Math for engineers

<p>For all engineering undergrads, up to what math did you take? My school generally makes us take basic calculus(diff, int, series), linear algebra, multivariable/vector calculus, ordinary and partial differential equations and for non-computer electrical engineers also basic discrete mathematics as an option. Computer engineers typically forgo differential equations and take some kind of computer/discrete mathematics. I was wondering if all engineering schools have typically the same set of math courses.</p>

<p>Students in the engineering physics program has to take more advanced math like analysis, probability and advanced algebra.</p>

<p>And typically for engineering graduate students, do they further their math education or is everything focused on furthering area-specific technical knowledge?</p>

<p>They let computer engineers skip Differential Equations!? That is ridiculous.</p>

<p>Most schools have something along the lines of Calc I (differential), Calc II (Integral and series), Calc III (Multivariable), Differential Equations, Linear Algebra, Probability and statistics. They then add on different classes that may be required for a specific major (computer science often doesn’t do DiffEq and instead takes various discrete math courses).</p>

<p>Grad school varies wildly from school to school and program to program and advisor to advisor. I know that I will probably take 1 math class in grad school, PDE’s.</p>

<p>I think all schools are pretty much the same as far as math goes. They probably differ by a course or so. I have to take 3 calc courses, differential equations, linear algebra, and a mathematics for engineers course (haven’t taken that yet so I don’t know what’s in it).</p>

<p>at purdue for aero i have to take Calc I (differential), Calc II (integral and series), Calc III (Multivariate), Linear Algebra, Differential Equations, and Differential Equations and Analysis of Non-Linear Systems</p>

<p>Analysis of nonlinear systems, eh? Sounds like you get to do basic perturbation methods, like the Poincar</p>

<p>Kinubinu,</p>

<p>Although I was a math major (undergrad), I crafted my major to more of a computer science/applied math/engineering slant.</p>

<p>After the usual Calculus I, II, III, Diff Eq and Linear Algebra set, the rest of my program was like the following:</p>

<p>1 year of Discrete Math which was broken into separate courses in Combinatorics and Graph Theory</p>

<p>1 year of Numerical Analysis…Numerical Analysis and Numerical Linear Algebra</p>

<p>and two additional O.R.-type courses: Mathematical Programming (should have been called Optimization) and Operations Research.</p>

<p>In grad school for systems engineering, I took Linear Algebra again (grad version) and three statistics courses: Experimental Design, Statistical Quality Control and Stochastic Processes.</p>