I would prefer linear Algebra, then differential equations, then statistics, but that's just based off my own difficulties lol

This is how my university recommends we do it

I would prefer linear algebra, statistics and then differential equations. But, it depends on what you are going to learn in statistics usually is inferential and discrete statistics, those aren't too complex(in engineering of course), we don't get too deep on that subject. They are 3 different subjects, non of them has nothing to do with the others if that's what you are worried about. Good luck bro.

Differential Equations has a lot to do with linear algebra. But other than that I agree.

Perhaps because I never learned it that way. But I have heard some schools mix those 2 for ME or Industrial.

Ah cool yeah makes sense, in case anyones curious it’s applicable to second order and systems of differential equations when you need to solve for eigenvalues and vectors to find solutions. As well as tricks like Cramers rule in variation of parameters when solving higher order equations which some schools may not teach.

Yeah I was recommended statistics but linear algebra works better with my schedule I think I'll start there! Thank you!

Linear algebra first, definitely. Then the other 2 in any order.

I’d say Lin Algebra first. You kind of need it to solve some differential equations; but in general they’re pretty disconnected.

Full disagree that linear algebra and diffeqs are disconnected. If you learn them properly (gil strang book on differential equations and linear algebra comes to mind) you realize that much of differential equations is solving linear algebra problems for the continuous case. (At least for linear DEs.) Basically any time you have a linear operator (like d/dx, or more generally the left hand side of a linear DE) on a vector, you can find eigenvalues and express your right hand side in terms of the eigenvectors of the operator. This allows you to generalize ODEs on a single variable to PDEs, as well as to linear dynamic systems with generalized coordinates. Applying linear algebra to multivariable DEs is the basis of control theory. Apologies for the jargon-dense comment, but this stuff is all very exciting and why I wish my university had a stronger linear algebra course so I wouldn't have had to learn all this on my own.

Don’t think it matters. I took linear algebra and differential equation classes simultaneously in one semester and the concepts covered are like A and B.

take linear algebra, then stats, then DE, or you could take both linear algebra and stats at once, or stats and DE, at once, the trickiest part of stats is probability, and linear algebra might be tricky too if your prof likes proofs and stuff, I recommend the lectures of Gilbert strang on Linear algebra.

Diff EQ was super easy but linear algebra can suck a fat one as far as I’m concerned. No comments on statistics yet, asking me spring of 24. Order does not matter unless they are pre-reqs for other courses

I would take linear algebra after you take diffeq. Statistics is it’s own thing and doesn’t relate to either of the other two, at least in the context that you’d learn it in school

Yeah statistics for engineers at my school is taught as purely a requirement for accreditation, the entire class was online, zero lectures, just textbook and short YouTube videos from the professor who set up the course 10 years ago. From what I understand this is how it is at most schools. Just a lot of effort for very little actual transfer of knowledge

The one that I had to take for my major was very similar to a 400-level statistics class. We covered regression, anova, control charts, design of experiments, and a few other topics. It wasn't an easy class but the professor I had was clutch. I'm IE though so we have other classes that build on it

Linear before diff eqs is very helpful, failed diff eqs because he never went over linear stuff because we « should’ve had it already. »

Following

Doesn’t matter.. linear algebra was kinda fun

I came into undergrad with calc1 and 2. I took difeq my first semester and it was good I got it over with early when I had time to give it the time I needed. It was difficult but if I took it later I would have had less time to practice it.

Linear Algebra isn't that bad, it doesn't involve any calculus that I can remember, you just are learning how to manipulate matrices. Statistics I never took, but I've done some statistics in other classes and it hasn't been very hard. Differential Equations is easier than all of calculus. Got an A- in that class after getting an A- in calc 1, B+ in calc 2, and a B in calc 3 If I had to choose an order of difficulty, I'd say with 1 being the easiest: 1. Differential Equations 2. Linear Algebra 3. Statistics Only reason statistic is 3 is because I never took the class in college.

Probably doesn’t matter the order. I did diffeq->statistics->linear algebra since that order worked best schedule wise.

My school allows engineering students to take Linear Algebra and Differential Equations as one combined course followed by a data analysis course that covers probability and statistics. Majors that are more directly math oriented (math, applied math, math and physics, applied physics, etc) have to take linear algebra and differential equations as separate courses. If your school offers a combined course, that would probably be best, but if not, the standard order seems to be linear algebra, then differential equations, then statistics.