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Introduction to numerical analysis に戻る

HSE University による Introduction to numerical analysis の受講者のレビューおよびフィードバック



Numerical computations historically play a crucial role in natural sciences and engineering. These days however, it’s not only traditional «hard sciences»: whether you do digital humanities or biotechnology, whether you design novel materials or build artificial intelligence systems, virtually any quantitative work involves some amount of numerical computing . These days, you hardly ever implement the whole computation yourselves from scratch. We rely on libraries which package tried-and-tested, battle-hardened numerical primitives. It is vanishingly rare however that a library contains a single pre-packaged routine which does all what you need. Numerical computing involves assembling these building blocks into computational pipelines. This kind of work requires a general understanding of basic numerical methods, their strengths and weaknesses, their limitations and their failure modes. And this is exactly what this course is about. It is meant to be an introductory, foundational course in numerical analysis, with the focus on basic ideas. We will review and develop basic characteristics of numerical algorithms (convergence, approximation, stability, computational complexity and so on), and will illustrate them with several classic problems in numerical mathematics. You will also work on implementing abstract mathematical constructions into working prototypes of numerical code. Upon completion of this course, you will have an overview of the main ideas of numerical computing, and will have a solid foundation for reading up on and working with more advanced numerical needs of your specific subject area. As prerequisites for this course, we assume a basic command of college-level mathematics (linear algebra and calculus, mostly), and a basic level of programming proficiency. Do you have technical problems? Write to us:



A simple course that would definitely help me in the near future as it provides me an idea on how interpolation and estimation works.


Excelent course. Really liked how the teacher explained the course in general. I would upgrade it with more examples reviewed.


Introduction to numerical analysis: 1 - 25 / 44 レビュー

by Víctor A M G


Excelent course. Really liked how the teacher explained the course in general. I would upgrade it with more examples reviewed.

by Siddharth Y


This was a course which was most worth my time. I am a physics student who just completed year one of university and it is my first time dealing with these topics in numerical analysis/methods. Dr. Evgeni Burovski explains the various topics very well and doing the assignments gives you decent mastery over the course content. Recommended as an introduction to anyone interested in numerical analysis or scientific computing.

by Srinivasan R


A simple course that would definitely help me in the near future as it provides me an idea on how interpolation and estimation works.

by Dawars


Great course with useful homework assignments in Jupyter notebook. Highly recommended!

by Chintan S


The course hardly provides any examples of the numerical methods discussed. If you are new to Numerical Methods, it would be better to learn Numerical Methods elsewhere and use this course only to build Python functions on your own in the assignments. These programming assignments are also not very crisp and you spend a lot of time figuring out how to implement.

The only great takeaway from this course for me personally was the handling of catastrophic cancellation problems.

by Adil R


Great course if you want to understand mechanics of computations. However, sometimes had struggles with understanding of explanations. But i'm glad for taking this course

by Pingchuan M


Very nice overall illustration of all relevant topics in numerical analysis. Laid a solid foundation if you want to dive deeper into any specific domain.

by ACERON, U V (


Excellent experience!

by Sunny J


Awesome Course




by Mahadev D



by Yiğit A T


Overall a very good course for introducing students to numerical methods. The only thing I would wish for is that there were more exercises. And some exercises just jumped to topics that weren't fully covered in class, so I needed to read up from other sources. This is not bad but makes it a bit tedious to follow the course. But nonetheless, I would definitely suggest you take this course if you are interested in the topic and want to start learning it. Very helpful!

by Abrar R


Great Course! Some of the theory was a bit more mathematically involved than I was expecting, but the assignments really helped drill a lot of those abstract concepts home for me, so all in all it was a great learning experience.



I think the lectures could've delved more into other software options. :)

by Cecilia


The Jupyter notebooks were good but I didn't feel like I was able to learn enough in just the course to do them well. There are only lectures, no articles to read or recommended links if you don't have a solid grasp of all the background material, and I ended up having to read a lot from external sources. The Professor looked like he was reading off a prompt and always had a weird, forced smile on his face that made it awkward to watch.

by ALDE, C J N (


can't unenroll

by Артём Ш


It's a great course for introduction to numerical analysis methods. Lectures were great and the Python assignments helped to get the on-hand experience of solving theoretical tasks

by Zhen X


Very good course. Very clear explanation and very well designed homework assignments.

by Theo B


Very intuitive and straight to the point course on numerical methods. Thank you !

by Nandu G


Pretty rigorous course, takes time to think and solve the assignments. Loved it.

by Venkatesan J


Excellent Course and Interesting

by rachit t


Assignments are really good !



I learned a lot from coursera

by Yogabrindha B


i really liked this course.

by Uscategui G S M


Este curso es excelente