear algebra and discrete math.

So, what would be the way to go now? I know that for telecommunications, I would probably need more numerical linear algebra, also maybe it would be a good idea to develop my calculus skills. I have also interest in it more abstract math, as I said, but I think for now, trying to properly learn analysis or abstract algebra would divert me from my actual focus, which is of course electrical engineering, in which pure math has barely any place. On the other hand, the process of learning abstract math would enhance my way of thinking and advance my toolbox in some other way. Do you think I could learn at least some basic pure math stuff in the time remaining from my engineering studies? Could anyone provide some motivation for that? :smile:

Thanks a lot.
 
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Complex analysis can get very abstract but is also applicable to EE. Also, Numerical analysis, PDE's, and wavelets can all be applied to EE. Many of my EE friends took classes like these during their studies.
 
One of the things that lead me from EE to math was that I was unsatisfied with the usual explanations of Euler's equation e^ix = cos x + i sin x. When I read Visual Complex Analysis, it answered this question more than one time, on a deeper level each time. Sometimes, it's nice to not just know what you need to know and get by, but to know the extra stuff that actually makes it interesting.
 
I'm an ME who's always played with electronics as a hobby, so perhaps I don't know what I'm talking about.

I would think telecommunications/signal processing would involve a lot of 2nd order diffs, transfer functions and s-domain stuff. Calculus at this point, should be second nature.
 

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