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Learner Reviews & Feedback for Introduction to numerical analysis by HSE University

4.7
stars
317 ratings
43 reviews

About the Course

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: coursera@hse.ru...

Top reviews

AR
Nov 4, 2020

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

SR
Jun 6, 2020

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

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26 - 43 of 43 Reviews for Introduction to numerical analysis

By AYENG, R D (

Mar 26, 2021

Thank You!!!

By Lubomir

Jun 11, 2020

great course

By BAGAIN, J R (

Mar 31, 2020

ugh so goood

By ANGHELLO E M P

Dec 14, 2020

Excelente

By Brayam A O R

Dec 6, 2020

Excelente

By JEAN P R V

Sep 15, 2020

thank you

By Sawar

Jun 4, 2020

very good

By Angely N G B

Dec 9, 2020

me gusto

By Daniela C A

Jun 1, 2020

So good.

By Muhammad A

Jun 4, 2020

owsem

By NEHA F

May 13, 2020

Great

By Brenda c C

Dec 9, 2020

best

By Riya S

Jun 26, 2020

Good

By Yiğit A T

Mar 22, 2021

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 Shuiai X

Mar 1, 2021

very good lecture and assignments. Just very hard to found classmates to review assignments.

By Иващенко О

Dec 13, 2020

The course is challenging enough, but explanations are too pure.

By S D 1

May 28, 2020

good for both math and program person.

By ULZAME, D J (

Nov 2, 2020

good