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所在平台: Coursera专项课程 |
课程主页: https://www.coursera.org/specializations/linear-algebra-elementary-to-advanced
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课程名称：从初级到高级的线性代数 课程概述：本课程由约翰霍普金斯大学提供，目的是帮助学习者掌握线性代数的基本理论与技术，深入理解这一“万物理论”。欢迎免费注册参加。 课程大纲： 1. **线性代数：线性系统与矩阵方程** - 课程链接：[线性系统与矩阵方程](https://www.coursera.org/learn/linear-systems-and-matrix-equations) - 课程描述：本课程是三门课程专业化的第一门，介绍线性代数的基本概念。欢迎免费注册。 2. **线性代数：矩阵代数、行列式与特征值** - 课程链接：[矩阵代数、行列式与特征值](https://www.coursera.org/learn/matrix-algebra-determinants-and-eigenvectors) - 课程描述：这是线性代数专业化的第二门课程，将进一步深入探讨相关主题。欢迎免费注册。 3. **线性代数：正交性与对角化** - 课程链接：[正交性与对角化](https://www.coursera.org/learn/orthogonality-and-diagonalization) - 课程描述：这是线性代数专业化的第三门也是最后一门课程，专注于理论及其应用。欢迎免费注册。 这个专业系列的课程将帮助学生系统掌握线性代数的理论与应用，适合希望深入理解该领域的学习者。各课程均可免费注册。
Course Link: https://www.coursera.org/learn/linear-systems-and-matrix-equations
Name:Linear Algebra: Linear Systems and Matrix Equations
Description:Offered by Johns Hopkins University. This is the first course of a three course specialization that introduces the students to the concepts ... Enroll for free.
Course Link: https://www.coursera.org/learn/matrix-algebra-determinants-and-eigenvectors
Name:Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
Description:Offered by Johns Hopkins University. This course is the second course in the Linear Algebra Specialization. In this course, we continue to ... Enroll for free.
Course Link: https://www.coursera.org/learn/orthogonality-and-diagonalization
Name:Linear Algebra: Orthogonality and Diagonalization
Description:Offered by Johns Hopkins University. This is the third and final course in the Linear Algebra Specialization that focuses on the theory and ... Enroll for free.
Offered by Johns Hopkins University. Learn Linear Algebra - the Theory of Everything!. Master techniques and theory of linear algebra Enroll for free.
