Applied Math: Areas of Study & College Focus

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Discussion Overview

The discussion revolves around the various areas of study within Applied Mathematics, focusing on potential specializations for college students and the implications of those choices for future opportunities in research and industry.

Discussion Character

  • Exploratory
  • Conceptual clarification
  • Debate/contested
  • Homework-related

Main Points Raised

  • Some participants outline major subdisciplines in Applied Mathematics, including Numerical Analysis, PDE, Optimization, Network Theory, and Applied Probability.
  • There is a question regarding which specialization is more popular among students.
  • One participant advises against specializing too early, suggesting that foundational courses should be completed first.
  • Another participant mentions having already completed foundational courses and expresses interest in jumping directly into major requirements at university.
  • A participant inquires about which specialization may offer more opportunities outside of research.
  • Concerns are raised about the difficulty of real analysis, with one participant considering self-study before college.
  • There is a question about the distinction between regular linear algebra and numerical linear algebra, which one participant later resolves through independent research.
  • Participants seek recommendations for good institutions or universities for studying Applied Mathematics at both undergraduate and graduate levels.

Areas of Agreement / Disagreement

Participants express varying opinions on the timing of specialization, with some advocating for early focus and others suggesting a later decision. The discussion remains unresolved regarding the best specialization and its implications for career opportunities.

Contextual Notes

Some limitations include the lack of consensus on the most popular or beneficial areas of study and the varying definitions of what constitutes different subdisciplines within Applied Mathematics.

Who May Find This Useful

Students considering a major in Applied Mathematics, educators in mathematics, and professionals exploring career paths in applied mathematical fields may find this discussion relevant.

thrill3rnit3
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What are different areas of study in Applied Mathematics?

That's what I'm planning to do in college but I'm trying to figure out which area I'm going to focus on.
 
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The field is huge. A few of the bigger subdisciplines include

Numerical Analysis
PDE
Optimization
Network Theory
Applied Probability
 
I see. Which is the more popular one?
 
dont worry about specalizing until you have taken the standard maths for beginning undergraduates (various calc classes, linear algebra, etc)
 
I already took those classes in a nearby junior college.

so when I hit the university after high school i'd probably be jumping in right into the major requirements.
 
Also, which specialization offers more opportunities outside research?
 
Each of these areas is huge in both academic research and industry application. For many positions a masters or phd is necessary, so you may not want to specialize until late undergrad or graduate school, should you decide to do that.

I would recommend studying real analysis and numerical linear algebra next.
 
I heard real analysis is a hardcore math class. But I'm looking into getting a book and self-studying while I'm still not in college.

Meanwhile, "numerical" linear algebra? What's the difference between regular linear algebra and numerical linear algebra? I already took the linear algebra course offered in the community college so I'm just wondering...

EDIT: Nevermind about the numerical linear alg. question. I did a search on google and found the difference.

What are good institutions/universities for applied mathematics? both undergrad and grad.
 
Last edited:
Check out Gilbert Strang's linear algebra video lectures (first lecture here) at the MIT OCW site online. It's not numerical linear algebra, but it is probably a more advanced level than you have already seen, and probably a prequisite for understanding numerical linear algebra. Plus the lectures are great. If you already know linear algebra at that level, then I recomment picking up Numerical Linear Algebra by Trefethen and Bau,
http://www.comlab.ox.ac.uk/nick.trefethen/text.html
 
Last edited by a moderator:
  • #10
What are good institutions/universities for applied mathematics? both undergrad and grad.
 

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