I need some help regarding self study in the summer and future courses. My next course in mathematics since i will be transferring to university will be this engineering math course in pic related. The two texts in pic related are what i have downloaded to start in my self study. Are these two textbooks good enough cover me for this future course?
After the previous course I will have to take link related uh.edu
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Finally I will have to take a 4000 level course in math to graduate, I am planning on taking this uh.edu
I mean the content in those is so trivial that you don't really need to think about it so the book shouldn't matter.
ok, thank you
Don't be a brainlet and take MATH 3331 - Ordinary Differential Equations.
>Taking ODE's means you are not a brainlet
Functional Analysis is the brainlet test, pleb
Ill be taking complex analysis since i need it to graduate. I eont be a brainlet after i take that right?
> I will have to take link related uh.edu
>I am planning on taking this uh.edu
Are you even allowed to do that? PDEs 1&2 seem like a more thorough version of the introPDEs course. I'd skip the intro and go straight into 1&2. If that makes you one too short for the minor then take the complex analysis course.
>your opinion on the textbook[s]
My PDEs course used both Haberman and Strauss and from the sections I read of them, they were both fine. PDEs is just a difficult course (in both computation and theory) and kids that weren't ready for it like to take it out on the book and professor. I know honors math kids that outright failed it because they've never done a physics course and couldn't grasp the motivation.
If you've already taken linear algebra just take the standard ODE course, it'll better prepare you for PDE, also worth mentioning that the PDE sequence can be sporadic so make sure the full sequence is being offered before you enroll. The complex analysis course at UH is laughably easy, you might as well take the math methods for physics class, last time I checked that can be used as a substitute for complex analysis. Math methods is basically complex analysis, special functions, material on asymptotic techniques, and some more topics that depend on whose teaching it.
The material covered in PDE 1 & 2 goes way beyond the intro class, it also helps to have some analysis for the later parts of strauss concerning L2 convergence and what not. A good book to cover the techniques is PDE for scientists and engineers.