What CompE/statistics skills should EE undergrads have?

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Discussion Overview

The discussion revolves around the skills in computer science and statistics that electrical engineering (EE) undergraduates should consider acquiring beyond their core curriculum. Participants explore the relevance of these skills in various fields such as astronautics, semiconductors, and robotics.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • One participant inquires about useful CSE/statistics skills for EE graduates, mentioning completed courses in programming and a required probabilistic analysis class.
  • Another participant suggests that statistics would be beneficial for semiconductors and recommends courses related to computer architecture, FPGAs, or machine learning for robotics.
  • A later reply emphasizes the necessity of statistics for signal processing and notes its importance in quantum mechanics, particularly for solid-state physics and related fields.
  • Participants discuss that some statistics skills may already be covered in required courses, indicating that additional statistics courses could still be valuable depending on specific interests.

Areas of Agreement / Disagreement

Participants express varying opinions on the necessity of additional statistics courses, with some suggesting they are essential for certain fields while others believe the core curriculum suffices. The discussion remains unresolved regarding the extent of additional skills needed.

Contextual Notes

The discussion highlights the broad range of interests among participants and the potential overlap of skills required across different fields, but does not resolve the specific skills that would be most beneficial.

Who May Find This Useful

Electrical engineering undergraduates considering electives in computer science and statistics, particularly those interested in fields like astronautics, semiconductors, and robotics.

24karatbear
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Hello,

I apologize for the ambiguous thread title. I am in the process of choosing electives and was wondering what sort of CSE/statistics skills (outside of what is required in a typical EE program) would prove useful to me after I graduate. Aside from core requirements, I have completed introductory programming courses (C++, MATLAB). Some topics I've been looking into:

- Computer Science and Engineering: Data structures and algorithms

- Statistics: My school requires all EE's to take a probabilistic analysis class with the following description: "Probabilistic and statistical analysis of electrical and computer systems. Discrete and continuous random variables, expectation and moments. Transformation of random variables. Joint and conditional densities. Limit theorems and statistics. Noise models, system reliability and testing." Would taking additional statistics courses be useful?If it helps, some of my interests lie in astronautics, semiconductors, and robotics.

Does anyone have any suggestions?
 
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24karatbear said:
If it helps, some of my interests lie in astronautics, semiconductors, and robotics.

that is a very broad range of topics...
statistics would be useful for semiconductors

anything with computer architecture, fpgas, or machine learning would be good for robotics
 
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donpacino said:
that is a very broad range of topics...
statistics would be useful for semiconductors

anything with computer architecture, fpgas, or machine learning would be good for robotics

Hey, thank you!

Yeah, I haven't really narrowed down my interests yet, so everything is still a bit broad as I try to discover what I really want to do after I graduate. Your suggestions help a lot, though.
 
If you're interested in signal processing, you absolutely will need statistics. Semiconductors and anything solid-state physics related will involve quantum mechanics, and statistics in QM, depending on the course, can be anywhere from useful to downright necessary. Also necessary if you might want to take any chemistry or thermodynamics-related options (if they're offered).

My experience, though, has been that the statistics skills are covered in the relevant courses as necessary.
 
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jack476 said:
If you're interested in signal processing, you absolutely will need statistics. Semiconductors and anything solid-state physics related will involve quantum mechanics, and statistics in QM, depending on the course, can be anywhere from useful to downright necessary. Also necessary if you might want to take any chemistry or thermodynamics-related options (if they're offered).

My experience, though, has been that the statistics skills are covered in the relevant courses as necessary.

Thank you so much for responding!

I just did a quick search on my school's course catalog I found that some of the statistics skills are actually covered in our required courses like you said. I do have space to take electives outside of my department so I think I will look into some QM physics classes too. I'll keep that information in mind about signal processing. Appreciate your help!
 

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