Professor
Marcus Ruter
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Most Helpful Review
Spring 2020 - I was really worried before taking this class because I had absolutely no coding experience but honestly I was worried for nothing. The first 2 assignments were a rough learning curve simply because I had zero experience and didn't really know what to do at all, but they were simple enough that I did well on them. Following those first 2 homework assignments, I learned to really utilize the discussion forums and the lab recordings. The discussion forum is super helpful and the professor or one of the TA's usually answers really quickly and you can usually get your problem resolved with that. I would HIGHLY recommend watching the lab recordings. The TA's provide a lot of pseudocode and explanation that I would not have been able to solve the homework without. If your TA isn't super helpful, you can always watch another TA's videos because one of the benefits of having everything recorded and posted is that you can refer to other TA's.
Spring 2020 - I was really worried before taking this class because I had absolutely no coding experience but honestly I was worried for nothing. The first 2 assignments were a rough learning curve simply because I had zero experience and didn't really know what to do at all, but they were simple enough that I did well on them. Following those first 2 homework assignments, I learned to really utilize the discussion forums and the lab recordings. The discussion forum is super helpful and the professor or one of the TA's usually answers really quickly and you can usually get your problem resolved with that. I would HIGHLY recommend watching the lab recordings. The TA's provide a lot of pseudocode and explanation that I would not have been able to solve the homework without. If your TA isn't super helpful, you can always watch another TA's videos because one of the benefits of having everything recorded and posted is that you can refer to other TA's.
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Most Helpful Review
Summer 2023 - 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.
Summer 2023 - 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.
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