Memorization-based, computational course, not too conceptually difficult. Might be harder if you decide to go further in the math branch, but most engineers stop here. No Proofs. All Computation. KNOW LAPLACE TRANSFORMS YOU WILL USE THEM (or Fourier transforms, which are very different but the concept is similar) LATER!

Covers elementary differential equations, and is entirely computational. The concepts were pretty simple, especially if you have gone through all 3 basic calculus courses previously.

Seems miserable, but very good at her job. I feel bad for her sometimes, especially when she vents infront of the class. Love her teaching style though, very upfront, and makes complicated thing simple.

Do all the homeworks, and do like 2 practice exams before the exams. The practice exams are kind of dated, and dont really reflect the actual exams too well for about 4-ish questions, but are good review. Exam Difficulty Tier List (Most Difficult Top, Least Bottom) 1. Exam 4, The Cumulative Final 2. Second Exam, Second-Order Differential Equations 3. Third Exam, Laplace Transforms 4. First Exam, First-Order Differential Equations

Pretty easy overall, just pay attention to lectures. T

Lectures were inperson, zoom, and recorded

Demas is the goat

N/a

Mostly a lot memorization of formulas and a heavy amount of algebra. Calc 2 is definitely not necessary, as it is mostly used in the last section of the course, where anything you need to know is reviewed pretty well. The final exam is cumulative and definitely a lot more brutal then the rest of the exams; make sure to prepare for that one. Overall not too hard but relatively time consuming.

Conceptually challenging but easy to get a good grade because of generous grading.

Class is basically an extension of Calc 2 and very heavy on memorization.

Expect to relearn trig identities and random integral formulas that you probably forgot from last year.

Demas is the best prof out of the MAP2302 profs.

The class period you chose does not matter since you can listen to any professor's lectures and class has no iClickers.

Definitely a tough course that requires a lot of attention. I fell behind at one point and catching up on the lectures was a lot...Demas is not great, I found her really distracted most of the time and so I stopped going to class and just watched Huang's lectures and Manly's youtube videos from when he taught the course in Spring 2021. Lots of extra credit though which is always nice. Just grind practice exams, do all the extra credit, and stay on top of lectures if you want a fighting chance.

Partial derivatives and gradients are super helpful with a lot of upper math courses and engineering, so it is a very useful class.