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Opiniones y comentarios de aprendices correspondientes a Introduction to numerical analysis por parte de National Research University Higher School of Economics

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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...

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1 - 8 de 8 revisiones para Introduction to numerical analysis

por Víctor A M G

Dec 09, 2019

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

por Dawars

Mar 25, 2020

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

por 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.

por ACERON, U V (

Mar 17, 2020

Excellent experience!

por Sunny J

Nov 02, 2019

Awesome Course

por Mahadev D

Oct 07, 2019

nice

por BAGAIN, J R (

Mar 31, 2020

ugh so goood

por 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.