Which math courses would help me most?

  • Courses
  • Thread starter orgin2
  • Start date
  • Tags
    Courses
In summary, the individual is a senior student who is trying to decide which math courses to take for the fall and spring semesters. They are interested in pursuing a graduate degree in Physics, specifically in fields such as Astrophysics, Nuclear Physics, Solid State, or Medical Physics. They have listed three options they are considering, including courses in Real Analysis, Computer Programming, Partial Differential Equations, Computational Linear Algebra, Discrete Mathematics, and Abstract Algebra. They have received advice from their faculty to follow their interests and possibly consider the first option, but the individual is leaning towards the second option as it includes important courses for a physics major. They have also received input to focus on developing a strong programming background and that math physics courses may be available
  • #1
orgin2
4
0
Hello PF!

So my registration is coming up soon-ish for the fall semester and I am having trouble deciding which math courses to take for my Fall and Spring semesters of Senior Year. Currently, I want to go to a Physics grad school of some sort in either Astrophysics, Nuclear Physics, Solid State or Medical Physics(I have not reached a final choice yet). Below I have listed the three choices I am considering that I feel would help me out some how.



First Option:

Real Analysis I in Fall: Basic theory for the real numbers and the notions of limit, continuity, differentiation, integration, convergence, uniform convergence, and infinite series. Additional topics may include metric and normed linear spaces, point set topology, analytic number theory, Fourier series.


Real Analysis II in Spring: A continuation of Real Analysis including discussion of basic concepts of analysis with particular attention to the development of the Riemann and Lebesgue integrals. Introduction to metric spaces, Fourier analysis.

Second Option

Intro to Computer Programming in Fall: Programming class using Python basically

Partial Differential Equations (Requires intro programming class) in Spring: Theory and applications of partial differential equations (PDE). Construction of PDE as models of natural phenomena. Solution via separation of variables, Fourier series and transforms, and other analytical and computational techniques. Independent or group research projects on open problems in applied PDE.

Computational Linear Algebra(Requires intro programming class) in Spring: Core techniques of scientific computing; solving systems of linear and nonlinear equations, approximation and statistical function estimation, optimization, interpolation, Monte Carlo techniques. Applications throughout the sciences and statistics

Third Option

Discrete Mathematics in Fall: An introduction to the basic techniques and methods used in combinatorial problem-solving. Includes basic counting principles, induction, logic, recurrence relations, and graph theory.

Abstract Algebra in Spring: Introduction to abstract algebraic theory with emphasis on finite groups, rings, fields, constructibility, introduction to Galois theory.
 
Physics news on Phys.org
  • #2
I'm guessing you've asked your faculty and they said - doesn't matter.

What are you most interested in? Do that.

If you still aren't sure, why not take a crack at the first option. Learning to program in python is something you can do for fun with hairdressing majors at the local community college. Real analysis is a challenge... you might need a professor to hold your hand through that...
 
  • #3
From what I have seen all physics majors typically end up learning programming eventually if you haven't learned any yet you are already somewhat behind. You might as well learn it now. I also think partial differential equations would be super important to a physics major, given that so much of physics is a differential equation.
 
  • #4
I think the second option would be the most useful -by far-. But since I'm just an undergrad student, do not trust me blindly.
 
  • #5
I would go for the second option. PDE's are very important and the more you know about it, the better.
Computational linear algebra and programming will also help you a great deal.
 
  • #6
If it were me, I'd go programming in the fall + linear algebra in the spring.

PDEs are pretty important but IMHO, unless you're taking a 6-9 credit sequence in them, and already had real/complex analysis, you'd probably be better off learning PDEs through mathematical physics courses (which get right to applications and solution methods). *That previous statement may be subject to school / department you're taking it in (math/engineering/physics) / instructor / book / etc... so maybe you'd get a lot out of a single PDE course.

Math physics courses will definitely be available during grad school, and you're probably better off getting a more solid programming background via the intro course and the computational LA class.

Good luck figuring stuff out.
 
  • #7
Ah! Thank you guys very much for the input. I think I will go with programming this fall then.
 
  • #8
It depends on what your interests are. If you are proficient in computer programming and want to do a lot of theoretical physics, a math class might be most useful. If you are not proficient in computer programing, a CS class would probably be most useful.
 

1. What math courses should I take for a science major?

The math courses that would be most beneficial for a science major vary depending on your specific field of study. However, some common courses that are useful for all science majors include calculus, statistics, and linear algebra. It is important to consult with your academic advisor to determine the math courses that are required for your major.

2. Are there any math courses that are particularly helpful for a career in research?

Yes, there are several math courses that can be very helpful for a career in research. These may include courses in differential equations, mathematical modeling, and advanced statistics. Additionally, courses in computer programming and data analysis can also be valuable for research in many fields.

3. I struggle with math, but want to pursue a career in science. Are there any math courses that would be easier for me?

The difficulty of a math course can vary from person to person, so it is important to find the courses that work best for you. However, some students find that courses in discrete mathematics or applied mathematics are more intuitive and easier to understand compared to other math courses like calculus or abstract algebra.

4. Will taking advanced math courses benefit me even if I am not majoring in a math-related field?

Yes, taking advanced math courses can be beneficial for students in any field. Math courses help develop critical thinking skills and problem-solving abilities, which are valuable in any career. Additionally, many employers value applicants who have a strong foundation in math and quantitative reasoning.

5. Are there any math courses that are required for graduate school in the sciences?

The specific math courses required for graduate school in the sciences may vary depending on the program and field of study. However, most graduate programs in the sciences require applicants to have completed courses in calculus, statistics, and linear algebra. Some programs may also require additional courses in advanced math or computer science, so it is important to research the requirements for your specific graduate program.

Similar threads

  • STEM Academic Advising
Replies
11
Views
635
Replies
26
Views
2K
  • STEM Academic Advising
Replies
6
Views
155
  • STEM Academic Advising
Replies
21
Views
2K
  • STEM Academic Advising
Replies
12
Views
1K
  • STEM Academic Advising
Replies
9
Views
1K
  • STEM Academic Advising
Replies
18
Views
2K
  • STEM Academic Advising
Replies
9
Views
1K
  • STEM Academic Advising
Replies
28
Views
2K
  • STEM Academic Advising
Replies
7
Views
2K
Back
Top