There are two parts in this class. The theoretical math part and the practical coding part. The total grade is calculated on 7 HWs (10% each) and 1 Final Project (30%). And for homework, half of it is math problems and it includes a lot of manual calculations and few elementary math proofs; the other half is MATLAB coding. The Final Project grade is based on MATLAB coding (70%) and a report (30%). Then, for the theoretical part, the professor gave all resources you can expect as a student, pre-recorded lectures/notes (First half by professor Ertugrul Taciroglu; second half by professor Steve Margulis), recorded live-stream lectures/notes(by professor himself), practice problems with solutions, homework solutions, lot of Office Hours, a very good textbook (most of the time you don't have to read because of other resources); basically, you just learn the theoretical part as much as you want, and a good grade is guaranteed (because the professor does not have a TA and he graded extremely lenient himself, and the theoretical part looks like practice problems). The hard part is the MATLAB coding part. It depends, if you know how to code and use the internet wisely, it should not be a big deal since the professor would provide a template to you. The Final Project is all about coding (70% of Final Project Grade), try to understand "Least-square approximation, all methods of interpolation, all methods for Initial Value Problems (ODE only), the only introduced method of solving nonlinear system, i.e., Newton Iteration very well for Final Project. It's obvious, the person who grades your homework matters, and usually it's not your professor himself, be aware of that. There exist 2% extra credits and 97.5% is A+, 90% is A, 85% is A-; if you really want to explore the world of numerical analysis, I recommend taking it with Professor Rüter.

If you're not programming-inclined, like me, this class will be a bit harder than you expect. However, Prof Rüter is the best to take this with. He is very accommodating and very helpful when it comes to responding to emails about homework/projects and granting extensions. He grades pretty leniently, trying to give you points wherever he can. The grade in this class was mostly calculated off of HW, there were no exams but there was a big final project.

I learned a lot from Dr. Rüter. The class is heavy on Matlab for homeworks and is related to linear algebra. I was scared knowing that, but I learned Matlab a lot more effectively in this class comparing to the "intro to Matlab" class. The professor clearly presented what he expects from us in homeworks and exams, and he was very clear in explaining all the concepts. He also motivated us by applying the material on real world applications. He is always willing to help and explain the details during his office hours. I highly recommend that you take this class with Dr. Rüter!!