Deciding between Applied Math and Math as my second Major?

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SUMMARY

The discussion centers on the decision between pursuing Applied Math versus Pure Math as a second major for a Computer Science student. The participant expresses challenges in Honors Calculus III but enjoys the rigor of mathematics. They highlight the relevance of Pure Math topics such as combinatorics, discrete mathematics, and linear algebra to computer science, while noting that Applied Math focuses on practical applications like calculus and numerical analysis. The participant emphasizes the importance of understanding proof writing and suggests taking an introductory course in proofs before delving into Pure Math.

PREREQUISITES
  • Understanding of Honors Calculus III concepts
  • Familiarity with discrete mathematics and proof writing
  • Basic knowledge of combinatorics and linear algebra
  • Awareness of the differences between Pure Math and Applied Math
NEXT STEPS
  • Research the relationship between computer science and combinatorics
  • Learn about discrete mathematics and its applications in computer science
  • Explore introductory courses on proof writing and analysis
  • Investigate the role of numerical analysis in algorithm efficiency
USEFUL FOR

Computer science majors, mathematics students, and anyone considering a double major in math, particularly those interested in the theoretical aspects of computer science and algorithm development.

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I'm a computer science major. I plan to double in math, but, for a computer science major, would I be better off studying applied math?

Right now, I'm not doing as well in my Honors Calculus III course as I have in earlier math classes. (I have a B.) It isn't like anything I did in high school. I never had to write "rigorous proofs." Even though this course has been difficult for me, I find it extremely enjoyable and challenging.
 
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I'm currently starting compEE engineering and doing something with pure maths.

Some pure maths I've researched to be relevant to computer science topics include combinatorics, discrete maths, math logic and set theory, number theory, and linear algebra. There are likely more too. I would google "computer science and <insert course here>"

If you want to focus on computer science theory, then coursework in those classes listed are very useful.

I currently see the relationship between computer science and applied math as: making efficient programs and algorithms for computers to handle computation of such maths. (if anyone disagrees, help expand my perspective).

These pure courses requires efficiency in proof writing and understanding. You may want to tackle an intro to proof course (discrete math in some schools) before going into them.

Pure math and applied math differ. So far, my applied math courses focused on using theorems to create techniques for computation/solving. These include calculus, differential equations, numerical analysis, etc. Pure maths have been mostly proving consequences among consequences originating from accepted truths that describe a mathematical object. These classes are likely something you have never seen before. Additional pure courses are analysis (proof based calculus), abstract algebra (whatever it is, I'll find out soon) and topology (same).

Math is full of challenge and enlightment. Certainly a great subject to pursue on the side.

Edit: moar english fix
 
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