線性代數(英文授課)

Course outline: This is an introductory course in Linear Algebra with emphasis on basic knowledge and concepts. Course objectives: Solve the linear equation Ax=b by Gaussian elimination and Gaussian-Jordan elimination. Proof the properties of matrices and determinants and use them in solving problems. Describe and explain vector spaces: basis, dimension, change of basis, and solve Ax = b. Apply eigendecomposition and singular vector decomposition and differentiate their strengths. Leverage the SVD method on neural signals and assess how it could filter out noise. Formulate a real-world problem as a linear algebra problem and evaluate the performance of the linear algebra solution.

High-school level mathematics and understanding in vector, matrix, and linear equations.

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***** The first class will be on September 22, 2021, due to the adjusted semester start date for freshmen. ***** ***** The online meeting link for the first class: (https://meet.google.com/sug-nysf-zny) ***** ***** For in-class enrollment, please attend the online course meeting on 9/22 and sign up for the waitlist. ***** ***** Being on the waitlist does not guarantee a seat in the class. ***** ***** There might be modifications due to unforeseen events in this class. *****

Attendance: 10% Quiz: 20% Assignment (Homework/Note/Project): 70%

教師未提供此項資料

(optional) Introduction to Linear Algebra, 4th ed., Gilbert Strang Linear Algebra with Applications, 8th ed., Steven J. Leon

地點

教師未提供此項資料

時間

By appointment

聯絡方式

Chun-Shu Wei (wei@nycu.edu.tw) TAs: Yan-Ming Kuan (pzps0964604@gmail.com) & Jin-Lun Chou (jalan.c@nycu.edu.tw)