Scientific Computing Application Area?

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A third-year undergraduate math student returning to school after a four-year break seeks advice on selecting courses that will enhance their knowledge and prepare them for research, particularly in bioinformatics. They have a solid foundation in mathematics and some background in chemistry and physics but are unsure about re-entering those fields. The discussion highlights the importance of taking classes that combine computer science with biological applications, particularly the Intro to Computational Biology and Bioinformatics course, which is seen as beneficial for lab work. Participants emphasize the need for a basic understanding of biology to succeed in bioinformatics, although the course may not have strict prerequisites. Recommendations also include considering the relevance of other courses like Math Methods in Physics and Thermal Physics, but the focus remains on integrating computational skills with biological sciences to maximize research utility.
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Hi everyone!
I have a question for you all. I'm a 3rd year undergraduate math student who took 4 years away from school and I'm going to be returning this Fall(^.^). Prior to leaving school, I'd take courses in C++, Numerical Methods, Two additional semesters of Numerical Analysis, Modern Algebra, Vector Calculus, Advanced Calculus, Linear Algebra, and the first two courses in both Chemistry and Calculus based Physics. Since I've been out, when I go back I'm going to take it slow and pad my existing knowledge of math with some other subjects(mainly computer science).

I understand that I need to learn a little science in order to be useful in a research lab, so does anyone have any suggestions about what classes I should take in that pursuit? It's been 6 years since Chemistry and 5 years since Physics, but I really enjoyed both. How hard would it be to get back in the saddle with those and take upper level courses in those disciplines? A lot of the computer science professors at my school work in bioinformatics, I know some folks in the chemistry department(quantum/computational chemistry), and I have the opportunity to take courses in most any field. Does anyone have any recommendations for what would be a good route? Thanks :)
 
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To help narrow it down, here are some courses I'm window shopping at the moment. Which ones do you think would best for me with my background?

Intro to Computational Biology and Bioinformatics
Introduction to computational biology and bioinformatics (CBB) through hands-on learning experiences. Emphasis on problem solving in CBB. Breadth of topics covering structural bioinformatics; modeling and simulation of biological networks; computational sequence analysis; algorithms for reconstructing phylogenies; computational systems biology; and data mining algorithms.

Math Methods in Physics
Applications of mathematical methods to physics. Topics include spatial coordinate systems, linear algebra techniques in coupled motions, series approximations of solutions to physical systems, extremum problems in physics, differential equations in mechanics, integration in two and three spatial dimensions, probability theory in thermal physics.

Thermal Physics
Introduction to the concepts, formalism, and applications of classical and quantum statistical mechanics, including thermodynamics.

Physical Chemistry
Principles of thermodynamics, kinetics, and quantum mechanics applied to chemical equilibria, reactivity, and structure.

Electromagnetic Fields
Maxwell's equations and their application to engineering problems. 3105: transmission lines, electrostatics, magnetostatics. [Second Semster]: time-varying fields, Maxwell's Equations, waves, propagation, guided waves, radiation.



It's really a shot in the dark for me, and I'm not sure which fields have the best futures and also which are most feasible to take in addition to a slew of applicable Computer Science courses(Parallel Computation, Computer Systems, Computer Architecture, etc) and the 4 Mathematics courses I have left(Applied Combinatorics, Applied Modeling, Operational Methods/PDEs, and Complex Analysis).
 
If you're wanting to be useful in a lab, then the bioinformatics class looks like a good one. Those computer science classes you mentioned would also come in handy in a bioinformatics lab.
 
esuna said:
If you're wanting to be useful in a lab, then the bioinformatics class looks like a good one. Those computer science classes you mentioned would also come in handy in a bioinformatics lab.

It seems like it's everywhere at my university these days. Is it the kind of thing that you need to have an interest in biology for? I haven't taken Biology since Sophmore year of High School(10 years ago) so I'm not really sure where it sits with me.
 
Does that class have any prerequisites? I wouldn't be surprised if it required a Biology class. On the other hand I wouldn't be surprised if it doesn't. Bioinformatics is a broad discipline and there are some areas, such as genetic analysis/pattern recognition that are pretty separated form the actual biology and are more concerned with computer science.

I would recommend at least being comfortable with biology. If you just absolutely hate biology and want nothing to do with it then maybe it's not for you. I was recently hired as an undergrad research assistant in the computational imaging/pattern recognition side of bioinformatics. Although it seems like I won't be doing any "wet lab" kind of stuff, I'm going to be sitting at a computer right next to someone who is.

I'm recommending the informatics course assuming that your goal is to be "useful in a research lab." That will at least get you started. It looks like you've had a lot of numerical analysis so it seems the most suited for you. All the other classes you listed are just normal courses that a physics major or chemistry major would take. Doesn't look like they have a computational aspect.
 
Hey, I am Andreas from Germany. I am currently 35 years old and I want to relearn math and physics. This is not one of these regular questions when it comes to this matter. So... I am very realistic about it. I know that there are severe contraints when it comes to selfstudy compared to a regular school and/or university (structure, peers, teachers, learning groups, tests, access to papers and so on) . I will never get a job in this field and I will never be taken serious by "real"...
Yesterday, 9/5/2025, when I was surfing, I found an article The Schwarzschild solution contains three problems, which can be easily solved - Journal of King Saud University - Science ABUNDANCE ESTIMATION IN AN ARID ENVIRONMENT https://jksus.org/the-schwarzschild-solution-contains-three-problems-which-can-be-easily-solved/ that has the derivation of a line element as a corrected version of the Schwarzschild solution to Einstein’s field equation. This article's date received is 2022-11-15...

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