Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.12202/8070
Title: | MATH 2105: Linear algebra I |
Authors: | Nandori, Peter 0000-0001-8238-6653 |
Keywords: | Mathematics algebra linear equations |
Issue Date: | Jan-2022 |
Publisher: | Stern College for Women, Yeshiva University |
Citation: | Nandori, P. (2022, Spring). MATH 2105: Linear algebra I. Stern College for Women, Yeshiva University. |
Series/Report no.: | SCW Syllabi Spring 2022;MATH 2105 |
Abstract: | COURSE DESCRIPTION: In linear algebra, we learn how to solve systems of linear equations efficiently.Systems of linear equations are one of the most important and most commonly applied mathematical models in a big range of applications in engineering, physics, chemistry, economics, etc. Then we discuss the mathematical abstractions starting from linear equations. Topics to be covered include: Systems of linear equations, Gaussian elimination, matrices, matrix algebra; vector spaces, linear transformations, similarity; inner product spaces; determinants; eigenvalues and eigenvectors,diagonalization; quadratic forms; canonical forms; spectral theory; applications ¶ LEARNING Students will learn all basic concepts of linear algebra. Specific learning objectives: 1. Identify systems of linear equations and solve them with multiple methods. 2. Master the basic concepts of matric algebra 3. Compute determinants and understand its applications 4. Study abstract concepts of vector spaces 5. Apply tools of linear algebra in a range of applied mathematical areas |
Description: | SCW course syllabus / YU only |
URI: | https://hdl.handle.net/20.500.12202/8070 |
Appears in Collections: | Stern College Syllabi -- Spring and Fall 2021-2022 courses --- MATH (Mathematics) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
MATH2105K.Nandori.Spring2022.pdf Restricted Access | 101.31 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License