This certificate course in Applied Linear Algebra focuses on the fundamental concepts of vectors and matrices. Vectors are defined as ordered lists of numbers, and their dimensionality is determined by the length of these lists. The course explores linear vector spaces, which consist of sets of vectors and functions, and the operations of addition, subtraction, and scalar multiplication. Students will learn about vector algebra, including the geometric interpretation of vectors as directed line segments with both magnitude and direction. While the concepts can be challenging, the practical applications of linear algebra are invaluable in various industries. This course aims to demystify these concepts and provide a solid foundation in linear algebra for real-world applications.
Course Content
المحتوى
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Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 16: Gram-Schmidt Algorithm
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Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 19: Matrix-Vector Examples
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Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 24: Linear Function Models
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Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 26: Linear Dynamic Systems
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Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 34: Least Squares Examples
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Stanford ENGR108: Introduction to Applied Linear Algebra | 2020 | Lecture 47: Portfolio Optimization
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Final Exam – Applied Linear Algebra: Understanding Vectors and Matrices




















































