Besides the mathematics, how hard is an engineering degree?

Click For Summary

Discussion Overview

The discussion centers on the perceived difficulty of obtaining an engineering degree, particularly in Electrical Engineering (EE) and Mechanical Engineering (ME), beyond the mathematical components. Participants share insights based on personal experiences and observations regarding the challenges faced in engineering programs.

Discussion Character

  • Exploratory
  • Debate/contested
  • Conceptual clarification

Main Points Raised

  • One participant expresses uncertainty about succeeding in engineering and seeks insights on the difficulty of the degree beyond mathematics.
  • Another participant suggests that while engineering is hard, it is manageable, and questions the importance of GPA in securing employment.
  • A participant notes that the lack of sufficient mathematics instruction before starting engineering courses can be challenging, but asserts that tests often focus on concepts that can be understood without deep mathematical knowledge.
  • One contributor highlights the challenge of managing multiple difficult classes simultaneously, indicating that engineering programs typically have a heavy course load with limited elective options.
  • A participant mentions that EE students often encounter advanced mathematical topics beyond differential equations, such as complex analysis and partial differential equations.

Areas of Agreement / Disagreement

Participants express varying views on the difficulty of engineering degrees, with some emphasizing the manageability of the workload while others highlight the challenges of advanced mathematics and heavy course loads. No consensus is reached regarding the overall difficulty or the importance of GPA.

Contextual Notes

Participants reference specific mathematical concepts and their relevance to engineering coursework, indicating that the understanding of mathematics may evolve over time. There are mentions of varying experiences with course difficulty and the implications for GPA, but these are not universally applicable.

Who May Find This Useful

Prospective engineering students, current students considering a switch in majors, and individuals interested in the academic challenges of engineering degrees may find this discussion relevant.

aagnone3
Messages
5
Reaction score
0
I have read countless articles, threads, discussions, you name it, about engineering, because I have always been back on forth on whether I will succeed at it or not. I have been going to a state university for two years, and am starting at the technical institute this summer. Deciding between EE and ME. Please stick to either 1) answering the following question or 2) providing an insight on the choice between EE and ME that people don't say in every other thread. That being said, my question:

How hard is an engineering degree, whether EE, ME, or others in general, once you get past the mathematical aspect?
I have already taken through Differential Equations, with all A's. So, as far as I am aware, it is all applications of those principles now.

If it will help, I have been attending GSU and am going to Georgia Tech
 
Physics news on Phys.org
It is hard, but manageable. Think of the sheer number of students who get engineering degrees every year.

A better question is, how hard is it to get a GPA of, say, 3.5 in your engineering degree?

One could technically get a C in every class, graduate, then still find an engineering job with an employer that doesn't care about GPA.

However, if getting a high GPA is very important to you, then an engineering degree may be very hard indeed.
 
The hardest part about engineering is that they don't teach you enough mathematics before you start. But all the professors know it, and you aren't exactly being tested on the raw math anyway. So it doesn't turn out to be that bad. A personal example (EE over here) was when I took pattern recognition. There were many mathematical concepts from linear algebra presented in the book that till this moment I don't understand. But of course the test was primarily things I and my fellow engineers could understand. I remember pragmatically skipping entire sections of the book: "This will not be on the test." (and "I couldn't understand this even if I wanted to at this moment. I really need to take a linear algebra class first").

On a side note, as you become a more influential engineer, you will begin to take courses from the math department as well as study on your own. Eventually, it will all make sense if you want it to make sense.

As for EE, there are 3 primary mathematical fields that I have experienced in my coursework:
Linear algebra -- It is used a lot in representing and maneuvering data through algorithms. So it is often seen in signals & systems(e.g. an image can be a matrix of data applied to a system), controls (your state space are matrices, inputs, outputs, etc.), pattern recognition (your features to classify/training samples/ etc. are all matrices), machine learning, etc.

Probability/stochastic processes -- This is used of course a lot in machine learning/ pattern recognition/communication/signals&systems (when applied to random signals) etc.

differential equations -- LTI LTI LTI, everything in controls/signals/systems is a linear, time-invariant system so far. These are all nth order differential equations analyzed via numerous transforms and techniques.
 
Last edited:
I find the difficulty with engineering isn't really one class but that you are taking 5 difficult classes at the same time. Most schools that I have looked into don't require very many fluff classes. So you are going to be taking 5 engineering/science/math classes at the same time.
 
In my experience, those EE kids know a lot of math. Complex analysis, Fourier stuff, PDE's, Linear algebra, and even some set theory. I wouldn't bet on your math knowledge stopping at differential equations.
 

Similar threads

  • · Replies 18 ·
Replies
18
Views
2K
Replies
17
Views
3K
Replies
6
Views
3K
  • · Replies 12 ·
Replies
12
Views
5K
  • · Replies 3 ·
Replies
3
Views
1K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 19 ·
Replies
19
Views
1K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 13 ·
Replies
13
Views
2K