MHB Which Math Course is Easier and More Useful for a Computer Science Degree?

  • Thread starter Thread starter find_the_fun
  • Start date Start date
  • Tags Tags
    Course
AI Thread Summary
When choosing between Discrete and Combinatorial Mathematics and Introduction to Differential Equations for a computer science degree, the relevance of the courses to a future career is a key consideration. Discrete and Combinatorial Mathematics covers essential topics such as graph theory, combinatorial proofs, and recurrence relations, which are directly applicable in computer science fields like algorithms and data structures. In contrast, Introduction to Differential Equations focuses on solving various types of equations and their applications, which may be less frequently used in typical computer science roles. Given the preference for an easier course and the career relevance, Discrete and Combinatorial Mathematics is generally seen as the more beneficial choice for aspiring computer scientists.
find_the_fun
Messages
147
Reaction score
0
I'm working towards computer science degree and have a choice between Discrete and Combinatorial Mathematics and intro to diferential equations. No offensense but I don't really like math and would like to take the course that is easier. If they are around the same dificulty which would be more likely used in a career?

Discrete and Combinatorial Mathematics

Graph theory, counting, combinatorial arguments and proofs, inclusion-exclusion, partial orders and equivalence relations, deriving and solving recurrence relations, generating functions.

Intorduction to Differential Equations

First order equations, linear second order equations and 2-dimensional systems of linear equations with constant coefficients, elementary qualitative methods, numerical Euler and Runge-Kutta methods, Laplace transform, applications.
 
Last edited:
Physics news on Phys.org
find_the_fun said:
I'm working towards computer science degree and have a choice between Discrete and Combinatorial Mathematics and intro to diferential equations. No offensense but I don't really like math and would like to take the course that is easier. If they are around the same dificulty which would be more likely used in a career?

Discrete and Combinatorial Mathematics

Graph theory, counting, combinatorial arguments and proofs, inclusion-exclusion, partial orders and equivalence relations, deriving and solving recurrence relations, generating functions.

Intorduction to Differential Equations

First order equations, linear second order equations and 2-dimensional systems of linear equations with constant coefficients, elementary qualitative methods, numerical Euler and Runge-Kutta methods, Laplace transform, applications.

I don't know about the difficulty level you would find for each of these, but relevance to your career would make Discrete & Combinatorial a no-brainer.

CB
 
Last edited:
I graduated with a BSc in Physics in 2020. Since there were limited opportunities in my country (mostly teaching), I decided to improve my programming skills and began working in IT, first as a software engineer and later as a quality assurance engineer, where I’ve now spent about 3 years. While this career path has provided financial stability, I’ve realized that my excitement and passion aren’t really there, unlike what I felt when studying or doing research in physics. Working in IT...
Hi everyone! I'm a senior majoring in physics, math, and music, and I'm currently in the process applying for theoretical and computational biophysics (primarily thru physics departments) Ph.D. programs. I have a 4.0 from a basically unknown school in the American South, two REUs (T50 and T25) in computational biophysics and two semesters of research in optics (one purely experimental, one comp/exp) at my home institution (since there aren't any biophysics profs at my school), but no...

Similar threads

Back
Top