Chevron Left
Back to Introduction to numerical analysis

Learner Reviews & Feedback for Introduction to numerical analysis by National Research University Higher School of Economics

4.9
9 ratings
4 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

Filter by:

1 - 5 of 5 Reviews for Introduction to numerical analysis

By Dawars

Sep 06, 2019

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

By Pingchuan M

Oct 04, 2019

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 Mahadev D

Oct 07, 2019

nice

By Sunny J

Nov 02, 2019

Awesome Course

By Chintan S

Dec 07, 2019

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.