EE with Pure Math Minor - Which Math Sequence is best?

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SUMMARY

The discussion centers on the optimal math sequence for an Electrical Engineering (EE) undergraduate specializing in Signals and Systems while minoring in Pure Math. The consensus is that a sequence of three quarters in Probability, complemented by one quarter in Real Analysis, offers the most advantage for understanding statistical models in signal processing. Real Analysis is deemed essential for grasping axiomatic probability theory, while Abstract Algebra is considered less relevant for EE, except in specific applications like cryptography. Linear Algebra is also recommended as foundational for signal representation methods.

PREREQUISITES
  • Understanding of Electrical Engineering principles, particularly in Signals and Systems.
  • Familiarity with basic Probability concepts and statistical models.
  • Knowledge of Real Analysis fundamentals, especially regarding limits and continuity.
  • Basic Linear Algebra concepts, including vector spaces and matrix operations.
NEXT STEPS
  • Research advanced topics in Probability theory, focusing on stochastic processes.
  • Study Real Analysis, particularly the axiomatic foundations and convergence theorems.
  • Explore Linear Algebra applications in signal processing and vector space theory.
  • Investigate the role of Abstract Algebra in cryptography and its relevance to EE.
USEFUL FOR

Electrical Engineering students, particularly those specializing in Signals and Systems, as well as anyone interested in the mathematical foundations of probability and analysis in engineering contexts.

WolfOfTheSteps
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Hello everyone,

I'm an EE undergraduate and I'm specializing in Signals and Systems. I'm also minoring in pure math.

So, in the fall I have to begin a 3-quarter sequence in one of the following math subjects:

  • Abstract Algebra
  • Real Analysis
  • Probability


Each of these subjects is an in-depth 3-quarter sequence. What would give me the most advantage as an EE specializing in signals? I like pure math, and "romantically" I've been attracted to Real Analysis (I always wanted to prove everything I know about calc). But I'm quite interested in all 3 of these math fields. Which track would serve me best?

According to my schedule and minor requirements, here are my possibilities, I can only finish one sequence and start another. (which is not bad... I'd still learn a third)

  1. -- 3 quarters Real Analysis, 1 quarter Probability
  2. -- 3 quarters Real Analysis, 1 quarter Abstract Algebra
  3. -- 3 quarters Probability, 1 quarter Real Analysis
  4. -- 3 quarters Probability, 1 quarter Abstract Algebra

As you can see, due to schedule conflicts 3 quarters of Abstract Algebra is impossible. So it's sort of "Probability or Real Analysis." Somehow, I'm beginning to think Probability will suit me better as an EE. (I've taken the EE department probability course but it was pretty superficial and went too fast to truly understand the concepts.)

Much thanks for any advice!
 
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I think I would recommend option 3 (3 quarters of probability, 1 quarter of real analysis). The subject that will be of most relevance is probability, since most signal models are statistical models. Having at least 1 quarter of real analysis will be helpful to understanding axiomatic probability theory and the theory of random/stochastic processes.

I would also advise taking at least 1 quarter of linear algebra, because most signal representation methods have their mathematical foundations in the theory of vector spaces. I would hope that a course in linear algebra would be required for a pure math minor, but I know that a course in linear algebra is not an accreditation requirement for an undergraduate electrical engineering program, so I thought I would suggest it as well. Other aspects of abstract algebra (groups, rings, fields) are of less relevance to EE (with the notable exception of cryptography), and chances are that the first quarter of real analysis will cover some fundamental issues pertaining to fields (since the field properties of the real numbers and the rational numbers will be used constantly throughout the course).
 
I think the priorities would be 3-2-1.
Probabilities would be absolutely needed for a deep understanding of random signals, noise, and even general concepts like spectral density.
Real analysis is a basic requirement.
Abstract might be a bit too abstract.
 

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