Other Mechanical Engineering, real-world adv. math applications?

AI Thread Summary
Mechanical Engineering students often question the practical applications of advanced mathematics in their future careers. While linear algebra and differential equations are important, much of the advanced calculus learned may not be directly applied in the workplace. Graduates report that they primarily use fundamental concepts rather than complex calculations, suggesting that the focus is more on developing abstract thinking skills. Exposure to higher-level math is essential for fostering problem-solving abilities, even if specific techniques are not frequently used. Overall, the consensus is that while advanced math may seem daunting, it contributes significantly to an engineer's analytical mindset.
Timb0Slice
Messages
9
Reaction score
0
Currently pursuing a degree in Mechanical Engineering, and commonly ponder about how much of this semi-abstract math I will actually be using the workplace. I have heard real-world ME relies pretty heavily on linear algebra and differential equations.

As far as advanced Calculus goes I understand the fundamentals are important but I can't imagine having to use some of these techniques to find volumes of abstract 3D objects. I would assume in much 3D modeling, the program takes care of the bulk of things (unfortunate for the program designers). I can see simple deriving and integrating could become useful in physics applications.

I'm just talking strictly math here. Obviously strength of materials, vibrations, and fluids are all very practical and all incorporate math specifically. My question is focused on any math outside of remembering equations and plugging and chugging.

Obviously it will differ from specific careers, but just curious if any current ME's could shed some light on how much and how dense the advanced math use is in the workplace today. Much appreciated.
 
Physics news on Phys.org
The worst thing you can think about whilst doing your degree is "Am i ever even going to use this".. I hear it all the time, and has become a bit of pet hate.

Remember that sometimes you aren't taught certain things simply because of how important they are in the workforce. Rather you are taught things which all accumulate towards you being able to think in a certain way.

Consider the case of a high school student who is looking to pursue Journalism as a career, and all the abstract math they learn during school is considered a 'waste'. While it's true that this student may not directly apply the technical math discovered in high school, the student will have gained the ability to think logically, and rationally.

Timb0Slice said:
My question is focused on any math outside of remembering equations and plugging and chugging.

If you think math is anything to do with remembering equations and plugging and chugging, then you're thinking about it in the wrong way.
 
Last edited:
  • Like
Likes billy_joule
I fully agree with Joppy's response. A long long time ago when I was
in grad school, I took a course in Elasticity theory where the prof would fill up blackboards on three sides of the room (using chalk, not computers) with messy partial differential equations to solve the problem. I remember thinking that if I had to do this heavy math repeatedly in my career, then I wanted out. Well, in my engineering jobs over the decades, I've never had to use a partial differential equation, but that in no way means that the course was a waste of my time and energy. Knowledge and exposure to some higher levels of math is essential in engineering, even though you may never use it directly. Joppy explained it well.
And if you think engineering may just be 'plug and chug', think again. It's nothing like that.
 
I completely agree with both of you. I should have elaborated more when I said "I understand the fundamentals are important". I had in a way meant "learning to think abstractly". That's one of the things that draws me to engineering so strongly is the almost "different level of consciousness" that engineers are in.

My question was more focus on what PhanthomJay had said about wanting out, if the rest of my life would be obnoxiously long equations calculations. But I absolutely appreciate both of your inputs. I suppose these classes also do a good job weeding out those students who are not motivated enough to make an impact in the workplace either.
 
I don't think you've got anything to worry about : ).

I am a student still and don't have any industry experience. But from speaking to friends who have graduated and are now working as engineers, i am always told that they are usually just applying the fundamentals, and in some cases, it's 'easier' than university.
 
TL;DR Summary: What topics to cover to safely say I know arithmetic ? I am learning arithmetic from Indian NCERT textbook. Currently I have finished addition ,substraction of 2 digit numbers and divisions, multiplication of 1 digit numbers. I am moving pretty slowly. Can someone tell me what topics to cover first to build a framework and then go on in detail. I want to learn fast. It has taken me a year now learning arithmetic. I want to speed up. Thanks for the help in advance. (I also...
Hi community My aim is to get into research about atoms, specifically, I want to do experimental research that explores questions like: 1. Why do Gallium/Mercury have low melting points 2. Why are there so many exceptions and inconsistencies when it comes to explaining molecular structures / reaction mechanisms in inorganic and organic chemistry 3. Experimental research about fundamental Quantum Mechanics, such as the one being followed by Hiroshima university that proved that observing...
guys i am currently studying in computer science engineering [1st yr]. i was intrested in physics when i was in high school. due to some circumstances i chose computer science engineering degree. so i want to incoporate computer science engineering with physics and i came across computational physics. i am intrested studying it but i dont know where to start. can you guys reccomend me some yt channels or some free courses or some other way to learn the computational physics.
Back
Top