Scientific Computing Application Area?

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Discussion Overview

The discussion revolves around course selection for a returning undergraduate math student interested in scientific computing and its applications in research labs, particularly in the fields of bioinformatics, physics, and chemistry. Participants explore various course options and their relevance to the student's background and future goals.

Discussion Character

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

Main Points Raised

  • One participant suggests that the bioinformatics class would be beneficial for lab work, emphasizing its relevance to computer science and the student's background in numerical analysis.
  • Another participant questions whether an interest in biology is necessary for the bioinformatics course, noting their own lack of recent biology experience.
  • A different participant raises the possibility of prerequisites for the bioinformatics class, indicating that some areas of bioinformatics may not require extensive biology knowledge.
  • There is a suggestion that familiarity with biology could be important for success in bioinformatics, especially if the student has a strong aversion to the subject.
  • Participants discuss the computational aspects of the suggested courses, with one noting that other listed courses appear to be standard for physics or chemistry majors without a computational focus.

Areas of Agreement / Disagreement

Participants generally agree that the bioinformatics course could be useful for the student’s goals, but there is uncertainty about the necessity of a biology background and whether the course has prerequisites. Multiple viewpoints on the relevance of other courses remain unresolved.

Contextual Notes

Some participants express uncertainty regarding the prerequisites for the bioinformatics course and the extent to which a background in biology is required. There is also a lack of consensus on the computational relevance of other suggested courses.

Who May Find This Useful

Students considering a return to academic studies in math, computer science, or scientific research, particularly those interested in bioinformatics or interdisciplinary applications of computational methods.

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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.
 

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