<p>I'm a sophomore at NYU, currently wrapping up the Calculus sequence this semester and Linear Algebra. I'll be taking Analysis next semester and Abstract Algebra (Called Algebra I) in the spring.</p>
<p>Those are, I assume, very rigorous. I'm looking to balance them out with less rigorous courses. I'm not entirely sure whether I'll continue with math after my undergraduate degree, so having said that, I'm looking to get a well rounded math background, leaning towards a more applied side. I'm not a big fan of proofs and I would like to see them as little as possible in my elective math courses.</p>
<p>Having said all that, here is a link with course descriptions for all the undergraduate math courses. Based on the little information they provide, and your previous experiences with math courses, I would appreciate if you guys could pick out 2 or 3 courses you think would be the least rigorous, and if possible 2 or 3 that would be the most rigorous looking as well. A short little explanation as to why you chose as you did would be very helpful and deeply appreciated.</p>
<p>Link to undergrad course descriptions: Undergraduate</a> Course Descriptions</p>
<p>Thanks for any and all help!</p>
<p>Discrete math. Because it’s fun.</p>
<p>Ah, forgot to mention I already took discrete math. Also, it was pretty “rigorous”.</p>
<p>90% of the weekly problem sets were proofs and the midterm + final were entirely compromised of proofs.</p>
<p>Complex analysis? Useful for grad-level physics and some kinds of engineering, I know that.
Vector analysis? You probably covered half of it in multivariable calc anyway, and it’s also useful for physics and some kinds of engineering.
Probability and statistics? Everybody should take a class on this. I wish I had time to take a proper probability and stats course.
NUMERICAL ANALYSIS!!! Too bad it’s in a fake language, but it should still be useful.
Chaos and dynamical systems, woot! I wish I had time to get a double major in math.
Transformations and geometries, sounds like it could be useful for computer graphics.
Ah, differential geometry. Necessary for general relativity.</p>
<p>Numerical analysis should be the least-rigourous and the least proofy. If you are comfortable with programming it should be a cinch!</p>
<p>Fantastic, I’ll look into it. I’m a noob at programming, finishing up my first course this semester but I’m really enjoying it and I’m doing very well in it so it sounds like an ideal course.</p>
<p>Thanks for the help!</p>