What Math Course Comes After Partial Differential Equations?

  • Thread starter Thread starter Math10
  • Start date Start date
  • Tags Tags
    Study
Click For Summary

Discussion Overview

The discussion centers around the question of what mathematics course should follow Partial Differential Equations for someone with a background in various mathematical subjects and an interest in Computer Science. The scope includes potential pathways in mathematics that relate to computer science and the nature of different mathematical fields.

Discussion Character

  • Exploratory
  • Debate/contested
  • Conceptual clarification

Main Points Raised

  • Some participants suggest that the choice of the next course depends on personal interests, as mathematics branches out in many directions.
  • Logic, combinatorics, naive set theory, and real analysis are proposed as possibilities for strengthening proof skills.
  • Probability and statistics are mentioned as relevant for machine learning applications.
  • Number theory is noted for its connection to cryptography.
  • Signal processing and Fourier analysis are suggested for their applications in image processing and computer vision.
  • Numerical analysis is highlighted as important due to its overlap with programming.
  • Complex variables are questioned regarding their classification as applied or pure math, with some suggesting they are used in both contexts.
  • Participants discuss whether complex analysis and complex variables are the same, confirming they are, and mention prerequisites that may include calculus or real analysis.
  • Real analysis is characterized as leaning towards pure mathematics but also relevant for applied work, particularly in probability and numerical methods.

Areas of Agreement / Disagreement

Participants express a range of views on the next steps in mathematics education, with no consensus on a single course to pursue after Partial Differential Equations. There is also a lack of agreement on the classification of certain mathematical fields as purely applied or purely theoretical.

Contextual Notes

Participants note that the relevance of certain courses to computer science may vary, and prerequisites for courses like complex variables can differ based on the course's rigor.

Math10
Messages
301
Reaction score
0
For someone who learned the following courses:
Calculus 3 (Multivariable Calculus)
Linear Algebra
Differential Equations
Partial Differential Equations
---------------------------------------------------------------
What math course should this person study/learn after Partial Differential Equations? This person has a strong interest in Computer Science and math.
 
Physics news on Phys.org
It's up to them. Math branches out in lots of different directions at that point, and there are many of those directions that have some relation to computer science, which also has lots of different branches. So, they would need to narrow it down a bit more, I think. Logic or combinatorics might be possibilties. Naive set theory and real analysis might be a possibility to get good at proofs. Prob/stat would go well with machine learning stuff, among other things. Some number theory would go with cryptography. Signal processing stuff and Fourier analysis could help with image processing and computer vision.
 
Oh, and numerical analysis is another important one that overlaps a lot with programming.
 
How about Complex Variables? Is CV applied or pure math? Is Numerical Analysis applied or pure math?
 
Numerical analysis is more applied.

Complex variables isn't really pure or applied. It's used in both pure and applied. I'm not sure that there's a huge relevance to computer science there, but it could come up at some point.
 
Also, is Complex Analysis and Complex Variables the same thing? Is Complex Analysis pure or applied math? What's the prerequisite of Complex Variables?
 
Complex analysis and complex variables are the same thing. It's calculus with complex numbers. Prereqs are sometimes just calculus, but sometimes real analysis, if it's a more rigorous version of the course.
 
Is Real Analysis pure or applied math?
 
Real analysis, like complex analysis isn't really pure or applied. It's a bit on the pure side, but you would need to know it for a lot of applied work, too. It would help if you were using heavy probability or doing numerical work, for example. It's not terribly relevant to computer science, but it is a class where you learn how to be good at proofs, so in that sense, it could still be relevant, if you want to be on the math side of computer science.
 
  • Like
Likes   Reactions: Math10
  • #10
Thank you so much for the info.
 

Similar threads

  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 16 ·
Replies
16
Views
3K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 21 ·
Replies
21
Views
3K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 19 ·
Replies
19
Views
2K
  • · Replies 11 ·
Replies
11
Views
3K
  • · Replies 6 ·
Replies
6
Views
2K