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Linear Algebra and Numerical Methods (QF208)

Course description

Linear algebra is the foundation of many quantitative methods. There are a lot of applications in the fields of finance, data science, econometrics, operation management, medical science, engineering, machine learning, and physics which use tools of linear algebra to solve real-world problems. This course consists of two parts. The first part covers matrices (including matrix operations, inversion) and systems of linear equations (including their solutions by Gauss elimination and matrix oper...


Pre-requisites

Seminar Required

Graded, 1.0 Credit Units


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