courseraПрограммирование

Fundamental Linear Algebra Concepts with Python

Курс от Howard University

Уровень не указан≈ 21 чАнглийский

О курсе

In this course, you'll be introduced to finding inverses and matrix algebra using Python. You will also practice using row reduction to solve linear equations as well as practice how to define linear transformations. Let's get started!

Навыки, которые вы освоите

Linear Algebra Python Programming Algebra Applied Mathematics

Программа курса

4 модулей · 58 учебных материалов

01Introduction to Finding Inverses14 материалов

A. Introduction to Specialization and Course

Specialization Introduction Видео Course IntroductionВидео Instructor Introduction - Dr. Davenport and Dr. DoumbiaВидео Instructor Introduction - Dr. MaullВидео Welcome to Fundamentals of Linear Algebra and Data Science Concepts with PythonЧтение

02Introduction to Matrix Algebra with Python12 материалов

A. Introduction to Matrix Algebra with Python

Review of Matrix ArithmeticВидео Review Matrix Algebra in PythonВидео Matrix Algebra Functions Using PythonЗадание Matrix Algebra in Python with NumpyВидео C2.M2.LabNB001 - Basic Matrix Algebra in NumpyЛабораторная

03Solving Systems of Linear Equations12 материалов

A. Solving Systems of Linear Equations Using Row Reduction

Reduced Row Form: Infinitely Many SolutionsВидео Row Reduction (No Solutions)Видео C2.M3.LabNB001 - Row Echelon Form (REF) in SympyЛабораторная Inverses of Matrices in Numpy and SympyВидео C2.M3.LabNB004 - Matrix Inverse in Sympy and NumpyЛабораторная Using Row Reduction to Solve Linear Equations

04Eigenvalues and Eigenvectors20 материалов

A. Linear Transformations

Linear TransformationsВидео Examples of Linear TransformationsВидео Matrix Representations of TransformationsВидео Linear TransformationsЗадание

B. Find Eigenvalues and Eigenvectors

EigenvaluesВидео Finding EigenvaluesВидео

Учитесь у экспертов

Dennis Davenport

Graduate Director and Associate Professor

MOUSSA DOUMBIA

Faculty

Keith Maull

Adjunct Instructor