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 .
Introduction to numerical analysis
Национальный исследовательский университет "Высшая школа экономики"Об этом курсе
Basic command of college-level mathematics (linear algebra and calculus). Basic level of programming proficiency: python programming language.
Basic command of college-level mathematics (linear algebra and calculus). Basic level of programming proficiency: python programming language.
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Национальный исследовательский университет "Высшая школа экономики"
National Research University - Higher School of Economics (HSE) is one of the top research universities in Russia. Established in 1992 to promote new research and teaching in economics and related disciplines, it now offers programs at all levels of university education across an extraordinary range of fields of study including business, sociology, cultural studies, philosophy, political science, international relations, law, Asian studies, media and communicamathematics, engineering, and more.
Программа курса: что вы изучите
Machine arithmetics. Systems of linear algebraic equations.
Numerical linear algebra.
Non-linear algebraic equations.
Iterative method for linear systems.
Рецензии
Лучшие отзывы о курсе INTRODUCTION TO NUMERICAL ANALYSIS
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
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.
Great course with useful homework assignments in Jupyter notebook. Highly recommended!
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